Monday, July 21, 2025

AstraZeneca - Södertälje - Sweden - Industry 4.0 Lighthouse Plant - Industrial Engineering 4.0

 At our manufacturing site in Södertälje, Sweden, we’ve pioneered the use of more than 50 digital solutions and upskilled the digital capabilities of 3,000 employees. AI-based digital twins, machine learning, process simulation and robotics has boosted productivity by 56% and reduced development lead times for launching new products by 67%. Södertälje accounts for 40% of AstraZeneca’s global production volume and is one of the largest pharmaceutical manufacturing sites in the world.


https://www.astrazeneca.com/what-science-can-do/topics/technologies/smart-factories-delivering-more-for-patients-worldwide.html#

https://www.astrazeneca.com/content/dam/az/PDF/Sustainability/AZ-TCFD-case-study-1.pdf

https://initiatives.weforum.org/global-lighthouse-network/case-study-details/astrazeneca---s%C3%B6dert%C3%A4lje/aJYTG0000000LMD4A2

https://careers.astrazeneca.com/sweden


Data Science and AI at AstraZeneca



https://www.linkedin.com/posts/anders-bergman-186203_last-week-i-and-astrazeneca-in-s%C3%B6dert%C3%A4lje-activity-7269091801188196353-_Qd9/

https://www.linkedin.com/posts/anders-bergman-186203_visit-digital-lighthouse-activity-7296539184654172162-mns4/






AstraZeneca - Wuxi - China - Industry 4.0 Lighthouse Plant - Industrial Engineering 4.0

 In China, we transformed our manufacturing site in the city of Wuxi by implementing more than 30 digital tools and AI-powered solutions, and by developing a digital and agile workforce. This has helped maintain speed, efficiency and quality in an increasingly complex environment, boosting output by 55%, reducing lead time by 44%, decreasing non-perfect batches by 80%, and improving productivity by 54%. It is today independently ranked in the top 10% of more than 800 world class pharmaceutical sites in quality, speed and efficiency.

https://www.astrazeneca.com/media-centre/articles/2024/global-operations-digital-ai-wef-lighthouse.html


To-date, we have upskilled over 2,600 employees in the possibility of what Industry 4.0 technologies can enable, through internal exhibits, interactive training and hands on experience. We are tapping into external collaborations to train in data science, agile and change management, to drive our acceleration journey and to sustain a digital mindset. Importantly, our Operations and IT colleagues have established the first dedicated digital transformation office, bringing in digital networks within each value stream to drive scaling of solutions and generate new ideas.


Through the application of data visualisation and advanced analytics solutions, our Wuxi Site has built capabilities to optimise and synchronise production through real time, end-to-end visibility of demand, inventory, order status and process performance. As of 2022, the site now operates with even higher safety, quality and efficiency.

https://www.astrazeneca.com/what-science-can-do/topics/technologies/smart-factories-delivering-more-for-patients-worldwide.html#


http://www.wndonline.cn/2024-10/10/c_1030820.htm



https://investinchina.chinadaily.com.cn/s/202505/12/WS6821b0b3498eec7e1f736754/astrazeneca-breaks-ground-on-new-small-molecule-drug-factory-in-wuxi.html

ACG Capsules - Pithampur - India - Industry 4.0 Lighthouse Plant - Industrial Engineering 4.0

  ACG Capsules (Pithampur, India): 


To stay ahead of the curve in an intensely competitive market, pharmaceutical supplier ACG Capsules prioritized manufacturing superior-quality products, improving responsiveness, increasing production yields and enhancing workforce productivity. To achieve this, ACG Capsules implemented 25+ Fourth Industrial Revolution use cases powered by the industrial internet of things (IIoT), machine learning (ML), deep learning (DL), digital twins, extended reality and generative AI. Effective adoption of these use cases has resulted in a reduction in critical defects of 98%, a shortening of production lead times of 39%, a drop in total losses of 51% and a 44% rise in workforce productivity.


ACG Strengthens its Engineering Leadership.

ACG Engineering, a division of ACG, the world’s only integrated pharmaceutical solutions and manufacturing company, has announced the appointment of Nikhil Kulkarni as the Group CEO of ACG Engineering. Based out of the company’s office in Pune, Nikhil will lead the strategic direction and operations of its engineering division.


An engineer by training, Nikhil holds a Master’s degree in Industrial Engineering from the University of Cincinnati, USA, and a Bachelor’s degree in Production Engineering from Shivaji University, India. He is also a certified Six Sigma Master Black Belt and Design for Six Sigma (DFSS) professional.

https://memuknews.com/health/pharmaceuticals/nikhil-kulkarni-acg/



New Lighthouse Factories Industry 4.0 December 2023 - Significant Growth and Productivity Benefits

https://nraoiekc.blogspot.com/2023/12/new-lighthouse-factories-industry-40.html


ACG Capsules Pithampur Named First Capsule Manufacturing Factory in Global Lighthouse Network





FICCI Event - Explore ACG Capsules' Global Lighthouse Factory: A Go & See Event on Operational Excellence
 Oct 25, 2024
Pithampur Plant , Madhya Pradesh

Overview
As part of the priorities for FICCI this year for Make in India, the Manufacturing Committee is organizing "Go & See" events for the industry at institutions that have demonstrated exemplary adoption of Operational Excellence, Quality, Safety, Maintenance, Digital, Advanced Analytics, and Industry 4.0 in manufacturing to realize significant business improvements and transform ways of working.

The intent is to encourage industry players such as yourselves to kickstart their own operational excellence and digital transformation journeys, and forge connections with organizations that have excelled at these efforts to foster knowledge sharing and mentorship.

As part of this initiative the next Go & See events would be hosted by ACG Capsules at their Pithampur Plant, Madhya Pradesh, on 25th October 2024 ( Friday)

Key highlights: -

• ACG Capsules Pithampur factory is located in SEZ , Pithampur, dist. Dhar, Madhya Pradesh, spread across 24 acres, with over 50% open green area. Manufactures Gelatin and HPMC capsules, including clean label HPMC capsules.
• ACG, Pithampur being awarded the prestigious "Global Lighthouse Factory" by WEF award in January 2024, a first for any pharma excipient manufacturer in the world.
• The factory is also ISO 9001,45001, FDA, Excipact and WHO GMP certified. It holds "Gold Rating" from Indian Green Building Council for sustainable building, the first for any pharma manufacturer in the country.
• Exports 98% of production to 70 countries, serving top pharmaceutical and nutraceutical clients.







How Smart Technology Is Helping Reach Sustainability Goals in Drug Packaging



ACG’s “moonshot moment”, becoming part of the WEF’s Global Lighthouse Network 
ACG Managing Director Karan Singh explains their journey in achieving the “Oscars of manufacturing”
By PT Jyothi DattaSiddharth Mathew CherianNabodita Ganguly
Updated - February 21, 2024 
https://www.thehindubusinessline.com/multimedia/audio/acgs-moonshot-moment-becoming-part-of-the-wefs-global-lighthouse-network/article67866256.ece

https://www.acg-world.com/news/acgs-moonshot-moment-becoming-part-wefs-gln-community
















Bosch - Wuxi - China Plant - Industry 4.0 Lighthouse Plant - Industrial Engineering 4.0

 


Tech & Sci 11:29, 19-Sep-2018

Wuxi factory embraces new technologies for smarter production

Updated 11:13, 22-Sep-2018

By Xu Mengqi, Ding Yi

https://news.cgtn.com/news/3d3d674d336b6a4d7a457a6333566d54/index.html


Illuminating the way

With Bosch’s manufacturing operation at Wuxi identified as a “Lighthouse” of industry 4.0, Mike Farish takes a closer look the site’s data-driven developments and explores a similar beacon of progress based in the UK

Mike Farish, Published 2 May 2019 

https://www.automotivemanufacturingsolutions.com/smart-factory/illuminating-the-way/525869




Bosch Automotive Diesel Systems (RBCD) plant in Wuxi in southern Jiangsu province, China


 Christophe Chapdelaine, senior vice-president manufacturing and quality management at the plant



In order to pilot Industry 4.0  approach the company decided to apply it first to machining, a key manufacturing procedure at the Wuxi site.

 “We use over a hundred 5-axis machining centres which are equipped with Bosch Rexroth MTX CNC systems,” 

“We deal with special steel as the raw material for our products and the main processes are high speed milling and drilling to high precision.”


Wuxi site set out on a six-month project to set up an industrial i4.0 framework integrating newly installed machine-condition sensors with individual cutting tool information.


“Bosch Nexeed PPM (Production Performance Manager) can be rolled out plant wide as a standard industrial i4.0 platform for predictive maintenance or real-time process and machine condition monitoring. It is compatible with standard industrial communication protocols like OPC-DA, which enable communication between machines and IT systems.”


“We installed Bosch Rexroth control to acquire data from motors and encoders with the parameters including torque, position and angle,”. 

“We also use MEMS (micro electro-mechanical system) sensors to gather vibration data.”



This set-up is aimed at gathering three distinct types of cutting tool information,: “The first is the tool pre-setting data, like tool length, radius and run-out. The second is tool life cycle, including tool grinding/re-sharpening batch, tool reached lifetime and tool change reasons. The third comprises data on tool inventory and location.”



appropriate analysis tools then turn this raw data into useful information to enhance manufacturing efficiencies. “We maximise tool life and minimise the tool quantity in circulation by using advanced data analytics,” he says. “All these help us to lower the tool inventory and cost and also provide relevant experts with powerful insights.”  These data gathering techniques have also been supplemented by the use RFID tags.



Data analysts with machining experts, together analyze data.  These different sets of expertise enabled the visualisation of the data and the development of customisable reports with increasingly powerful analyses, including diagnostic, predictive and prescriptive functions. In consequence plant personnel now have a deep understanding of cutting tool cost drivers, can identify tool types likely to sustain extended life quantities and are able to adjust inventory to future demand.



The reports  zero in on the causes of unnecessary expense. “We generate reports like Analyse and Diagnose Tool Premature Change Root Cause, Predict Tool Consumption and Prescription: Business Case Oriented Self-adjusting Tool Change Rule (cost vs. output…),” . “These customised reports combine the needs of domain experts and the recommendations of data experts and are created using a visual analytics platform, which is flexible, interactive and easily accessible by each user.”



By mid-2017 this approach had not only led to double-digit tool cost improvements but had also inspired the organisation to come forward with further big data applications including predictive maintenance and bottleneck analysis. Over the past two years during a critical high-demand situation these activities have further contributed to an increase in output of more than ten per cent in selected areas.


““Data analytics provides us with new methods and insights to improve quality, productivity and delivery,” 

Interesting Article - Mentions Wuxi - But a more general article

Dean CHEN Fangruo: Intelligent Manufacturing and Management Innovation

2024-01-22International Office

https://www.acem.sjtu.edu.cn/en/insight/81336.html



Global Lighthouse voices: A talk with Bosch Mobility China COO Norman Roth
April 18, 2025 | Interview






First, I believe in being nice to people but merciless to the process.

Another idea—and this in line with the thinking of Taiichi Ohno, founder of the Toyota production system—is to develop an “anger” against waste.


Gen AI
Thanks to gen AI models, you can take a work instruction or a quality document in Chinese, and with one click, translate it into multiple languages generating content tailored to very specific inquiries.









2025 Machine Shop Engineering, Technology & Industrial Engineering - Productivity Improvement & Cost Reduction News

 

Say YES to Knowledge Based Industrial Engineering. 

Use recent developments in engineering & technologies in process improvement for productivity. Develop files for each production process and accumulate the items of your interest. Do knowledge management.

Forward Thinking About Productivity: Assess each engineering and technology develop about its productivity benefit for the processes of your organization.
 

https://www.themachinist.in/category/machine-tools  (A Times group magazine) 


https://mfgnewsweb.com/archives.aspx

Metal Working Equipment News 

https://www.equipment-news.com/

Twitter Hashtag Machining

https://twitter.com/hashtag/Machining

MEM Magazine

Manufacturing & Engineering Latest News & Articles

https://memuknews.com/




Productivity Science of Machining - F.W. Taylor - Experiments and Results.

Free Download

https://www.academia.edu/104259034/Productivity_Science_of_Machining_F_W_Taylor_Experiments_and_Results


https://shopmetaltech.com/category/cutting-tools/


Manufacturing design and process planning

https://www.manufacturingsolutions.sandvik/en/our-offering/manufacturing-design-and-process-planning/


2025 News - Some Important Developments



Manufacturing’s AI Era is Here

March 5, 2025

Generative AI is helping to address the manufacturing skills shortage by improving training, encouraging proficiency, and documenting the experiences that enhance productivity and workplace safety.

