Effectiveness Science - Productivity Science of Smart Manufacturing - Smart Systems in General

 

Smart Factory Rewired #3 : One Plant Scaled Successfully. Others Didn’t. (Why ??)

Gulshan Kumar (Saini)

Senior Director: Samsung Electronics | Global Manufacturing Leader | 30+ Yrs Exp | Smart Factory | Operational Excellence | Multi-site Operations | Project Management (PMP) | Talks about Industry 4.0

May 4, 2026

https://www.linkedin.com/pulse/smart-factory-rewired-3-one-plant-scaled-successfully-kumar-saini--jyijc/

Software for Manufacturing and Industrial Engineering - Process Management - Operations Management - Performance Management

 Software Solutions for

Manufacturing Excellence

ORCA LEAN helps manufacturers improve Key Performance Metrics ( KPI ) through Unique Digital Solutions and AI.

https://www.orcalean.com/

Smart Manufacturing - Application Areas - Industry 4.0 - Use Cases

23.6.2025

13.9.2022

Smart Engineering for a Better World - Essays for 55th India Engineers’ Day

Smart Manufacturing - Application Areas

• Automatic changes to products on prod. line
• Modelling and simulation
• Digital direction setting
• Rapid design prototyping through 3D printing
• Digital twins – factory network
• 3D scanning for quality
• Advanced analytics platform
• Mixed reality for maintenance work
• Energy management through IoT
• Lean digitization
• Smart supply chain- Automated Guided Vehicles
• Predictive maintenance through IoT
• 3D Simulation for Production Line
• Digital Assistant System for Operators
• Implementation of Automation
• Integration of ERP²/MES³/PLM

Connected Factories and The Future of Manufacturing: Challenges, Top Use Cases, and Benefits

https://www.birlasoft.com/articles/connected-factories-top-use-cases-and-benefits

Five uses cases for manufacturing a truly connected industry

Thomas Noren on Fri, 01/15/2021

https://www.smartindustry.com/blog/smart-industry-connect/five-uses-cases-for-manufacturing-a-truly-connected-industry/

Top 5 Big Data Use Cases in Smart Manufacturing

 VIVEK KUMAR,  May 8, 2020 

https://industrywired.com/top-5-big-data-use-cases-in-smart-manufacturing/

https://blog.bosch-si.com/industry40/industry-4-0-10-use-cases-for-software-in-connected-manufacturing/

2019

Industry 4.0: 7 Real-World Examples of Digital Manufacturing in Action 

https://amfg.ai/2019/03/28/industry-4-0-7-real-world-examples-of-digital-manufacturing-in-action/

The Top 20 Industrial IoT Applications

Brian Buntz

20th September 2017

https://www.iotworldtoday.com/2017/09/20/top-20-industrial-iot-applications/

1. ABB: Smart robotics

Power and robotics firm ABB is one of the most visible to embrace the concept of predictive maintenance, using connected sensors to monitor its robots’ maintenance needs — across five continents — and trigger repair before parts break. Also related to IoT is the company’s collaborative robotics. Its YuMi model, which was designed to collaborate alongside humans, can accept input via Ethernet and industrial protocols like Profibus and DeviceNet.

 2. Airbus: Factory of the Future

Airbus has launched a digital manufacturing initiative known as Factory of the Future to streamline operations and bolster production capacity. The company has integrated sensors to tools and machines on the shop floor and given workers wearable technology — including industrial smart glasses — designed to reduce errors and bolster safety in the workplace. In one procedure, known as cabin-seat marking, the wearables enabled a 500% improvement in productivity while nearly eliminating errors.

3. Amazon: Reinventing warehousing

Amazon is “testing the limits of automation and human-machine collaboration.” While the company’s ambitions to use drones for delivery has won considerable media attention, the firm’s fulfillment warehouses make use of armies of Wi-Fi-connected Kiva robots. The basic idea behind the Kiva technology, which Amazon acquired for $775 million in 2012, is that it makes more sense to have robots locate shelves of products and bring them to workers rather than have employees go to the shelves to hunt for products. In 2014, the robots helped the company cut its operating costs by 20%, according to Dave Clark, a senior vice president at Amazon.

4. Boeing: Using IoT to drive manufacturing efficiency

Boeing and its Tapestry Solutions subsidiary have aggressively deployed IoT technology to drive efficiency throughout factories and supply chains. The company is also steadily increasing the volumes of connected sensors embedded into its planes.

5. Bosch: Track and trace innovator

In 2015, Bosch launched what would be the Industrial Internet Consortium’s first test bed. The primary inspiration behind the so-called Track and Trace program is that workers would spend a sizable amount of their time hunting down tools. So the company added sensors to its tools to track them, starting with a cordless nutrunner. As the resolution of the tracking becomes more precise, Bosch plans to use the system to guide assembly operations.

6. Caterpillar: An IIoT pioneer

It is using IoT and augmented reality (AR) applications to give machine operators an at-a-glance view of everything from fuel levels to when air filters need replacing. If an old filter expires, the company can send basic instructions for how to replace it via an AR app. The company’s marine asset intelligence division is also an innovator. Last year, Forbes ran an article explaining how the company used sensor-driven analytics to save a bundle of money on boats and shipping vessels.

7. Fanuc: Helping to minimize downtime in factories

Robotics maker Fanuc is serious about reducing downtime in industrial facilities. Using sensors within its robotics in tandem with cloud-based analytics, the company can predict when failure of a component such as a robotic system or process equipment is imminent. While predictive maintenance is a familiar concept, Fanuc has embraced it more aggressively than most. Last year, GM awarded Fanuc’s Zero Downtime (ZDT) system its Supplier of the Year Innovation Award.

8. Gehring: A pioneer in connected manufacturing

The company enables its customers to see live data on how Gehring’s machines work before they place an order. It does so by using digital technology, beaming real-time information from a new machine to a customer to ensure that it meets the customer’s requirements for precision and efficiency. Gehring uses the same cloud-based real-time tracking to reduce downtime and optimize its own manufacturing productivity through monitoring its connected manufacturing systems, visualizing and analyzing data from its machine tools in the cloud.

9. Hitachi: An integrated IIoT approach

It offers an IoT platform known as Lumada, Hitachi also makes a plethora of products leveraging connected technology, including trains, which the company is beginning to sell as a service. Hitachi has also developed an IoT-enhanced production model that it claims has slashed production lead times by half within its Omika Works division, which manufactures infrastructure for electricity, traffic, steel manufacturing and other industries.

10. John Deere: Self-driving tractors and more

 John Deere is  deploying Internet of Things technology —  with self-driving tractors.  The company also happens to be a pioneer in GPS technology. The most-advanced systems it uses in tractors are accurate to 2 centimeters. In addition, the company has deployed telematics technology for predictive maintenance applications.

11. Kaeser Kompressoren: Air as a service

 The company offers “digital twins” for its products and supports predictive maintenance. One of its best-known Industrie 4.0 efforts relates to its business model innovation as selling “air as a service,” 

12. Komatsu: Innovation in mining and heavy equipment

Komatsu has linked all of its robots at its central production facilities to the internet, enabling managers to keep an eye on international operations in real time. Its massive self-driving trucks can be spotted in Rio Tinto’s Mine of the Future in Australia. Komatsu recently acquired U.S. mining equipment maker Joy Global, which had developed connected longwall shearers for coal mining that can wirelessly send 7,000 data points per second to the company’s data center.

13. KUKA: Connected robotics

German robotics specialist KUKA has an IoT strategy that extends to whole factories. For Jeep,  it helped the company build an IoT-enabled factory with hundreds of robots linked to a private cloud. The plant can produce more than 800 vehicles each day.

14. Maersk: Intelligent logistics

The Danish shipping company has embraced the Internet of Things to keep track of its assets and optimize fuel consumption and the routes of its ships. The technology has proven to be especially useful for refrigerated containers, whose contents could spoil in the absence of tight temperature control.  Maersk has enlisted sensors and data analytics applications to inform how it stores empty containers and locates them. The company is using blockchain technology to optimize its supply chain operations further.

15. Magna Steyr: Smart automotive manufacturing

The company,  can precisely track assets ranging from tools to vehicle parts, automatically ordering a replenishment when necessary. Magna is also testing the use of “smart packaging,” enhancing it with Bluetooth, to help keep track of components in its warehouses. Autonomous vehicles within its facilities help ferry components through plants during assembly, optimizing routes dynamically. It uses wearable technology to help guide its employees in the production of bespoke vehicles. 