Yannick Haeck

The manufacturing industry is heading toward an AI-powered future, with workforce training and development, becoming an important area benefiting from it.

https://www.americanmachinist.com/shop-operations/article/55272406/the-manufacturing-ai-era-is-here-poka-inc




14 Feb

Efficiency, precision, and a breakthrough you don’t want to miss


Sandvik Coromant

February 14, 2025

https://www.linkedin.com/pulse/efficiency-precision-breakthrough-you-dont-want-miss-sfaqf/



Ud. 25.3.2025

Pub. 14.2.2025

Productivity Improvement - “Industry 4.0, Leapfrog Opportunity for India” - Productivity Week Theme - India 2018








                                 IE Observing and Noting the Work Being Done on CNC Lathe






-------------------------------

12 to 18, February 2018 is the Productivity Week in India


“Industry 4.0, Leapfrog Opportunity for India” - Productivity Week Theme - India 2018

National Productivity Council - India - Theme Paper

http://www.npcindia.gov.in/wp-content/uploads/2017/07/Theme-Paper-2017-18.pdf

What is Industry 4.0?


The Fourth Industrial Revolution is using data captured by sensors in products and manufacturing equipment, analyzing to get information and using that information to automatically start and stop machines that include robots to d manufacturing and maintenance operations. This will improve productivity, quality and maintainablity. It is a revolution in manufacturing technologies brought about by international networking between things that facilitate communication and action. So the productivity of man can further go up due more efficient and effective connected machine net work and standard of living of the people is expected to go up substantially. Some countries are in the forefront in this revolution already with number of patents and factories that implemented these technologies.

NPC is driving Industry 4.0 in India through the productivity week celebration of 2018

The Fourth Industrial Revolution will result in the “Smart Factory”, which is characterized by versatility (flexibility and mass customization), resource efficiency, high incomes and  human friendly work environment (less discomfort to human operators) and digital integration with business partners.


Smart manufacturing - Benefits:
• Additional Revenue (Top line improvement)
• Lower Cost (Bottom line improvement)  through:

• Enabling Industrial Companies to redesign and optimize customer relationship.
• Enabling Industrial Companies to redesign and optimize the production process
• Visibility of  the status of all aspects of production system in real time
• By improving logistics processes and making them also  leaner
• Reduced inventories
• Maintenance processes standardization and optimization
• 100% traceability

Different  technologies of Industry  4.0 are available to choose and implement  based on the relevance, cost-effectiveness, and impact on productivity enhancement based on the current systems of organizations

• Additive Manufacturing – 3D Printing
• Sensors
• Robots (auto + co-bots)
• Simulation
• Augmented reality
• Cloud Computing
Big Data and Analytics
• Industrial Internet
• Horizontal and vertical integration

Cyber security is being strengthened to protect the information of the industrial companies that is stored and transmitted in the digital data stores (warehouses) and communication networks.

Productivity Science - Productivity Engineering - Productivity Management Framework in Productivity Improvement Through Industry 4.0



Productivity Science

Technology Change and Productivity

Changes in technology are the only source of permanent increases in productivity, but a number of transient factors can affect both true and "measured" productivity. For example, workers may work harder during periods of high demand and firms may use their capital assets more intensively by running factories for extra shifts; both factors can lead measured productivity to be too high relative to actual technological progress. Similarly, during periods of high demand, productivity can also rise due to increasing returns to scale. But,  the effect of transient factors is not permanent.
http://www.nber.org/digest/oct01/w8359.html

So permanent productivity improvement is brought about by engineering changes, procedure changes in service processes as well as management processes.

Industry 4.0 is offering number of new technologies and there technologies are to be incorporated into manufacturing and other engineering and business processes to increase effetiveness and efficiency. Management of incorporating the new technology and operating the redesigned facilities are also important to realize the benefits of Industry 4.0. Hence productivity engineering and productivity management also are involved.

Important Papers on IoT and Productivity

THE COMING PRODUCTIVITY BOOM: 

Transforming the Physical Economy with Information
http://www.techceocouncil.org/clientuploads/reports/TCC%20Productivity%20Boom%20FINAL.pdf



Embracing Industry 4.0 - Surviving and Growing in the New Manufacturing Environment

Industry 4.0: The Future of Productivity and Growth in Manufacturing Industries - Embracing Industry 4.0—and Rediscovering Growth

BCG View

Nine Technologies Transforming Industrial Production 


BIG DATA AND ANALYTICS

AUTONOMOUS ROBOTS

SIMULATION

HORIZONTAL AND VERTICAL SYSTEM INTEGRATION

THE INDUSTRIAL INTERNET OF THINGS

CYBERSECURITY

THE CLOUD

ADDITIVE MANUFACTURING

AUGMENTED REALITY

https://www.bcg.com/en-in/capabilities/operations/embracing-industry-4.0-rediscovering-growth.aspx


More Details on Technologies

BIG DATA AND ANALYTICS

AUTONOMOUS ROBOTS

SIMULATION

HORIZONTAL AND VERTICAL SYSTEM INTEGRATION

THE INDUSTRIAL INTERNET OF THINGS

CYBERSECURITY

THE CLOUD

ADDITIVE MANUFACTURING

AUGMENTED REALITY

ARTIFICIAL INTELLIGENCE



Dec 10, 2017.
Top 100 Business Use Cases of Artificial Intelligence
https://medium.com/@utpal_bob/top-100-business-use-cases-of-artificial-intelligence-by-utpal-chakraborty-721a495ebed4

Important Themes of Industry 4.0


The Factory of the Future
Time to Accelerate in the Race Toward Industry 4.0
Man and Machine in Industry 4.0
Industry 4.0: The Future of Productivity and Growth in Manufacturing Industries

https://www.bcg.com/en-in/capabilities/operations/embracing-industry-4.0-rediscovering-growth.aspx


https://www.manufacturingtomorrow.com/tag/industry-40

Data Analytics Period in Productivity Improvement - Productivity Engineering and Management

http://nraoiekc.blogspot.com/2017/06/data-analytics-period-in-productivity.html



Digital Transformation at Daimler Benz - 2015

http://nraoiekc.blogspot.com/2016/04/digital-transformation-at-daimler-benz.html


Industry 4.0 in India - Status, Implementations, Consultants and Product Manufacturers and Sellers

2017

Industry 4.0: Towards Smart Manufacturing

May 2017
http://businessworld.in/article/Industry-4-0-Towards-Smart-Manufacturing/26-05-2017-118968/


 “The fourth industrial revolution, agricultural and rural innovation, and implications for public policy and investments: A case of India”  Agricultural Economics, November 2017 issue.
http://ideasforindia.in/article.aspx?article=How-new-technologies-can-raise-farm-productivity


Prepare for a worldwide digital transformation

Geoff Maslen01 December 2017
University World News Issue No:485

Mobility, cloud computing, the Internet of Things, artificial intelligence and big data analytics are among the most important technologies in the digital economy today, says the OECD’s latest report on international science, technology and industry.
http://www.universityworldnews.com/article.php?story=20171201150237763


Onset of Industry 4.0 and print industry’s next frontier


By Puneet Datta,
18 August 2017
http://www.printweek.in/features/onset-industry-print-industry-frontier-25829


New Technology to Enhance Productivity for Manufacturing

By Ruth Morris - June 11, 2017
IoT productivity improvement training to small businesses in Massachusetts, USA
http://www.masstlc.org/new-technology-to-enhance-productivity-for-manufacturing/


Journey of Andhra Pradesh Towards Industry 4.0

January 11, 2017
http://www.electronicsb2b.com/headlines/tale-state-journey-towards-industry-4-0/

India's Readiness for Industry 4.0
A Report by Grant Thorton and CII


How to Leapfrog Effectively


https://www.weforum.org/agenda/2018/01/how-businesses-can-win-at-leapfrog




More Links

Kranti - Knowledge India
https://books.google.co.in/books?id=Ui82DwAAQBAJ&printsec=frontcover#v=onepage&q&f=false

https://www.enterprisetv.com.my/the-make-in-india-initiative-and-the-role-of-industry-4-0/

http://smartmanufacturingindia.com/

https://www.weforum.org/agenda/2017/10/kranti-nation-india-and-the-fourth-industrial-revolution/

https://blogs.timesofindia.indiatimes.com/Arrackistan/kranti-nation-why-india-should-not-miss-the-4th-industrial-revolution/

http://www.covacsis.com/benefits.php

IoT Show India - 2018


7th to 9th February, 2018
KTPO TRADE CENTER, WHITEFIELD INDUSTRIAL AREA BANGALORE

You can visit exhibitor from the following  categories and learn more about IoT and Industry 4.0

• Chipset manufacturers
• Network technologies and Wireless solutions
• Robotics and drones
• IoT Security
• IoT OEMs
• Semiconductors/ hardware
• Sensors
• Service Platform/ solution provider
• Software development provider
• Carrier service provider
• Standards/ Protocols/ Certification and testing providers

https://www.iotshow.in/iotshow/

Companies to Contact for Helping you in having IoT Initiatives in India

3Q Wire & Cable Co., Ltd
A G Enterprises
AADI International
Aimtron Electronics Pvt Ltd

Akrivia Automation Private Limited
Established in 2015, Akrivia is an IT, Automation and customized IoT solution provider. We work with verticals such as electrical equipment, smart factories, intelligent buildings, smart cities and Industrial Automation.
http://www.akrivia.in/


Anand Enterprises
Anritsu India Pvt Ltd
ANSYS Software Pvt Ltd
Applied RealTech Systems Pvt. Ltd.
AqTronics Technologies Pvt. Ltd
Array Networks
Ascent Circuits Pvt. Ltd.
Ashlyn Chemunnoor Instruments Pvt.Ltd.
AxesTrack Software Solutions Pvt. Ltd.
Axiom Energy Conversion P Ltd.
Bharat Head Hunters Pvt. Ltd.
Carl Zeiss India (Bangalore) Pvt. Ltd.
Changzhou Shunye Electronic Co. Ltd.
Circuit Systems India Ltd
Circuitects Electronics Solution Pvt. ltd.
Cirkit Electro Components P Ltd (D)
Clean Energy LOGAN INNOVATIONS Pvt Ltd
CloudThat Technologies Pvt. Ltd.
Component Masters
Crevavi Technologies Pvt Ltd
CSA India PVT LTD
CTC Technologies
cyrrup enterprises
CYTECH GLOBAL PTE LTD
DDS International
Delta India Electronics Pvt. Ltd.
Digi-Key Electronics
Dongguan Tongke Electronic Co., Ltd.
Drive Technologies (D)
E Control Devices
Elcina Electronic Industries Association of India
Electroconnect Systems
Electronic Relays India Pvt Ltd
Element14 India Pvt Ltd.
EmbDes Technologies Pvt. Ltd
EMST Marketing Pvt Ltd
Energy Saving India
ESSCI (Electronics Sector Skills Council of India)
FLIR Systems India Pvt. Ltd.
Forward Electronics Technologies
Fraunhofer
Fusion Power Systems (D)
G&g Universal Private Limited
G.T. Enterprises (D)
Gala Electronics (D)
Galore Systems
Geosensors
Good Will Instrument Co. Ltd
Greenconn Technology (Shenzhen) Co., Ltd
GT Magnetics Pvt. Ltd.
GuangDong Kexin Electronic Co.,Ltd
Guangdong Shunde Xu Hai Electronic Co., Ltd.
Hangzhou Chuanlian Electronics Co.,Ltd.
HARIHI OHM ELECTRONICS
HK Wentworth (India) Pvt Ltd
HyperThink Systems Pvt. Ltd.
Ignitarium Technology Solutions Pvt Ltd
INCHANGE SEMICONDUCTOR COMPANY LIMITED
Indus Technologies
Infiction Labs
infiswift
Innovative Resource LTD
Intel technology India pvt Ltd
IntuIT Things
Invendis Technologies India Pvt Ltd
iTECS Communication Pvt ltd.
iValue InfoSolutions Pvt Ltd.
Jharkhand Government
Jigsaw Academy
JSK Innovative Technology Pvt Ltd
Kadel Labs
Karandikar Laboratories
Karsan Technologies
KCG College of Technology
Keysight Technologies India Pvt. Ltd.
KIDOBOTIKZ
Kwality Photonics P Ltd
Liveon Technolabs
M.P State Electronics Corporation Ltd
Mahaveer Sales
Martin Electronic Devices & Instruments
MARVEL GEOSPATIAL SOLUTIONS Pvt. Ltd.
MAXIM INTEGRATED
Mectronics Marketing Services
Melux Control Gears Pvt Ltd
Messung Global Connect
Metro Electronics Products
MG Automation Technologies
MICRON
Microsoft Corporation (I) Pvt. Ltd.
Mobiloitte Technologies (I) Pvt. Ltd.
Mobiveil Technologies India Pvt Ltd
Module 143
Mouser Electronics (India) Private Limited
Moxa India Industrial Networking Pvt. Ltd.
National Small Industries Corporation Ltd. (NSIC)
NEE VEE Communication Technologies Pvt Ltd
NetSim (Tetcos)
Ningbo EHOME Electronic Co.,Ltd
NSIC Ambala
NSIC Noida
O/E/N India Limited
Peach Technovations Pvt Ltd
Phytec Embedded Pvt Ltd
PIE ELECTRONICS
Precision Tech Enterprises
Pulsar Enterprises Pvt Ltd
Qingdao Ainuo Intelligent Instrument Co Ltd.
Qualcomm India Pvt Ltd
Quasar Enterprises
Quectel Wireless Solutions Co Ltd
Rajguru Electronics
Redpine
Robotron solutions
ROHM Semiconductor India Pvt. Ltd.,
Royal Appliances
Royal Elegance Technologies Pvt Ltd
RS Components & Controls (I) Ltd
Schenker India Pvt. Ltd.
Scientech Technologies Pvt Ltd
SECO SRL
Sensegiz Technologies Private Limited
Sensinova
Sensor Embedded & Android RoBo (P) Ltd

Sensors India
http://sensors-india.com/about-us/

We are Automation components distributor and Systems Integrator all over India.



Our organization is aware of top automation applications with an experience of over 25 years in the field of Automation and System Integration.. We have successfully created a base of Automation technicians providing automation solutions all over India like Greater Noida, Uttar Pradesh, Manesar, Haryana, Chakan, Ranjangaon, Talegaon, Pune, Aurangabad, Nashik Maharashtra, Hospet, Karnataka, Sriperumbudur, Tirupur, Tamil Nadu.

www.Sensors-India.com is Stockist, Wholesaler, Importer, Trader, Distributor, Imported Products, Integrated Systems, Made in India Products representative and Systems Integrator for a wide range of sensing and control products plus Annual Maintenance Contract (AMC).

Handling automation projects like Systems Integration, Parking Guidance Systems, Security Alarm GSM Alert Systems, AMC projects, Installation and Commissioning, Manufacturing/Processing operations, CCTV and Access Control System, Cabling, Piping installations, PUMP control systems, Water level Management includes Leakage sensing and Centralised monitoring, Lighting automation and energy monitoring and audit SCADA systems



SETU INFOCOM
SFO Technologies P Ltd
SGS India Pvt Ltd
Shanghai Yongming Electronic Co.,Ltd.
Sharang Corporation
Shenzhen Baikal Electronic Materials Co. Ltd.
SHenzhen Jin Hao Yuan Technology.
SIGMA DESIGNS
SINCOM
Smarter Biz Technologies Pvt Ltd
Smile Electronics
Srashta Scientific Systems Pvt Ltd
Static Systems Pvt Ltd
Superior flux & Marketing
System Level Solutions (India) Pvt. Ltd.
Technosphere Labs Pvt. Ltd.
Telangana Government
Testo India Pvt. Ltd.
TEXIN (HONGKONG) ELECTRONICS CO.,LTD
TnC India
Toradex Systems (India) Private Limited
Toshniwal Sensing Devices Private Limited
TUV Rheinland (India) Private Limited
U H Led India Inc
Uchi Embedded Solutions
UM ELECTRONICS CO.,LTD.
UniQtronics Solutions Private Limited
Unisem electronics Pvt Ltd
V5 Semiconductors
Vanmat Technologies Pvt. Ltd
Vision Mechatronics Pvt Ltd
VMware Software India Pvt Limited
Wenzhou M & C Foreign Trade Co., Ltd.
Winday electronic (Dongguan)CO.,LTD
Wisys Technologies
Xiamen Prt Technology Co., Ltd.
XIANGTAI ELECTRONICS(SHENZHEN) CO.,LTD
YMD Electromac Pvt. Ltd.
Yontro Mechatronic Systech
Zeal Manufacturing Co.
Zoho Corporation Pvt Ltd

https://www.iotshow.in/list-of-exhibitors/  (date 16 December 2017)

Kerala State Productivity Council
http://www.kspconline.com/




List of Industry 4.0 Light Houses - WEF - McKinsey - Have You Benchmarked with the Best in Industry 4.0 Implementation?

Updated 21.7.2025,    17 January 2018

2017 -  16, 12, 11 December 2017, 7 December 2017

List of Industry 4.0 LightHouse Manufacturing Plants - WEF - McKinsey - Updated with January 2025 List

 https://initiatives.weforum.org/global-lighthouse-network/lighthouses


20.7.2025


Includes companies declared in Jan 2025

Sweden | Health

1.AstraZeneca - Södertälje

At our manufacturing site in Södertälje, Sweden, we’ve pioneered the use of more than 50 digital solutions and upskilled the digital capabilities of 3,000 employees. AI-based digital twins, machine learning, process simulation and robotics has boosted productivity by 56% and reduced development lead times for launching new products by 67%. Södertälje accounts for 40% of AstraZeneca’s global production volume and is one of the largest pharmaceutical manufacturing sites in the world.


AstraZeneca - Södertälje - Sweden - Industry 4.0 Lighthouse Plant - Industrial Engineering 4.0

https://nraoiekc.blogspot.com/2025/07/astrazeneca-sodertalje-sweden-industry.html



People's Republic of China | Health

2.AstraZeneca - Wuxi

Responding to domestic price cuts and increased demand volatility, AstraZeneca Wuxi deployed 34 4IR use cases, including AI and algorithms, to enhance manufacturing synchronization and efficiency. The site achieved a 55% increase in output, a 44% reduction in manufacturing lead time, an 80% reduction in non-perfect batches and a 54% improvement in labour productivity. 

AstraZeneca - Wuxi - China - Industry 4.0 Lighthouse Plant - Industrial Engineering 4.0

https://nraoiekc.blogspot.com/2025/07/astrazeneca-wuxi-china-industry-40.html


Türkiye | Other

3.Beko - Ankara

To meet the rising demand for high-quality dishwashers, Beko Dishwasher Plant underwent a 4IR transformation by integrating 35+ in-house solutions with its IoT platform, FLOW. This led to a 46% reduction in time-to-market, a 29.2% drop in field failure rates, and a 26.1% decrease in conversion costs. Additionally, over 1,000 employees were upskilled in 4IR technologies. 


Czech Republic | Automotive

4. Continental - Brandys nad Labem

Continental Automotive’s largest electronics plant in Brandys reimagined its processes to meet demand and shifting consumer preferences. By implementing over 30 digital solutions, the plant achieved a 35% efficiency boost, 15% better space utilization, and a 10% reduction in field incidents, all while enhancing employee satisfaction and setting new standards in high-tech production for its upcoming “Digital Mega Factory.” 


Viet Nam | Technology

5.Foxconn Industrial Internet - Bắc Giang

In its global expansion for supply chain resilience, Foxconn Industrial Internet Viet Nam overcame initial challenges such as heavy reliance on imported materials and the opportunity to develop local talent. By implementing 40+ 4IR use cases, including advanced planning and AI-driven automation, the site improved labour productivity by 190%, achieved 99.5% on-time delivery and cut manufacturing costs by 45%. 



To meet the consumer electronics industry’s commitment to carbon neutrality, Foxconn Industrial Internet utilized AI, Internet of Things (IoT) and other 4IR technologies to optimize recycling, track carbon footprints and innovate for sustainability. This led to a 42% reduction in Scope 3 emissions, a 24% cut in Scope 1 and 2 emissions, and increased recycled material content to 55%-75%.


People's Republic of China | Technology


6. Foxconn Industrial Internet - Shenzhen - Sustainability

Serving 160 countries, GE HealthCare Beijing tackled complex manufacturing and quality demands by implementing 45 digital solutions across 26 production lines. By deploying AI for defect detection and deep learning, the site reduced cycle times by 66%, slashed scrap by 66% and lowered customer complaints by 73%. 


People's Republic of China | Health

7.GE HealthCare - Beijing

To meet surging global demand and address delays in R&D, delivery and after-sales service, Haier Jiaozhou optimized its entire value chain with big data, advanced algorithms and generative AI. Supplying 90% of its products globally, the site achieved a 49% reduction in design cycle time, a 19% decrease in order delivery time, and a 28% drop in overseas failure rates. 


People's Republic of China | Other

8.Haier - Qingdao

To meet global market demands, Hisensehitachi’s Qingdao site implemented 40+ 4IR use cases, boosting product development speed by 37%, increasing labour productivity by 49% and reducing manufacturing costs by 35%. 

People's Republic of China | Other


9.Hisense Hitachi - Qingdao

Jubilant Ingrevia deployed 4IR technologies in global brownfield specialty chemical manufacturing and reskilling over 2000 employees. Through 30+ integrated use cases leveraging artificial and machine learning, IoT-based digital twin and predictive platforms, Jubilant Ingrevia’s site reduced the overall process variability by 60% and almost doubled production volume.     


India | Chemicals

10.Jubilant Ingrevia - Bharuch

To meet rising consumer demand for fresher, more nutritious dairy products, Mengniu Dairy’s Ningxia factory implemented over 30 advanced 4IR use cases, from intelligent decision-making to flexible automation. These initiatives, covering milk processing, packaging and testing, led to a 55% reduction in delivery lead time, a 60% decrease in quality defects and a 32% reduction in operational costs, significantly enhancing both efficiency and product quality. 


People's Republic of China | Food & Retail


11.,Mengniu Dairy - Ningxia

As a top global washing machine producer and sustainability leader, Midea Hefei implemented 24 4IR use cases to reduce emissions and optimize energy use. The site cut Scope 1 and 2 emissions by 36.4% and Scope 3 emissions by 26.0%. Solar power now provides 31% of energy, 40% of water is recycled, and waste was reduced by 22.1%.


People's Republic of China | Other


12.Midea - Hefei - Sustainability

Roche’s Basel Drug Substance site, a key player in the company’s goal to launch 20 new transformative medicines by 2030, produces a wide range of treatments, including chemically synthesized small molecules. To enhance efficiency, the site deployed digital and AI solutions that cut yield variability by 60%, halved technology transfer time, and reduced Scope 1 and 2 emissions by 31%, reinforcing its critical role in Roche’s global network. 


Switzerland | Health

13. Roche - Basel

Committed to zero accidents, Sanmen Nuclear Power deployed 40+ 4IR cases, including AI and robotics, to improve operational safety. These efforts maintained a 0% safety accident rate, increased capacity factor by 1.5%, and cut major overhaul periods by 46% while improving labour productivity by 18%. 


People's Republic of China | Energy

14. Sanmen Nuclear Power - Sanmen

Facing various challenges in producing and transporting large wind turbine blades, SANY deployed 29 4IR use cases, including AI and intelligent automation. This resulted in a 20% reduction in defects, a 33% boost in productivity and a 34% cut in delivery time, demonstrating digital technology's transformative impact on clean energy. 


People's Republic of China | Energy

15. Sany Renewable Energy - Shaoshan

To meet the growing demand for complex products, Schneider Electric’s Monterrey facility integrated digital technologies such as ML-driven forecasting and autonomous robots. These enhancements led to sustained annual growth, a 20% reduction in defects and a 30% reduction in water consumption. 



Mexico | Technology

16. Schneider Electric - Monterrey

Faced with a surge in global orders and a fourfold increase in SKUs from new energy markets, Schneider Electric Shanghai responded by boosting automation by 20% and integrating advanced technologies like ML-enabled prototyping, smart planning and GenAI-driven maintenance. These efforts led to a 63% improvement in speed-to-market, a 67% reduction in make-to-order lead time and an 82% increase in labour productivity.  


People's Republic of China | Technology

17. Schneider Electric - Shanghai

Siemens Erlangen developed its Green Lean Digital strategy to lead in mid-volume, high-mix manufacturing. With over 100 AI algorithms and extensive use of digital twins, powered by a flexible and modular IT architecture, the site improved labour productivity by 69%, cut time to market by 40% and reduced energy usage by 42%. 


Germany | Technology

18.

Siemens - Erlangen

To meet stringent safety and quality standards for high-speed railways, TZ implemented 40+ 4IR use cases enhancing quality and productivity through the use of AI and flexible automation. These advances led to a 33% reduction in defect rates, a 29% decrease in unit costs and a 33% increase in throughput. 


People's Republic of China | Transportation

19. Taiyuan Heavy Industry - Taiyuan

Confronted with rising volume and product portfolio complexity, the site implemented ML-powered demand forecasting, robotics and advanced scheduling algorithms. This led to a 28% throughput increase, a 70% boost in labour productivity, an 80% reduction in shortages, and a 31% improvement in on-time deliveries while cutting Scope 2 emissions by 34%. 