16. North Star BlueScope Steel: Keeping workers safe

Steelmaker North Star BlueScope Steel has deployed wearables in helmets and wristbands in a proof-of-concept project to help managers track employee safety and spot hazardous scenarios before they lead to injuries. The wearables also track health metrics such as body temperature, pulse and activity levels, enabling supervisors to give taxed workers a break when necessary. In addition, the steel producer is using connected sensors to monitor extremes in environmental temperature as well as the presence of radiation and toxic gases.

17. Real-Time Innovations: Microgrid innovation

RTI and a handful of partners have created innovative technology that divides the power grid into an array of microgrids that can each be managed independently. 

18. Rio Tinto: Mine of the Future

Driverless trucks and trains haul ore away from the mining sites while an autonomous drill technology enables a remote worker to oversee multiple drills from a single console. Driverless ships may be in its future as well. The company has a control center complex in Perth that connects to its mines as well as its rail and port operations, where engineers, analysts, programmers and technicians remotely guide mining operations.

19. Shell: Smart oil field innovator

Shell reports that its smart oil fields can obtain 10% more oil and 5% more gas than traditional fields.The company links its high-tech wells with fiber-optic cable that allows remote employees to monitor operations remotely. The company recently launched a digital twin initiative for an offshore rig in the southern North Sea.

20. Stanley Black & Decker: Connected technology for construction and beyond

The company’s smart factory program in Reynosa, Mexico, led to a 24% increase in production of routers used for woodworking. It uses radio signals to help monitor the location of tools, monitor construction progress and comply with OSHA rules. The company’s DeWalt division is also launching an initiative known as Construction Internet of Things, which will use an IoT platform to monitor workers and equipment across the job site. Already, DeWalt has debuted a connected battery service that can not only monitor battery levels but shut down tools if a thief attempts to remove them from a defined area.

Smart Manufacturing - Application Areas

https://nraoiekc.blogspot.com/2019/11/smart-manufacturing-application-areas.html

Smart Inspection

https://nraoiekc.blogspot.com/2022/05/smart-inspection.html

Smart Material Handling and Transport

https://nraoiekc.blogspot.com/2022/05/smart-material-handling-and-transport.html

Smart Warehouse - Industry 4.0 Warehouse - Warehouse 4.0

https://nraoiekc.blogspot.com/2018/06/smart-warehouse-industry-40-warehouse.html

Smart Production Planning - Smart Process Chart Improvement

https://nraoiekc.blogspot.com/2022/05/smart-production-planning-smart-process.html

Updated on  16.7.2025,  23.6.2025, 13.9.2022,  5.5.2022, 29.3.2022

Pub. 11.11 .2019

Smart Factory and Smart Manufacturing - Productivity Improvement

Productivity Improvement Achieved by Best Practice Companies.

Read the information available on each plant to become aware of the effective use made by these companies of Industry 4.0 Technologies in various processes and systems.

Apple Inc. - Industrial Engineering Activities - Industrial Engineering 4.0

https://nraoiekc.blogspot.com/2024/04/apple-inc-industrial-engineering.html

Bosch Automotive - Bursa - Industrial Engineering 4.0 - WEF - McKinsey Light House Plant

https://nraoiekc.blogspot.com/2024/04/bosch-automotive-bursa-industrial.html

CEAT - Halol, India Plant - Industrial Engineering 4.0 - WEF - McKinsey Light House Plant.

https://nraoiekc.blogspot.com/2024/04/ceat-halol-india-plant-industrial.html

4. Dr Reddy's - Hyderabad Plant - Industrial Engineering 4.0 - WEF - McKinsey Light House Plant

https://nraoiekc.blogspot.com/2024/04/dr-reddys-hyderabad-plant-industrial.html

5. .Ericsson - Lewisville Plant - Industrial Engineering 4.0 - WEF - McKinsey Light House Plant

https://nraoiekc.blogspot.com/2024/04/ericsson-lewisville-plant-industrial.html

6. Foxconn - Shenzen Plant - Industrial Engineering 4.0 - WEF - McKinsey Light House Plant

https://nraoiekc.blogspot.com/2024/04/foxconn-shenzen-plant-industrial.html

8. GlaxoSmithKline (GSK) Hertfordshire Plant - Industrial Engineering 4.0

https://nraoiekc.blogspot.com/2024/04/glaxosmithkline-gsk-hertfordshire-plant.html