Singapore | Food & Retail

20. The Coca-Cola Company - Singapore

Industrial beer brewing is traditionally high-energy and carbon-intensive. Tsingtao Brewery leveraged advanced algorithms and IoT to deploy 25 use cases aimed at reducing energy and carbon intensity in beer production. The factory achieved a 25% reduction in unit energy consumption, a 57% decrease in Scope 1 and 2 emissions, and a 13% cut in Scope 3 emissions. 


People's Republic of China | Food & Retail

21. Tsingtao Brewery - Qingdao - Sustainability

To meet the demand for fully customized hydraulic supports and faster delivery, Zhengzhou Coal Mining implemented 48 4IR use cases, including IoT, machine learning and adaptive automation. These innovations transformed the site into a smart factory capable of high-flexibility, high-efficiency production, cutting lead times by 66%, boosting output per worker by 205% and reducing defect rates by 73%. 


People's Republic of China | Other

22. Zhengzhou Coal Mining Machinery Group - Zhengzhou

To stay ahead of the curve in an intensely competitive market, pharmaceutical supplier ACG Capsules prioritized manufacturing superior-quality products, improving responsiveness, increasing production yields and enhancing workforce productivity. To achieve this, ACG Capsules implemented 25+ Fourth Industrial Revolution use cases powered by the industrial internet of things (IIoT), machine learning (ML), deep learning (DL), digital twins, extended reality and generative AI. Effective adoption of these use cases has resulted in a reduction in critical defects of 98%, a shortening of production lead times of 39%, a drop in total losses of 51% and a 44% rise in workforce productivity.


India | Health

23. ACG - Pithampur

To stand out in the cosmetics industry, global beauty company AMOREPACIFIC used Fourth Industrial Revolution technologies such as AI and 3D printing to optimize manufacturing process design, accelerate new product introductions and improve flexibility. This reduced new product lead time by 50% and defects by 54%. It also enabled a new business model for manufactured-in-store customized cosmetics, with over 800,000 unique products offered.

ACG Capsules - Pithampur - India - Industry 4.0 Lighthouse Plant - Industrial Engineering 4.0

Republic of Korea | Food & Retail

24. AMOREPACIFIC - Osan

Amid demand fluctuations, strong growth of more than 50%, supply-chain disruptions and evolving product needs, Agilent Waldbronn introduced more than 25 Fourth Industrial Revolution-related roles and 20 associated use cases to address the challenges. Its high-volume and high-mix life-science manufacturing platform benefited from solutions from its Fourth Industrial Revolution toolkit, including AI applications and IIoT for rapid simulation and prediction. The facility has achieved a 35% increase in quality, a 44% boost in productivity and a 48% rise in output, ultimately enabling market share growth.


Germany | Health

25. Agilent - Waldbronn

To address soaring demand and increasing labour costs, and to meet its carbon neutrality commitment, CATL Liyang applied big data to simulate quality-testing, additive manufacturing to reduce changeover times, computer vision to achieve micron-level quality inspection, and deep learning to optimize process controls and energy management. This has resulted in a 320% output increase, a 33% reduction in manufacturing costs, a 47.4% reduction in normalized emissions and a 99% reduction in quality defects. Defect measurement has been upgraded from “per million” to “per billion”.



People's Republic of China | Technology

26. CATL - Liyang

To meet the fast-growing global demand for customized steel products while navigating volatile raw material and energy-supply issues, CITIC Pacific Special Steel’s Jiangyin Xingcheng plant deployed 40+ Fourth Industrial Revolution use cases such as advanced analytics-powered process simulation and optimization, as well as AI-enabled energy management. As a result, the plant has been able to increase customized orders by 35.3%, reduce its non-qualified product rate by 47.3% and cut its energy consumption by 10.5% per tonne of steel.


People's Republic of China

27. CITIC Pacific Special Steel - Jiangyin

To address the requirements of green and low-carbon development, higher quality expectations and cost pressures, Tianyang site, a cement factory under China Resources Building Materials Technology Holdings, has deployed 30+ Fourth Industrial Revolution use cases with advanced analytics, autonomous driving and IIoT to improve energy, labour and equipment efficiency and quality performance. As a result, the site has reduced carbon emissions by 24%, increased labour productivity by 105%, reduced unplanned downtime by 56% and improved quality consistency by 25%.


People's Republic of China | Materials

China Resources Building Materials Technology - Tianyang

Facing a growing e-commerce market and driven by retail promotions and a consumer consumption switch from offline to online orders, in addition to heavy seasonality impacts, DHL Supply Chain in Memphis, Tennessee established a strategic Fourth Industrial Revolution site, equipped with a control tower for centralized planning and execution oversight to manage and control E2E operations. This site has seamlessly integrated robots, analytics and a flexible staffing solution, resulting in a 50% overtime reduction, a 57% shipment cycle time reduction and a 290% increase in capacity, leading to a 28% compound annual growth rate (CAGR) since 2019. Consequently, the site has emerged as a primary training hub for the global adoption of new technologies.


USA | Supply Chain & Transportation

DHL Supply Chain - Memphis

To satisfy customers’ spiking demand for reliable and customized electric vehicles, GAC AION deployed 40+ Fourth Industrial Revolution use cases to provide customers with more than 100,000 configuration options and ensure timely and qualified deliveries. The fully automated production line supports mixed production of made-to-order and made-to-stock models, increasing production efficiency by 50%, reducing delivery times by 33%, raising first-pass yields by 8% and reducing manufacturing costs by 58%.


People's Republic of China | Automotive

GAC AION - Guangzhou

The rise of a new middle class and increased consumer consumption in China have driven upgrades from a split air conditioner (AC) system to a central AC system, which has higher requirements in terms of quality and energy efficiency. Haier’s Hefei air conditioner factory applied advanced algorithms, digital twins, knowledge graphs and other cutting-edge technologies in the research and development (R&D), production and testing of household central AC systems, resulting in a 33% increase in energy efficiency, a 58% drop in the defect rate, a 49% increase in labour productivity and a 22% drop in unit manufacturing costs.


People's Republic of China | Technology

Haier - Hefei

To stay ahead of the industry on cost and address common problems of unprofessional and delayed services in the home-appliance industry, Haier deployed 136 Fourth Industrial Revolution use cases for procurement cost savings and improvements in productivity and quality of services, using technologies including 5.5G, advanced algorithms and ready-to-use digital twins. This initiative has resulted in product cost being optimized by 32%, labour productivity increasing by 36% and the service complaint rate being cut by 85%.


People's Republic of China

Haier - Qingdao

Facing higher cost pressures as well as quality and green production expectations from the international market, Hengtong Alpha accelerated the large-scale application of advanced analytics, machine vision and AI technology across 27 advanced use cases covering the whole production value chain. As a result, unit manufacturing costs have decreased by 21%, the defect rate has reduced by 52% and unit power consumption has fallen by 33%.


People's Republic of China | Technology

Hengtong Alpha Optic-Electric - Suzhou

The rapid development of AI foundation models has brought an explosion in demand for computing power and higher efficiency, quality and iteration speed requirements for AI servers. By deploying AI use cases across order forecasting, warehouse and production scheduling, product design, quality and assembly-testing domains, Foxconn Industrial Internet’s Taiwan factory has achieved a 73% increase in production efficiency, a 97% reduction in product defects, a 21% reduction in lead time and a 39% decrease in unit manufacturing costs.


Taiwan, China

Ingrasys - Taoyuan

To improve agility and responsiveness, raise quality standards and enhance competitiveness, Johnson & Johnson Xi’an replaced its manual facility with a Fourth Industrial Revolution-enabled new factory in 2019. This facility includes digital twins for technology transfer and material handling, intelligent automation of continued process verification (CPV) and batch execution processes. This has shortened the product transfer time by 64% during site relocation and has enabled a 60% decrease in non-conformance, while improving productivity by 40%, operating costs by 24% and GHG emissions by 26%.


People's Republic of China

Johnson & Johnson - Xi’an

To address growing energy demands while reducing its environmental impact, Johnson & Johnson Xi’an constructed a state-of-the-art manufacturing site. To meet and surpass its LEED Gold® certification, it implemented a series of Fourth Industrial Revolution technologies, including AI algorithms for process control, IIoT-based intelligent cleaning and digital twins. This has resulted in a 47% reduction in material waste, a 26% decrease in GHG emissions and a 23% reduction in energy consumption.


People's Republic of China | Health

Johnson & Johnson - Xi’an - Sustainability

The climate crisis has caused significant water supply concerns, as heatwaves and heavy rains create more volatile and turbid supplies. To address this, K-water launched a next-generation AI water treatment plant to reduce production costs, improve responsiveness and reduce human error. It is being scaled across 40+ other sites and has helped K-water to reduce its chemical usage by 19%, improve labour efficiency by 42% and reduce power consumption by 10%.


Republic of Korea | Energy & utilities

K-Water - Hwaseong

Kenvue Thailand deployed Fourth Industrial Revolution technologies for more sustainable resource management across site operations. This includes an end-to-end water-to-ecosystem performance management system, a digital twin to optimize chiller system energy consumption, and a dynamic scheduling and container loading optimization solution that leverages data analytics and robotic process automation. From 2018 to 2023, the site reduced water utility intake by 35%, energy-related consumption (scope 1&2) by 34%, correlating GHG emissions by 29%, normalized for production volumes, and container utilization improved by 35% leading to more efficient transportation.


Thailand | Health

Kenvue - Bangkok - Sustainability

To keep up with the growth in e-commerce, faster speed to market and the fluctuating demands that come from increased cost competitiveness, Kenvue Shanghai deployed more than 25 Fourth Industrial Revolution use cases, including big data analytics on social media, digital twins, additive manufacturing and ML across its E2E value chain. This resulted in a 50% reduction in new product introduction lead times, 1.3-times improvement in forecast accuracy and 99.8% on-time-in-full deliveries within 48 hours. This enabled the e-commerce business to double from 30% to 60% of overall business.


People's Republic of China

Kenvue - Shanghai

Driven by the desire to reduce costs, improve quality and shorten the lead time on solar modules, the Jiaxing site implemented more than 30 Fourth Industrial Revolution use cases, using AI and advanced analytics to boost manufacturing operations. These efforts have had significant impacts, with the site achieving a 28% reduction in unit manufacturing costs, a 43% cut in yield loss and an 84% decrease in production lead time within one year, while also lowering energy consumption by 20%.


People's Republic of China | Energy Technologies

LONGi Solar - Jiaxing

Embracing sustainability ambition from both Mondelēz Global and Beijing City while meeting Mondelēz’s growth ambitions and addressing operating cost pressures due to year-on-year (YoY) 6% labour cost inflation, Mondelēz Beijing implemented 38 Fourth Industrial Revolution use cases, such as an AI-powered dough-making lights-off workshop and gas consumption optimization by machine learning. As a result, Mondelēz Beijing has achieved a 28% net revenue growth and 53% increase in labour productivity while reducing GHG emissions by 24% and food waste by 29%.


People's Republic of China | Food & Retail

Mondelēz - Beijing

To maximize productivity, streamline costs and redeploy the existing workforce to help in-source operations and maintenance (O&M) capabilities, renewable energy company ReNew built on and scaled the digital and analytics backbone from its first Lighthouse site, including new proprietary AI models and the rapid scaling of Fourth Industrial Revolution use cases across 70 wind farms, 10 original equipment manufacturers (OEMs) and 22 unique wind turbine models. Ratlam, the company’s benchmark site for this scale transformation, has sustained improvements of 1.7% higher energy yield, 17% reductions in operating expenses and 40% less waste. This led to a 20% increase in profitability.


India | Energy & utilities, Energy Technologies

ReNew - Ratlam

Schneider Electric’s Hyderabad site aims to be zero carbon on Scope 1 and 2 by 2030, based on a strong Fourth Industrial Revolution core. This includes an E2E closed-loop system with CO2 tracking for strategic suppliers. The system is powered by real-time data generation and cloud analytics for all facility assets that interlink with shop-floor operations using an IIoT-enabled equalizer and AI-based predictive monitoring. This has led to a 59% reduction in energy consumption, 61% decrease in CO2 emissions, 57% cut in water consumption and a 64% reduction in normalized waste generation.


India | Technology

Schneider Electric - Hyderabad - Sustainability


People's Republic of China | Technology

Siemens - Chengdu - Sustainability

To become a zero-carbon pioneer in the context of 92% growth in production output in the past three years, Siemens’ Chengdu factory deployed a holistic digital energy management system, implemented predictive maintenance throughout the manufacturing process, introduced AI-based automation to identify and handle up to 16 types of production waste and applied eco-design features to improve circularity and dematerialization. This has reduced unit product energy consumption by 24% and production waste by 48%.



India | Food & agriculture, Food & Retail

Unilever - Sonepat


To improve agility and cater to diverse product segments, reduce costs in an inflationary environment and improve sustainability, Unilever Sonepat implemented 30+ Fourth Industrial Revolution use cases in its E2E supply chain. Top use cases included boiler and spray dryer process twins, as well as customer data-informed no-touch production planning and inventory optimization. This improved service by 18%, forecast accuracy by 53%, conversion cost by 40% and Scope 1 carbon footprint by 88%. The use of biofuels enabled by a boiler process twin also supports livelihoods for local farmers.



Increased energy prices and inflation have affected energy costs and the labour-intensive ceramic tile production process. To sustain competitiveness while responding to higher demands and maintaining a complex portfolio of 4,200+ SKUs, VitrA Karo’s Bozüyük site deployed its digital transformation roadmap, focusing on intelligent process and production controls. This has resulted in a 19% increase in OEE, a 56% decrease in scrap, a 14% decrease in energy consumption and a 43% increase in the use of recycled content.


Türkiye | Materials

VitrA Karo - Bozüyük

To improve productivity and reduce lead time in an increasingly complex manufacturing environment of over 100 process steps, ASE Kaohsiung’s bumping factory deployed AI applications in their processes from inspection to dispatch. As a result, the site was able to increase output by 67% while reducing order lead time by 39%.


Taiwan, China | Technology

ASE - Kaohsiung

With the ambition to simplify high-tech manufacturing in low-volume, high-complexity instruments to meet rising customer demand, Agilent Singapore deployed IIoT-powered digital twin, AI & Robotic Automation solutions to achieve sustainable growth, overcoming bottlenecks from specialized manpower and transforming the workforce into scalable 4IR-ready generalists. This resulted in improved productivity by 60%, improved cycle time by 30% and quality cost by 20%.


Singapore | Technology

Agilent Technologies- Singapore

To secure future investments and resources for production of new products such as hydrogen components, Bosch Powertrain Solutions Plant in Bursa needed to further strengthen its cost leadership. By deploying AI use cases such as close loop process control for hydro-erosion, and upskilling 100% of the workforce, they reduced unit manufacturing cost by 9% and improved OEE by 9%.


Türkiye | Automotive

Bosch Automotive - Bursa

To catch up significant business growth, and higher quality and sustainability expectation, CATL builds up a large greenfield in Yibin city since 2021. The plant further deployed in depth AI, IoT and flexible automation on top of CATL Ningde headquarters lighthouse digital initiatives, have achieved 17% increased line speed, 14% reduced yield loss, and zero carbon emission


People's Republic of China | Automotive

CATL - YiBin

To capture greater market volumes, CEAT needed to incorporate greener materials and meet stringent in-process specifications. CEAT deployed Fourth Industrial Revolution use cases like advanced analytics to optimize cycle times and digitalization of operator’s touchpoints. As a result, the site reduced cycle times by 20%, process scrap by 46%, and energy consumption by 15% . Overall, this resulted in approximately a 2.5 times increase in export and OEM sales in two years.


India | Automotive

CEAT - Halol


India | Health

Cipla Indore

Facing rising challenges of steep price-cuts & growing input costs to its endeavor of pioneering access to high-quality affordable drugs globally, Cipla deployed “Digital-Automation-Analytics (DAA)” to unlock E2E cost, productivity & quality leadership – across a network of 22 India sites in parallel, over just 2 years.Indore-OSD led this “DAA” journey with 30+ use-cases, spanning IIoT, Digital, Advanced Analytics, NLP, RPA, Robotics, etc. – to improve Total Cost (26%↓), Productivity (23%↑), Quality (300%↑) & GHG emission (28%↓).



Being one of the best performing plants, facing a dynamic labor market and a growth of its production complexity by 35%, Danone Opole engaged its whole workforce across functions and levels into a digital transformation journey to deploy connected shopfloor, artificial intelligence and automation at scale. As a result, it improved costs by 19%, efficiency by 12% while improving quality and reducing GHG emissions by close to 50%. It became a transformation leader for the other 39 Danone plants in Europe & top employer in the local market


Poland | Food & Retail

Danone - Opole

Facing business challenges from severe price erosion and rapidly evolving quality expectations, the 25-year-old site embarked on large scale digitalization to sustain and grow in the generic pharma market. The site deployed 40+ 4IR use cases by operating in garage mode and leveraging IIoT & democratized platform for advanced analytics. As a result, it improved manufacturing cost by 43% while proactively enhancing quality and reducing energy by 41%

India | Health

Dr Reddy's - Hyderabad



Faced with the challenge of competitiveness while not losing sight of sustainability, employees health & safety commitments, Flex implemented 4IR initiatives along the end-to-end value chain, from circular economy to digital performance management and EHS to supply chain control tower, resulting into a 50% labor cost improvement, a 81% material loss reduction, increased plant agility while improving sustainability and increasing customer satisfaction (+18%) as well employee engagement & well-being.

Brazil | Technology

Flex - Sorocaba




With an aim of reducing energy use, water consumption, and GHG emissions, Flex’s facility in Sorocaba implemented smart factory utilities management and optimized electronic waste in its supply chain and manufacturing operations using IoT sensors to enable circular economy solutions. Flex Sorocaba reduced scope 1 & 2 GHG emissions by 41%, for scope 3 managed to avoid 44 kilotonnes of CO2 eq (carbon dioxide equivalent), and reduced water consumption by more than 30%.

Brazil | Technology

Flex - Sorocaba - Sustainability



In response to customers’ needs for rapid releases of new smartphone products and strict quality standards, Foxconn Industrial Internet enabled agile product introduction, quick capacity ramp-up, and smart mass production by deploying 37 different Fourth Industrial Revolution use cases at scale. This accelerated new product introduction by 29%, led to 50% faster ramp-ups, reduced quality non-conformance by 56% and reduced manufacturing cost by 30%. 

People's Republic of China | Technology

Foxconn - Yuzhan

Facing challenges in product diversity, time-to-delivery and quality brought by the operational shift from within-group single supply to external broader supply, Haier factory in Hefei leveraged the self-developed IIoT platform to accelerate at-scale deployment of AI, machine vision and advanced analytics in 18 Fourth Industrial Revolution use cases across supply network, R&D, manufacturing and customer service, shortening order lead time by 50% and lowering on-site defect rate by 33%.


People's Republic of China | Other

Haier - Hefei

Facing the demand of customers for customized design, fast delivery and high quality, Haier refrigerator factory leverages big data, digital twin and advanced visual inspection technology to accelerate R&D, upgrade manufacturing process and logistics scheduling mode . The order response lead time has been shortened by 35%, production efficiency has been increased by 35% and quality performance has been improved by 36%.


People's Republic of China | Other

Haier - Qingdao / Refrigerators

To build resilience in the face of rising energy costs and also reduce carbon emissions, Haier applied big data and AI to establish a power load model of equipment, as well as a production scheduler optimizing for energy consumption, reducing energy consumption by 35% and GHG emissions by 36%.


People's Republic of China | Technology

Haier - Tianjin - Sustainability

To respond to external challenges, such as 30% over-capacity and higher costs due to market volatility, the company has deployed 28 different Fourth Industrial Revolution use cases, such as machine-learning-enabled process optimization and AI-enabled safety management. As a result, labour productivity increased by 33%, conversion cost fell by 20%, energy consumption dropped 31%, and recordable safety incidents reached zero.


People's Republic of China | Chemicals

Huayi New Material - Shanghai

With 250% of annual growth rate, short technology transition pace of 18 months, and workforce challenges in Shanghai city, Western Digital Shanghai as a high-volume & high-mix semiconductor backend factory overcame these challenges by implementing diverse 4IR use cases such as automated product design system, machine learning based virtual wafer test, in house designed lights-out automation and intelligent planning system and have achieved 40% time to market reduction, 221% productivity improvement, 75% manufacturing lead time reduction and 62% product cost reduction


People's Republic of China | Technology

JCET | SanDisk - Shanghai

Facing a volatile demand in a highly fragmented and complex network of distributors and vendors, Kenvue India deployed Fourth Industrial Revolution solutions such as demand sensing, smart logistics, robotics and 3D printing. As a result, they reduced OTIF losses by 66%, accelerated new product introduction by 33% and improved cost per piece by 34%.


India | Health

Kenvue - Mulund

Following the establishment of a plant in the US two years ago to be closer to customers, LG encountered various human resource risks and a lack of production know-how. By adopting Fourth Industrial Revolution technologies, such as deep learning, automation and digitalization, LG was able to strengthen its strategic production base in the US, increasing sales by 68% and growing net profit by 703%.


USA | Other

LG Electronics - Clarksville

Facing fierce competition, significant demand fluctuation and growing product customization, Lenovo Hefei, the world’s largest single PC factory, deployed over 30 Fourth Industrial Revolution flexible automation and advanced analytics use cases, improving labour productivity by 45%, reducing supplier quality issue by 55%, while managing small-size yet numerous customer orders (80% of them being less than five units).


People's Republic of China

Lenovo - Hefei

With cost leadership being critical to compete as a SME in a highly competitive commodity market, MantaMESH developed a Fourth Industrial Revolution an online manufacturing business model that connects customers to an automated fulfilment system. All customer interactions are automatically processed online with real-time connection to smart manufacturing plants. The result is a 261% increase in customer activity and 73% growth in production volumes while reducing energy consumption/kg produced by 32%.


Germany | Other

MantaMESH - Frottstadt

In order to meet the demands of consumers for high quality and short lead-times of products, Midea Shunde factory has actively deployed AI, digital twin and other Industry 4.0 technologies in the end-to-end value chain, realizing 24% lower unit production cost, 41% shorter lead-times,30% shorter R&D lead time and 51% less defect rate.


People's Republic of China | Other

Midea - Shunde

Driven by the aspiration to 1) outgrow the market through superior volume delivery, 2) strengthen cost leadership, 3) build further resilience and diversity in a volatile environment, Mondelez Sricity deployed end-to-end digitalization, predictive analytics, artificial intelligence and advanced automation to increase labour productivity by 150%, reduce manufacturing costs by 38% and sustain 50% female workforce making it a benchmark manufacturing site for Mondelez globally.


India | Food & Retail

Mondelez - Sricity

To quadruple retail channels in China and double store coverage to 4 million retail outlets, and address the impact of double-digit inflation related to labour and logistics costs, the company invested in multiple Fourth Industrial Revolution solutions. This allowed it to transform a linear supply chain into an integrated supply ecosystem, with improved OTIF by 18%, reduced lead times of 32% and securing growth in market share from 23.4% to 28.3%.

People's Republic of China | Food & Retail


Mondelez - Suzhou

To address a 2-3% year-on-year business growth with limited footprint expansion potential, the site implemented Fourth Industrial Revolution use cases such as data flow integration, digital twin, machine learning across end-to-end value chain (from R&D to customers). As a a result, the innovation lead time accelerated by 72%, shutdown days for trial were reduced by 21%, and order horizon from customers improved 14-fold.


Japan | Chemicals

Procter & Gamble - Takasaki

To address the challenges from industryspecific market cycle fluctuations, product complexity (263 SKUs) and production of heavy duty products, Sany Changsha leveraged flexible automation, AI and IIoT at scale to build a digital and flexible heavy equipment manufacturing system that excels at cost, efficiency and quality. As a result, the site expanded capacity by 123%, improved labor productivity by 98%, and reduced unit manufacturing cost by 29%.


People's Republic of China | Technology

Sany Group Co. Ltd - Changsha

To reach its net zero target already by 2026, four years ahead of the corporate pledge, Siemens adopted digital process analysis and measurements, reducing its scope 1 & 2 GHG emissions by 69% normalized to volumes. In addition, to decarbonize its entire supply chain (scope 3), the plant acts as an incubator to develop Fourth Industrial Revolution products such as a digital product pass and a blockchain-based software to exchange CO2 data with suppliers.


Germany | Technology

Siemens - Amberg - Sustainability

Ballina site, the company’s largest concentrate manufacturing facility, delivers over 3,500 SKUs to 68 countries. To enable growth, build resilience and address increasing portfolio complexity, the site implemented digital, and analytics use cases. As a result, it improved cost by 16% while expanding its SKU portfolio by 30%, and led Fourth Industrial Revolution scaling across the network of 17 sites.This greenfield factory is a product of the Arçelik use caseThis greenfield factory is a product of the Arçelik use case


Ireland | Food & agriculture

The Coca-Cola Company - Ballina

Facing a shrinking market, the Unilever site in Indaiatuba, the largest powder detergent factory in the world, top in productivity and second in cost globally but Unilever’s biggest contributor to GHG emissions, implemented use cases such as digital twin and AI to improve cost leadership and agility to the market while minimizing environmental footprint. As a result, Indaiatuba reduced innovation lead time by 33%, production costs per tonne by 23% and nearly eliminated GHG emissions.