9. Haier - Hefei Plant - Industrial Engineering 4.0 - Industry 4.0 WEF-McKinsey Lighthouse

https://nraoiekc.blogspot.com/2024/04/haier-hefei-plant-industrial.html

10. Ingrasys - Taoyuan, Taiwan Plant - Industrial Engineering 4.0 - WEF - McKinsey Light House Plant

https://nraoiekc.blogspot.com/2024/04/ingrasys-taoyuan-taiwan-plant.html

11. Johnson & Johnson - Industrial Engineering - Productivity Improvement Activities - Industry 4.0 Lighthouse Plant

https://nraoiekc.blogspot.com/2024/04/johnson-johnson-industrial-engineering.html

12. K-Water - Hwaseong - REPUBLIC OF KOREA - Industrial Engineering 4.0 - WEF - McKinsey Light House Plant

https://nraoiekc.blogspot.com/2024/04/k-water-hwaseong-republic-of-korea.html

13. LONGi Solar - Jiaxing Plant - Industrial Engineering 4.0 - WEF - McKinsey Light House Plant

https://nraoiekc.blogspot.com/2024/04/longi-solar-jiaxing-plant-industrial.html

15. Mondelēz - Beijing Plant - Industrial Engineering 4.0 - WEF - McKinsey Light House Plant

https://nraoiekc.blogspot.com/2024/04/mondelez-beijing-plant-industrial.html

Mondelez - Sricity

16. Novo Nordisk - Hillerød Plant - Industrial Engineering 4.0 - WEF - McKinsey Light House Plant

https://nraoiekc.blogspot.com/2024/04/novo-nordisk-hillerd-plant-industrial.html

17. Otis - Industry 4.0 - Industrial Engineering 4.0 - Productivity and Quality Engineering and Improvement.

https://nraoiekc.blogspot.com/2024/04/otis-industry-40-industrial-engineering.html

18. Procter & Gamble - Takasaki Plant - Industrial Engineering 4.0 - WEF - McKinsey Light House Plant

https://nraoiekc.blogspot.com/2024/04/procter-gamble-takasaki-plant.html

19. Quaker Houghton - Industrial Engineering 4.0 - Intelligent Die Casting

https://nraoiekc.blogspot.com/2024/04/quaker-houghton-industrial-engineering.html

20. Renault - Industrial Engineering 4.0

https://nraoiekc.blogspot.com/2024/04/renault-industrial-engineering-40.html

22. S   Schneider Electric - Hyderabad

https://nraoiekc.blogspot.com/2024/04/schneider-electric-hyderabad-plant.html

23. T  The Coca-Cola Company - Ballina

https://nraoiekc.blogspot.com/2024/04/the-coca-cola-company-ballina-plant.html

24. U  Unilever - Sonepat

https://nraoiekc.blogspot.com/2024/04/unilever-sonepat-plant-industrial.html

25. V   Volkswagen - Industrial Engineering 

https://nraoiekc.blogspot.com/2024/04/volkswagen-industry-40-industrial.html

26. W   Western Digital - Bang Pa-In

https://nraoiekc.blogspot.com/2024/04/western-digital-prachinburi-plant.html

27. X    Xiaomi Corporation - Industrial Engineering 4.0  - vacuum cleaner

https://nraoiekc.blogspot.com/2024/04/xiaomi-corporation-mi-smart-factory.html

29. Y   Yamaha - Industrial Engineering 4.0

https://nraoiekc.blogspot.com/2024/04/yamaha-industry-40-industrial.html

30. Z   Zymergen - Emeryville

https://nraoiekc.blogspot.com/2024/04/zymergen-emeryville-industrial.html

Monday, December 14, 2020

The Dimensions of the New MESA Smart Manufacturing Model

Technologies, capabilities and lifecycles. 