Brazil | Chemicals

Unilever - Indaiatuba

Having navigated the COVID-19 uncertainties in the catering industry in the past three years, Unilever accelerated market penetration in low tier cities by deploying over 30 Fourth Industrial Revolution use cases, such as tailor-made 24/7 digital selling, optimal end-to-end advanced planning and AI-enabled quality control. As a result, the number of served customers doubled, order-to-delivery lead time shrank by 40% and customer complaints fell by 62%.


People's Republic of China | Chemicals

Unilever - Tianjin

The company is under pressure to deliver 60% of orders in less than 72 hours and needed to accelerate end to end processes without compromising quality excellence. Wistron transformed its entire value chain via 33 in-house-built use cases. Despite supply shortages, UPPH was enhanced by 32%, defect rates were reduced by 55% and delivery times shortened to 48 hours, ultimately reducing manufacturing unit costs by 22%.


People's Republic of China | Technology

WIstron - Zhongshan

Bang Pa-in is producing cost sensitive consumer hard disk drives (HDDs). Facing material cost increase caused by supply chain uncertainty and with the goal to limit capital deployment due to market shifting to solid-state drives (SSD), Bang Pa-in implemented diverse Fourth Industrial Revolution use cases to reduce factory cost by 33% while reducing energy consumption/peta byte (PB) by 40%.


Thailand | Technology

Western Digital - Bang Pa-In

To build resilience in the face of volcanic eruptions, typhoons, long lead time for materials, volatile demand and tightened product specifications, the Laguna site deployed over 25 use cases at scale, such as event anomaly detection by advanced analytics and end-to-end production variation compensation by machine learning. As a result, the site was able to reduce unplanned shutdowns by 82% and production cost/unit by 54%.


Philippines | Technology

Western Digital - Laguna

Arçelik Ulmi greenfield factory, powered by 100% green electricity, deployed sustainability use cases such as digital-twin for energy management and closed loop water management system integrated to advanced water treatment plant. In an environment suffering from water stress, it resulted in a reduction of water consumption by 25% as well as a reduction of energy consumption by 17% and GHG emission by 22%, per unit manufactured.


Romania | Technology

Arçelik - Ulmi - Sustainability

In the context of growing demand, Western Digital doubled the site’s petabyte (PB) output between 2017 and 2021 while reducing its environmental footprint per PB to achieve corporate ambitions. This result was enabled by multiple 4IR use cases such as machine learning to dynamically optimize the performance of the water recycling plant and should consumption prediction to detect abnormal energy consumption based on real-time operating data. These measures reduced water consumption by 62% and energy consumption by 51% per PB.


People's Republic of China | Technology

JCET | SanDisk - Shanghai - Sustainability

With the growing demand for memory and storage solutions, there is a need for Micron Singapore to expand and increase Gigabyte production while reducing environmental footprint. From 2018 to 2021, Micron Singapore increased output by ~270% and simultaneously reduced resources used per Gigabyte produced by ~45%. This is enabled by sustainable technology development with optimization of materials consumption through environmental footprint tracking.


Singapore

Micron - Singapore - Sustainability

In a bid to achieve corporate sustainability goals of 70% reduction in Scope 1 & 2 emissions by 2025 over baseline of 2015 and reducing water consumption while tackling rapidly increasing volumes, Unilever Dapada deployed 14 use cases such as ML powered energy optimization through integrated energy management system, digital twin to accelerate eco-friendly formulations. Dapada reduced its scope 1+2 emissions by 54%, its scope 3 emissions by 43% and its water consumption by 36%, and as a result is ahead of its goal to achieve the emission reduction targets.


India | Technology

Unilever - Dapada - Sustainability

To pursue premium product market share with high quality expectation, BOE Fuzhou has widely adopted artificial intelligence and  advanced analytics at fully automated production system to achieve best-in class quality excellence, equipment efficiency and energy  sustainability with new product yield ramp-up period shorten by 43%, cost per unit decreased by 34% and output increase by 30% without  major capex investment.


People's Republic of China | Technology

BOE - Fuzhou

Facing 20% labor wage increase, YoY 10%+ price reduction request from customer and high fluctuation in customer orders, Bosch  Changsha implemented 45 4IR use cases with automation and AI to increase competitiveness, maintained the market position with 100%  NEV (New Energy Vehicle) customer portfolio penetration and reached carbon neutral.


People's Republic of China | Automotive

Bosch Automotive - Changsha

Facing booming market of water heater and increasing requirement of high-end product and service, Haier Zhengzhou, as a new built  plant, leverages big data, 5G edge computing and UWB solutions to build close connection with supplier, plant and customer, which speed  up order response lead-time by 25%, increase production efficiency by 31% and improve quality performance by 26% since its start in 2020 to 2021.


People's Republic of China | Other

Haier - Zhengzhou

Janssen Latina has been deploying 4IR solutions that deliver faster, competitive and agile launches of new products and quality release,  led non conformances reduction by 30% and product release lead time optimization by 84% while reducing energy costs by 10% and  logistics labor costs by 72%


Italy | Health

Johnson & Johnson Janssen - Latina

Facing agility, profitability, and cost to serve challenges, J&J Bangkok site adopted 4IR technology such as collaborative supply chain  control tower, computational fluid dynamics, AI energy optimization, advanced data analytics on logistics. The value chain delivers 47%  revenue growth with 25% inventory reduction, and it reduced 43% end-to-end supply chain lead time, 42% productivity improvement, 20%  carbon footprint optimization.


Thailand | Health

Kenvue - Bangkok

Facing growth of its product portfolio complexity by 70%, rising quality expectations from customers and labor shortages, LGE re-designed an old factory in Changwon into a digital lighthouse plant leveraging flexible automation, digital performance management, and artificial intelligence to improve productivity by 17%, field quality by 70% while reducing inventory by 25% and energy consumption by 30%.


Republic of Korea | Other

LG Electronics - Changwon

Target domestic high-end product segments and oversea market expansion, Midea Hefei Laundry widely deployed artificial intelligence and IOT technologies across end-to-end value chains to form a faster response and higher efficiency supply chain, resulted in lead time reduction by 56%, customer report defect rate reduction by 36%, labor productivity improvement by 45%.


People's Republic of China | Other

Midea - Hefei

Due to consumer expectations with higher product complexity, Midea Jingzhou, as a 30-year-old factory, adopted flexible automation, IOT and artificial intelligence at scale to transform the manufacturing system, increased labor productivity by 52%, reduced production lead time by 25% eliminated 20% utility consumption per unit reduction.


People's Republic of China | Other

Midea - Hubei

In order to meet 45% increased eCommerce demands, P&G Guangzhou leveraged AI, flexible automation, and digital twins to integrate  multi-systems across value chain to serve omni channels consumers. This increased the responsiveness of their supply chain with 30%  reduction of inventory, 15% reduction of logistics cost and 99.9% on time delivery within 3 years.


People's Republic of China | Chemicals

Procter & Gamble - Guangzhou

With the ambition to accelerate its digital transformation, Sanofi embarked 2 years ago in a digital & analytics transformation of its  procurement operations and built 4IR products, such as should cost modeling, smart tender analytics, supplier performance analytics. They  delivered 10 % savings while achieving 13% org efficiencies and transformed the way they work.



France | Health

Sanofi - Paris

Facing changing customer demands and a 54% business growth, Schneider Electric implemented 4IR technologies such as IIOT  Infrastructure, predictive/prescriptive analytics and AI deep learning. This has resulted in reduction of field failure by 48% and lead time by  67%, while manufacturing efficiency improved by 9%.


India | Technology

Schneider Electric - Hyderabad

Global Procurement is the main contributor to TEVA's ambitious Gross Margin Improvement Program and contributes to the Free Cash  Flow target, delivering 3x historical COGS savings by end of 2024. To achieve this Global Procurement implemented 4IR technologies  within 1.5 years, increased labor efficiency by 30%, upskilled its workforce and optimized cross-functional processes to break down silos;  and is leading the way for 4IR at Teva


Netherlands | Health

Teva - Amsterdam

Driven by the need to accelerate the pace of innovation and speed of response to consumer demand while augmenting cost  competitiveness in an increasingly challenging market, and acting on sustainability goals, Unilever Dapada deployed digital, automation  and AI-ML across its end-to-end value chain to shorten product development lead time by 50%, reduce manufacturing cost by 39% and  energy by 31%.


India | Chemicals

Unilever - Dapada

Janssen Sciences Ireland Unlimited Company has been long supporting regional initiatives for sustainability improvement and now enabling the corporate 2030 pledge of carbon neutrality. Through Fourth Industrial Revolution-enabled real-time release, adaptive process control and other sustainability efforts, the site has optimized its processes and reduced carbon emissions per kg of product by 56%, while the site footprint has expanded by 34% to meet growing business needs.


Ireland | Technology

Johnson & Johnson Janssen - Cork - Sustainability

Sandisk achieved a reduction in energy by 41%, water consumption by 45% and material waste by 16% through a vertically integrated smart factory. Fourth Industrial Revolution technologies, such as internet of things (IoT) sensors, digital twin modelling, analytics powered plant management system and lights-out automation with machine learning, increased their sustainability impacts, while the site grew 43% (Compound Annual Growth Rate) in the last four years. This concerted effort enabled the Malaysia Green Building Index (GBI) certification for the site.


Malaysia | Technology

Sandisk - Penang - Sustainability

Schneider Electric Le Vaudreuil has implemented industrial internet of things (IIoT) sensors connected to digital platforms, unlocking data to optimize energy management by 25%, reduce material waste by 17% and minimize CO2 emissions by 25%, with the objective to be net-zero carbon by 2025, without offset and ahead of the global Schneider Electric pledge. The smart factory is equipped with a zero-reject water recycling station connected to cloud analytics and monitored by an artificial intelligence (AI) model to predict process drifts, leading globally to 64% in water reduction.


France | Technology

Schneider Electric - Le Vaudreuil - Sustainability

Facing challenges such as labor shortage, highly customized products requirements, and extreme climate conditions, in the very competitive industry of display panels, AUO fab 3 invested in customized automation and developed a digital analytics and AI platform to improve productivity by 32% and advanced product yield by 60%, while reducing water consumption by 23% and carbon emissions by 20%


Taiwan, China | Other

AUO - Taichung

Faced with rising customer demand for product diversity refrigerators and capacity constraints in a 15 year old factory, Arçelik’s Factory 6 leveraged mature in-house resources to deploy over 30 advanced use cases in 2 years to unlock flexible production through automation and data driven digital systems, and achieve a low-cost transformation with 1.19 year ROI while increasing unit capacity 43%)


Türkiye | Other

Arçelik - Eskisehir



Facing increasing manufacturing process complexity and demand for extreme high product quality, CATL Ningde leveraged AI, advanced analytics and edge/cloud computing to achieve, in 3 years, a defect rate per billion count at the speed of 1.7s per cell, while improving labor productivity by 75% and reduce energy consumption by 10%

People's Republic of China | Automotive

CATL - Ningde



Faced with automotive OEMs rising expectations on smaller batch size and higher quality, CITIC Dicastal deployed flexible automation, digitalized lean, and AI to build a digital manufacturing system to improve flexibility at batch size one production and reduce manufacturing cost by 33%

People's Republic of China | Automotive

CITIC Dicastal - Qinhuangdao



Facing the risk of closure due to its lack of competitiveness compared to its sister plant in a low cost country, De’Longhi Treviso plant invested in digital and analytics to become more agile (reducing MOQ by 92% and leadtime by 82%), more productive (improving labor productivity by 33%), and achieve high standard quality (improving field quality by 33% and obtaining Food and Beverage industry certification)

Italy | Other

De'Longhi - Treviso



Faced with strong competition from low-cost regions, Flex in Althofen deployed 4IR technologies to meet higher regulatory and quality standards and improve operational efficiency and agility, unlocking access to a new high-margin and longer lifecycle medical business, ultimately resulting in 50% revenue growth and 93% profit growth.

Austria | Technology

Flex - Althofen



To overcome customer service challenges of increasing customization and shorten lead-time, Foxconn Wuhan leveraged advanced analytics and flexible automation at scale to re-design its manufacturing system and upskill its labor force, leading to a 86% increase in labor productivity, and reducing machine efficiency loss by 40%, quality loss by 38% and order lead-time by 29%.

People's Republic of China | Technology

Foxconn - Wuhan



Facing lack of skillful workers, unstable quality performance and large fluctuations in demand, Foxconn Zhengzhou leveraged flexible automation to significantly improve labor productivity by 102%, and utilized digital and AI technologies to reduce quality defects by 38% and improve OEE by 27%

People's Republic of China | Technology

Foxconn - Zhengzhou



To meet increased customers’ expectations for diversified products, faster delivery and higher quality of service, Haier new washingmachinefactory in Tianjin integrated 5G, IIoT, automation and advanced analytics to enable faster product design, more efficient andflexible operations and data driven energy optimization

People's Republic of China | Other

Haier - Tianjin



Henkel’s Toluca in Mexico, a 1970’s factory characterized by low-mix, high-volume production, set out on a 4IR transformation journey centered on people, skills and data transparency and availability to reduce processing costs by 15% energy consumption by 14% and enhance plant OEE up to 90% 

Mexico | Chemicals

Henkel - Toluca



In the context of fierce competition in the panel industry, and faced with increasing quality requirement from customers and severe decline in gross profit, Innolux fab 8 invested in advanced automation, IoT technology and advanced analytics to improve process capability by 40%, yield loss by 33% and in return unlock niche product production

Taiwan, China | Technology

Innolux - Kaohsiung



Faced with high complexity, cost pressure and the overall inefficiency of operating in the joint reconstruction market, J&J DePuy Synthes deployed “Advanced Case Management” – a 4IR program leveraging open API architecture, AI & Machine learning algorithms and a suite of digital tools – across the entire hips and knees value chain in North America to streamline operations, transform the customer experience and strengthen its leading position in the market

USA | Health

Johnson & Johnson MedTec - Bridgewater



Focused on delivering a faster and more personalized customer experience to strengthen its leadership in the market, J&J Vision Care deployed end-to-end 4IR technologies like AI and adaptive process control to offset the increasing complexity of the value chain while driving a 28% reduction in cost per deliveries and 53% carbon footprint reduction

United Kingdom | Health

Johnson & Johnson MedTec - London



To respond to an increasing demand and mix of product, LS Electric has transformed one of its plant in Cheongju Korea with advanced automation, machine learning-powered inspection and advanced process control, enabling mass customization and lowering production cost by 20%

Republic of Korea | Other

LS Electric - Cheongju



Protolabs is a digital native company which embarked on a transformation journey taking it from a prototype provider to a production supplier by strengthening its digital thread connecting customers and production, and as a result outperforming competitors by reducing production lead-times down to as low as 1 day and generating a gross margin 20 points of percentage better

USA | Technology

Protolabs - Plymouth



With a 2.5X high-mix volume growth in last three years, increasing quality requirements and the need to contain costs, Sandisk Malaysia, in the journey toward lights-out manufacturing, has transformed its factory in Penang deploying advanced automation, logistics digital twin optimization, intelligent planning and advanced process control, delivering 32% factory cost improvement and halving order inventory and lead time

Malaysia | Technology

Sandisk - Penang



To compete with growing demand and rising complexities from the multi-category and small-batch heavy machinery market, SANY Beijing extensively deployed advanced automation, AI and IoT technologies to boost labor productivity and upskill their capabilities. As a result, the factory achieved a 100% expansion of its output and 76.7% reduction in the production lead time within 2 years

People's Republic of China | Technology

Sany Group Co. Ltd - Beijing



Motivated by the need to access new levels of efficiency and sustainability, the 70 years old world’s biggest oil processing and crude stabilization plant has harnessed the power of data, advanced analytics and automation to transform its manufacturing processes, achieving 21% increase in product quality, 14.5% reduction in energy use and reducing GHG emissions by 3.8%

Saudi Arabia | Oil & Gas

Saudi Aramco - Abqaiq



Facing rising customer demand for more product segmentation, which increased complexity for the high mix low volume factory, Wuxi factory rebuilt their E2E value chain and introduced flexible automation, predictive analytics, digital twin to enable hybrid production of standard/configured/customized products under 1-piece order size with optimized full cost, and 8% decrease in energy savings annually

People's Republic of China | Technology

Schneider Electric - Wuxi



To seize the booming business in e-commerce and big-box channel requires superior E2E flexibility and premium quality performance, Unilever Taicang ice cream factory leveraged 4IR technologies to integrate consumers and suppliers, achieving 80% sales growth

People's Republic of China | Chemicals

Unilever - Taicang



With rapidly growing demand, stringent quality requirements and cost pressure for hard disk drive (HDD), Western Digital Thailand leveraged connectivity and advanced analytics technologies to transform a capacity-saturated manufacturing site to a digital operation system with real-time visibility in suppliers, production, logistics and customers and data-based insights and predictions, ultimately increasing factory output by 123%, avoiding 30% in procurement costs and production and reducing product return rate by 43%

Thailand | Technology

Western Digital - Prachinburi



Ericsson’s greenfield 5G factory is powered 100% by renewable electricity from on-site solar and green-e® certified renewable electricity from the utility grid. The smart factory integrates sustainable technologies such as thermal ice storage tanks with the industrial internet of things (IIoT) stack to proactively monitor energy usage and is designed to utilize 24% less energy and 75% less indoor water usage, avoiding 97% operational carbon emissions* than comparable buildings. This year it became Ericsson’s first factory globally to achieve LEED Gold® certification.*

USA | Technology

Ericsson - Lewisville - Sustainability



In an effort to improve visibility of factory consumption to drive better decision making, Henkel deployed utility meters on machines integrated in a digital twin that connects and benchmarks 30 factories and prescribes real-time sustainability actions that has led to 38% less energy (kWh/ton) used and has reduced water consumption 28% (m3/ton) and waste 20% (kg/ton) across factory baselines set in 2010.

Germany | Technology

Henkel - Düsseldorf - Sustainability



In order to capture greater energy consumption granularity, when and where it happens in the plant, the Lexington smart factory leveraged IoT connectivity with power meters and predictive analytics to optimize energy cost. This has led to a 26% energy reduction (GWh), 30% net CO2 reduction, 20% water use reduction, and a Superior Energy Performance 50001TM certification by the US Department of Energy.*Calculation based on EPA Greenhouse Gas Equivalencies Calculator

USA | Technology

Schneider Electric - Lexington - Sustainability



As the role model of operation excellence manufacturing plant among group, Bosch Suzhou pioneered digital transformation at production, logistics, order/inventory management domains and achieved extra value added impact

People's Republic of China | Automotive

Bosch Automotive - Suzhou



In order to service local customers for 5G radios sustainably, Ericsson built a greenfield 5G enabled, digital native factory in USA in a record time; leveraging agile ways of working and a robust IIoT architecture and data foundation, the team was able to deploy 25 use cases at scale in less than 24 months

USA | Other

Ericsson - Lewisville




Confronted with fast growing market demand, scarce skillful labor force, and increasing product complexity, Chengdu extensively leveraged cutting-edge artificial intelligence & IoT technologies to enable worry-free production and drive operational improvements

People's Republic of China | Technology

Foxconn - Chengdu



Increased product complexity and labor shortages have led to quality and cost challenges at the Singapore Printhead manufacturing factory. At the same time, the country’s manufacturing focus has been moving toward higher-value work. Given these factors, it was imperative to transform our factory from being manual, labor-intensive, and reactive to a highly digitized, automated, and AI-driven one

Singapore | Technology

HP Inc. - Singapore




 Henkel is building on its digital backbone infrastructure to scale-up 4IR use cases and interconnect production systems across its Laundry and Home Care business. In highly competitive environment, the Montornès site is leveraging 4IR to boost profitability and augment consumer benefits

Spain | Chemicals

Henkel - Montornès




Operating with same fast-changing customer needs cost challenges of FMCG but subject to similar regulations of pharmaceutical environment, Helsingborg plant is leveraging 4IR technologies to increase its supply chain agility, improve gross profit and set new standards on environmental sustainability

Sweden | Health

Kenvue - Helsingborg




To pursue growing e-commerce, small business channel & overseas market share, Midea adopted digital procurement, flexible automation, digital quality, smart logistics and digital sales breakthroughs to reduce product cost, shorten order lead time and improve end user response agility

People's Republic of China | Other

Midea - Guangdong




57-year-old plant with a demonstrated ability to transform its operations to remain competitive, Amiens embraced 4IR technologies end-to-end to cope with consistent volume increase while driving process optimization and cost reduction 

France | Chemicals

Procter & Gamble - Amiens




Despite a growing business in the sector, Lima Plant was experiencing lack of growth and reduction in savings and service level. From 2017 the site shifted strategy deploying 4th industrial revolution technologies at scale resulting in a more competitive, flexible and responsive production across the entire value chain

USA | Chemicals

Procter & Gamble - Lima, Ohio





Facing exponential asset growth and rising competitiveness from new entrants, ReNew Power, India’s largest renewables company, invested in 4th industrial revolution technologies to increase output & improve operational efficiency of their wind & solar assets, without incurring any additional capex, in turn increasing profitability of the company by 29%

India | Energy & utilities

ReNew Power - Karnataka





A greenfield refinery started up in a geographical area where many others have discontinued operations, designed to fully integrate on a 100k+ data point IIoT stack, advanced automation and predictive analytics solutions, that through process optimization have delivered $35m of profit uplift in the first 9 months of serviceA

Türkiye | Oil & Gas

STAR Rafineri - Izmir





To reach stringent annual productivity goals the site had to go beyond classical operational excellence initiatives and implement a new Lean Digital Factory approach, deploying 10x scalable solutions of advanced automation, adaptive and predictive process control and workflow digitalization, ultimately achieving 140% of factory output with same resources 

Germany | Technology

Siemens - Amberg





Facing operational KPI stagnation and impending loss of captive raw material advantage, Tata Steel Jamshedpur 110+ year old plant with deep rooted cultural & tech legacies deployed more than 200 4IR use cases across procurement and manufacturing to drive a step improvement in operational KPIs. These use cases are being scaled across their India production networkF

India | Mining & Metals

Tata Steel - Jamshedpur





Facing upgraded consumer needs for personalized, differentiated and diverse beer, Tsingtao Brewery has rethought how to utilize smart digital technologies across value chains to empower 110+ year history traditional company to meet consumer needs

People's Republic of China | Food & Retail

Tsingtao Brewery - Shandong





In response to high-mix and low-volume business challenges, Wistron leveraged artificial intelligence, IoT and flexible automation technologies to improve labor, asset and energy productivity, not only in production and logistics, but also via supplier management

People's Republic of China | Technology

WIstron - Jiangsu




To realize the core mission “make SME easy to do business anywhere”, Alibaba Xunxi implemented end to end 4IR solutions to enable a new apparel C2M (Customization to Manufacturing) business model for SMEs, resulted in significant shorter order lead time and higher productivity in a dramatically customized and smaller order batch size

People's Republic of China | Retail

Alibaba Group - Hangzhou





With volatile commodity prices and market conditions, DCP have been integrating the remote control of field operations with their planning, logistics and commercial systems to optimize in real time product margins

USA | Oil & Gas

DCP Midstream - Denver




Maubeuge 50 year old plant is another example of Groupe Renault ability to deploy 4IR technologies at scale across its production network to protect the plant competitiveness (best-in-class in the Alliance), specifically improving quality variability, increasing its flexibility to deal with the many LCV configurations, and improving efficiency of indirect labor

France | Automotive

Groupe Renault - Maubeuge




With a fast changing and raising demand of biologics products, Janssen has digitally connected the internal and external nodes of a complex, hyper regulated supply chain developing advanced process controls for both the logistics and manufacturing processes, to deliver faster to patients while reducing costs

Ireland | Health

Johnson & Johnson Janssen - Cork




Micron innovated to maintain its cost competitive edge, reduce its Capex needs, ramp-up faster new products and improve quality by implementing multiple 4IR use cases across automation, machine learning and advanced analytics with an impact of 100mln USD

Taiwan, China | Technology

Micron - Taichung





In face of fierce industry competition and e-commerce rising complexity & speed, Midea Guangzhou leaped forward the intelligent technologies based transformation from pure automation to intelligence, from pure digital factory to E2E connectivity with suppliers, distributors centers, retail stores and massive customers, the company achieved 14% cost per unit, 56% order lead time reduction, and management efficiency improvement in past of 2 years 

People's Republic of China | Other

Midea - Guangzhou





Facing the challenge to reduce its product cost by 50% and absorb a volume growth of 160% with a product mix increasing by a factor 5, Novo Nordisk smartly invested in digitalization, automation and advanced analytics, building a robust company-wide IIOT operating system which is now being deployed across all other sites

Denmark | Health

Novo Nordisk - Hillerod





In an industry that is rich in data but often fragmented data, the Yanbu team is unique in being the first site in Saudi Aramco to have developed a fully integrated digital performance management system across 25+ systems that has driven yield improvements of ~14% and at the same time reducing energy consumption by 10% through the use of advanced data analytics

Saudi Arabia | Oil & Gas

Saudi Aramco - Khurais





To maintain a business and technological edge, Schneider Electric’s more than 60-year-old facility has implemented Fourth Industrial Revolution technologies to achieve a complete end-to-end transformation of its operations from supplier to customer. This has improved customer satisfaction by 20%, demand forecast accuracy by 20%, and reduced energy costs by 26%.