The New MESA Smart Manufacturing Model will  provide guidance to practitioners and provide a practical down-to-earth vision of what Smart Manufacturing can and should be.

http://blog.mesa.org/2020/12/the-dimensions-of-new-mesa-smart.html

http://blog.mesa.org/2020/11/the-value-of-new-mesa-smart.html

http://blog.mesa.org/2020/11/getting-new-mesa-smart-manufacturing.html

http://blog.mesa.org/2018/02/diiot-idiot.html

http://blog.mesa.org/2018/02/the-importance-of-standards-for-smart.html

http://blog.mesa.org/2017/12/is-industry-40-really-smart.html

http://blog.mesa.org/2017/11/the-smart-factory-shifts-from-reactive.html

http://blog.mesa.org/2017/08/virtual-smart-advisors-kickstart-smart.html

http://blog.mesa.org/2017/06/industry-40-and-smart-services-welt.html

http://blog.mesa.org/2017/05/notes-from-smart-manufacturing-and-iiot.html

http://blog.mesa.org/2017/04/top-3-drivers-for-mes-in-industry-40.html

http://blog.mesa.org/2016/12/what-to-expect-in-4th-industrial.html

http://blog.mesa.org/2016/08/why-and-how-to-use-production-process.html

http://blog.mesa.org/2016/07/how-smart-are-we-in-manufacturing-today.html

http://blog.mesa.org/2016/06/the-smart-manufacturing-landscape_30.html

http://blog.mesa.org/2016/03/smart-manufacturing-and-continuing-need.html

http://blog.mesa.org/2016/03/the-smart-manufacturing-elevator-pitch_25.html

http://blog.mesa.org/2016/03/the-smart-manufacturing-elevator-pitch.html

http://blog.mesa.org/2016/03/smart-manufacturing-isnt-so-smart.html

http://blog.mesa.org/2016/02/how-to-achieve-smart-manufacturing.html

http://blog.mesa.org/2016/01/smart-manufacturing-what-if-they-threw.html

http://blog.mesa.org/2015/04/join-development-of-smart-manufacturing.html  First post on smart manufacturing in MESA Blog

---------------
The Smart Factory - Deloitte Insights - 2019

Major features: connectivity, optimization, transparency, proactivity, and agility.

Each of these features can play a role in enabling more informed decisions and can help organizations improve the production process.


Benefits of the smart factory

Asset efficiency - productivity

Product Performance and Quality

Lower cost

Safety and sustainability


https://www2.deloitte.com/us/en/insights/focus/industry-4-0/smart-factory-connected-manufacturing.html

ud. 16.7.2025, 1.1.2021, 2 Jan 2020

posted 23.10.2019

Manufacturing Execution System Software

 

21.12.2024

Training in India in MES Software

https://www.companysconnects.com/manufaturing-execution-system-mes

11.10.2020

https://www.matrikonopc.com/products/opc-archiving/opc-desktop-historian.aspx

MES and Historians in the Digital Spotlight

Plant floor stalwarts for decades, historians and manufacturing execution systems are gaining new attention along with hot trends in digital and manufacturing intelligence. Staying competitive will require extending the MES across operations.

Lauren Gibbons Paul

Apr 5th, 2018

https://www.automationworld.com/products/data/article/13318551/mes-and-historians-in-the-digital-spotlight

https://www.dmcinfo.com/services/manufacturing-automation-and-intelligence/manufacturing-execution-systems-services/mes-historian-implementation

Investigating multiple events in sequence -guidelines

http://www.ludwigbenner.org/STEP-MES_Guides-wf/Guide00.html

US8491839B2

United States

Manufacturing execution systems (MES)

Abstract

Manufacturing execution systems (MES) are disclosed herein. The MES and methods described herein provide an ability to control and monitor manufacturing processes (for example, chemical and pharmaceutical) and can ensure data and product integrity and ultimately minimize overall manufacturing cost.

Classification: G05B19/41875 Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by quality surveillance of production

2013-07-23

Publication of US8491839B2

2013-07-23

Application granted

Status

Active

2026-03-05

Adjusted expiration

https://patents.google.com/patent/US8491839B2/en

Uniformance Process History Database (PHD)

Advanced Software Uniformance - Software for Process History and Analytics

https://www.honeywellprocess.com/en-US/explore/products/advanced-applications/uniformance/Pages/uniformance-phd.aspx

1997

https://www.mmsonline.com/articles/the-shop-with-a-nervous-system

Edinn

https://www.youtube.com/watch?v=2Js9sj38TJc

https://edinn.com/modulos-3/

Critical Manufacturing - MES & IIoT

https://www.youtube.com/watch?v=PLntjUFMLk8

____________

____________

https://glassfactory.wordpress.com/2012/05/22/make-mes-a-success/

https://glassfactory.wordpress.com/tag/ewi/

https://www.facebook.com/409126109135241/posts/by-taking-an-operations-based-approach-to-manufacturing-execution-systems-new-is/2888631777851316/

https://medium.com/@ISAAutomation/managing-continuous-improvement-in-manufacturing-5b9fadd2cf73

Ud. 21.12.2024, 11.10.2020.