USA | Technology

Schneider Electric - Lexington





Driven by e-commerce booming in CPMG industry, Unilever Hefei site deployed flexible automation, digital & AI use cases at delivery, warehousing, production & E2E performance management to increase flexibility & agility for demanding customers

People's Republic of China, People's Republic of China | Chemicals

Unilever - Hefei





sAGCO is an example of how to leverage 4IR technologies to manufacture high complexity low volume products. Implementing digital solutions, they found the recipe to manufacture 9 different product families on one single assembly line with a batch size of one, leading to significant gains in flexibility and productivityto manufacture high complexity low volume products. Implementing digitalsolutions, they found the recipe to manufacture 9 different product families on one single assembly line with a batch size of one, leading tosignificant gains in flexibility and productivity

Germany | Other

AGCO - Marktoberdorf




This greenfield factory is a product of the Arçelik use caseThis greenfield factory is a product of the Arçelik use caseThis greefield factors is a product of the Arçelik use case laboratory where it was designed twice as fast as previous generation factories. Since coming into existence, automazion of low-value tasks has improved operational costs by 11%.laboratory where it was designed twice as fast as previousgeneration factories. Since coming into existence, automation oflow-value tasks has improved operational costs by 11%.laboratory where it was designed twice as fast as previousgeneration factories. Since coming into existence, automation oflow-value tasks has improved operational costs by 11%.

Romania | Other

Arçelik - Ulmi





As a 40-year-old steel factory, Baosteel Shanghai was an early bird of digitization (early adaptor MES), and extensively implemented 4IR use cases (especially Artificial Intelligence & Advanced Analytics) to meet growing customer expectations on product quality and customization and to regenerate its industrial competitiveness in the digital era

People's Republic of China | Mining & Metals

Baosteel - Shanghai





TThis greenfield factory is a product of the Arçelik use casegeneration factories. Since coming into existence, automation ofThis site leverages digital manufacturing and advanced automation to move beyond lean, increasing its output by 6% and employee engagement by 45% without any additional capital expenditure investmentlow-value tasks has improved operational costs by 11%.laboratory where it was designed twice as fast as previousgeneration factories. Since coming into existence, automation oflow-value tasks has improved operational costs by 11%.

Türkiye | Automotive

Ford Otosan - Kocaeli





To build world class product quality and customer satisfaction, Foton Cummins unleashes IoT and artificial intelligence potentials across end 2 end product lifecycle including design, production, quality assurance and after serviceTT

People's Republic of China | Automotive

Foton Cummins - Beijing





From better to best, GE Hino plant leaps forward next-step operation excellence by integrating digitalization with tradition lean best practice and to make Lean more effectiveness and efficiency

Japan | Health

GE Healthcare - Hino





Preparing for the future made of sharp volume increase and cost reduction requirements, GSK set up a digital factory team who implemented a wide range of 4IR technologies (e.g., AI, VR, advanced analytics, smart automation) to tackle successfully the business challenges

United Kingdom | Health

GSK - Ware





Early joiner of the digital revolution, the 60-year old plant Cléon in France managed to increase his productivity by 45% and reducing warranty costs by 20% adopting smart automation solutions and digitalization leveraging the local ecosystem (partnerships with start-ups and local universities).

France | Automotive

Groupe Renault - Cleon





Renault Curitiba is an example of how approaching 4IR technologies focusing on employee’s accountability and E2E connectivity, engaging workforce and developing an ecosystem across players, can support growth and lead to successful results without requiring major capital deployment

Brazil | Automotive

Groupe Renault - Curitiba





Haier Shenyang refrigerator represents the landmark of user-centric mass customization, demonstrates an integrated value chain with digital and intelligent innovation across sales, product design, supply chain and manufacturing, and empowers a scalable c2B delivery model of reduced cost, quicker time to market, more agility and higher quality

People's Republic of China | Other

Haier - Shenyang





Driven by consumer expectations in sustainability and quality, and necessity to improve cost competitiveness in a high labor cost market, Henkel has developed a unique scalable data platform connecting in real time 30+ sites and 10+ distribution centers

Germany | Chemicals

Henkel - Düsseldorf




Deployment of a digital thread across the value chain that optimizes the overall operations, synchronizes the market dynamics and ultimately enabling the mass customization model

Japan | Technology

Hitachi Ltd - Hitachi





From the brink of operations closure to a leading smart manufacturing site Infineon has leveraged data, advanced analytics and automation to create a significant impact across the site but also integrating with its supply chain network

Singapore | Technology

Infineon - Singapore





Example of end-to-end connected value chain from suppliers to consumers in vision care to achieve 24% sales growth and 33% cost reduction. In addition, introduced flexible modular platform to introduce new products in record time. 

USA | Health

Johnson & Johnson MedTec - Jacksonville





Example of lighthouse network extension: standardizing and expanding best practice of the existing lighthouse to roll out and establish a network of lighthouse sites, to drive a broad-based impact and unleash 4IR potential at scale within the organization

People's Republic of China | Health

Johnson & Johnson MedTec - Suzhou




Brazil | Oil & Gas

MODEC - Rio de Janeiro

First example in Oil & Gas (O&G), a traditionally slow to innovate industry with deep seeded orthodoxies, of multiple, scaled 4IR use-cases connecting in real-time to 9 offshore vessels. As result MODEC turned into a distant market leader in offshore Operations & Maintenance and doubled their market share, transforming the way new clients are won and digital talent is cultivated in industry





Singapore | Technology

Micron - Singapore

Operating in a highly mature industry sector Micron felt the pressure to innovate to maintain its competitive edge; implementing multiple 4IR use cases across automation and advanced analytics with an impact of 100mln USD, that have now scaled across the Micron network globally






New product introduction (NPI) factory has to deliver:▪Increased number of new product ramp ups (1/month, +50%)▪Faster transfer of new products and technologies to manufacturing network worldwide (3 months → <1 month)▪Doubled production volumes with the same resources

Finland | Technology

Nokia Electronics - Oulu





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Republic of Korea

POSCO - Pohang



Türkiye | Chemicals

Petkim - Izmir


Petkim, a pioneer global petrochemical industry, has become an industry and geography leader not only in business terms but in digital and analytics space, that focused on throughput and quality improvement, total digitization of asset management, and a major change story to transform a state-owned asset into digital power house





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Indonesia | Mining & Metals

Petrosea - Tabang





Young yet passionate greenfield team fully embraced 4IR technologies to tackle business challenges from its booming e-commerce via E2E, step-growing value chain competence

People's Republic of China | Chemicals

Procter & Gamble - Taicang




People's Republic of China | Automotive

SAIC Maxus - Nanjing

▪Slow growth at automotive industry in China recent years, SAIC makes C2B (Customer to Business) as strategy in order to increase product competitiveness▪To realize C2B, E2E connected value chain carried out: online order, intelligent engineering, digital twin production, digital supply chain & digital quality managementDi







▪Schneider Batam is the 1st Lighthouse Certified by Indo- nesia Ministry Of Industry as a part of Industry 4.0 Vision▪Batam is one of the 6 Pilot Smart Factory in Schneider global network out of 260 sites with own Digital transform- ation team with internal talents from operational background▪Executed the transformation using Ecostruxure (own IOT platform) and developed multiple solutions locally and 3 solutions transferred to other sites.

Indonesia | Technology

Schneider Electric - Batam





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India | Mining & Metals

Tata Steel - Kalinganagar





Driven by improving cost competitiveness, a local entrepreneurial team developed 4IR use cases inhouse with limited investment in only 16 months, and deployed them at scale to achieve 25%+ cost reduction

United Arab Emirates | Chemicals

Unilever - Dubai




Aspiring to become the provider of global best-in-class products, Weichai ignited digital transformation across its E2E value chain from production design, procurement, production, supply chain to aftersales service  

People's Republic of China | Other

WEICHAI - Weifang




Company founded with the idea to bring 4IR into an industry dominated by decades of old methodologies. To create value that would otherwise be impossible to achieve

USA | Health

Zymergen - Emeryville




From operational excellence and lean manufacturing to the leading role in implementing Industry 4.0 in the BMW production system  From operational excellence andlean manufacturing to the leadingrole in implementing Industry 4.0in the BMW production system

Germany | Automotive

BMW - Regensburg




Factory faced increased demand and relatively variable OEE with little visibility into performance root causes. Implemented focused transformation for specific use cases with dedicated support

Italy | Health

Bayer - Garbagnate




Plant successfully conquered demand blast challenge (+200% from 2015 to 2017 due to market growth and government emission policy) substantially supported by ~30 4IR use cases

People's Republic of China | Automotive

Bosch Automotive - Wuxi




Consistently drive quality improvement and cost reduction to meet customer expectations, resulting in world class quality performance

People's Republic of China | Other

Danfoss - Tianjin




The whole organization is transformation from traditional EMS company to industrial internet company, pilot from own plants then roll out quickly

People's Republic of China | Technology

Foxconn - Shenzen




Unique mass customization production site, digital thread across value chains, best smart manufacturing plant within Haier group, Industry 4.0 landmark in China with more than 40K visitorsU

People's Republic of China | Other

Haier - Qingdao / Air conditioners




Site is of strategic importance from Global Orthopedics perspective, has a Global Innovation Centre focused on Material Science & Technology Innovation

Ireland | Health

Johnson & Johnson MedTec - Cork





Market demand shifting towards smaller lot sizes and higher level of customizationDigital transformation touches own operations as well as product portfolio15 internal top priority digital transformation projects in progress

Germany | Other

Phoenix Contact - Blomberg





Transformation driven by changing demand in product mix and desire to remain operational for the next 140 years

Czech Republic | Chemicals

Procter & Gamble - Rakona

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Italy | Other

ROLD - Cerro Maggiore




Sandvik Coromant in Gimo produces large volumes of cutting tools at very competitive cost. This is only possible through continuous improvement and smart automation.

Sweden | Other

Sandvik Coromant - Gimo




Clear change story, top leaders act as role models, clear performance mgmt. & incentives

Saudi Arabia | Oil & Gas

Saudi Aramco - Uthmaniya




50 year old plant seeking to improve competitiveness in order t remain competitive for the next 50. Did not want to go the way of Motoroal or Nokia. Clearly enunciated five priorities: plant operational every day, optimize efficiency, focus on people, and use smart technology to enable it

France | Technology

Schneider Electric - Le Vaudreuil




The site is leveraging I4.0 applications (e.g. digital quality system) to have achieved world class quality performance. It is digital factory landmark in China with more than 10K visitors in 2017

People's Republic of China | Technology

Siemens - Chengdu


End-to-end at scale transformation with clear Digital roadmap Strong focus on providing AA as new tool to the organisation to improve EBITDA. Transformation supported by enabling programs like capability building program (225 people trained and 130 people certified), data& IT infra and ecosystem development programs

Netherlands | Mining & Metals

Tata Steel - Ijmuiden

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USA | Supply Chain & Transportation


UPS / Sybridge - Chicago



To maintain a competitive edge as one of the leading suppliers of fuels while minimizing its carbon footprint, this 1970s Aramco refinery underwent a five-year strategic Fourth Industrial Revolution transformation, implementing and integrating use cases at scale including an AI-based clean fuels optimizer, an AI-powered operation decision system and a digital twin dynamic model. As a result, on-spec fuel production has reached 99%, greenhouse gas (GHG) emissions have been reduced by 23% and operational availability has improved by 17%.

Saudi Arabia | Oil & Gas

Aramco - Yanbu








Global Lighthouse Network

Part of  Centre for Advanced Manufacturing and Supply Chains




Published: 25 September 2020

The World Economic Forum’s Global Lighthouse Network comprises 54 leading companies that have succeeded in the adoption of Fourth Industrial Revolution technology at scale, at individual sites and/or end-to-end across the value chain.

https://www.weforum.org/publications/global-lighthouse-network-four-durable-shifts-for-a-great-reset-in-manufacturing/







Ud. 21.7.2025

Pub. 20.7.2025