Pub. 5 september 2020

Smart Engineering for a Better World - Essays for 55th India Engineers’ Day

New.

Popular E-Book on IE,

Introduction to Modern Industrial Engineering.  #FREE #Download.

In 0.1% on Academia.edu. 3600+ Downloads so far.

https://academia.edu/103626052/INTRODUCTION_TO_MODERN_INDUSTRIAL_ENGINEERING_Version_3_0

 Message for the Day.

As engineers it is important that we adopt smart engineering to leapfrog into new realms in this era of smart engineering for a better tomorrow.

Smart Engineering - Essays

Smart Engineering - Introduction

https://nraoiekc.blogspot.com/2018/01/smart-engineering.html

Smart Machine Based Business Process Design and Improvement

https://nraoiekc.blogspot.com/2022/09/smart-machine-based-business-process.html

Productivity Improvement Through Smart Machines

https://nraoiekc.blogspot.com/2017/07/productivity-improvement-through-smart.html

Smart Industrial Devices, Equipments and Machines - Sensor Attached Equipments

https://nraoiekc.blogspot.com/2016/04/smart-industrial-devices-equipments-and.html

Smart Manufacturing - Application Areas

https://nraoiekc.blogspot.com/2019/11/smart-manufacturing-application-areas.html

Smart Factory - Concept and Research

https://nraoiekc.blogspot.com/2019/07/smart-factory-concept-and-research.html

Smart Factory Productivity Engineering

https://nraoiekc.blogspot.com/2022/01/smart-factory-productivity-engineering.html

Smart Factory Implementation - Steps, Benefits, Challenges and Road Maps

https://nraoiekc.blogspot.com/2019/06/smart-factory-implementation-steps.html

High Productivity Through Smart Factories - Industry 4.0 - Bulletin Board

https://nraoiekc.blogspot.com/2017/07/high-productivity-through-smart.html

Sensors for IoT and Smart Machines

https://nraoiekc.blogspot.com/2019/11/sensors-for-iot-and-smart-machines.html

Sensors in Machine Tools - Data Generation and Analysis - Output of Data Science - Productivity and Quality Engineering

https://nraoiekc.blogspot.com/2021/07/sensors-in-machine-tools-data.html

Digital Twin - Bibliography

https://nraoiekc.blogspot.com/2020/12/digital-twin-biblography.html

Bayer Pharmaceuticals, Garbagnate, Italy - Smart Factory

https://nraoiekc.blogspot.com/2019/11/bayer-pharmaceuticals-garbagnate-italy.html

P&G Rakona Plant - Smart Factory

https://nraoiekc.blogspot.com/2019/11/p-rakona-plant-smart-factory.html

Smart Factory of Protolabs Injection Molding Facility in Plymouth, USA

Industrial Engineering Using Smart Process Technologies - Process Improvement - Process Chart Method

https://nraoiekc.blogspot.com/2022/05/industrial-engineering-using-smart.html

Smart Factory - Productivity Improvement

https://nraoiekc.blogspot.com/2019/10/smart-factory-productivity-improvement.html

Smart Manufacturing - Application Areas

https://nraoiekc.blogspot.com/2019/11/smart-manufacturing-application-areas.html

Smart Inspection

https://nraoiekc.blogspot.com/2022/05/smart-inspection.html

Smart Inspection - Metrology Magazine Issue of January 2022

Smart Material Handling and Transport

https://nraoiekc.blogspot.com/2022/05/smart-material-handling-and-transport.html

Smart Production Planning - Smart Process Chart Improvement

https://nraoiekc.blogspot.com/2022/05/smart-production-planning-smart-process.html

Smart Warehouse - Industry 4.0 Warehouse - Warehouse 4.0

https://nraoiekc.blogspot.com/2018/06/smart-warehouse-industry-40-warehouse.html

Large Scale Optimization in Supply Chains and Smart Manufacturing - Book Information

https://nraoiekc.blogspot.com/2020/07/large-scale-optimization-in-supply.html

Smart Engineering

https://nraoiekc.blogspot.com/2018/01/smart-engineering.html

Smart Glass - Productivity Benefits

https://nraoiekc.blogspot.com/2018/11/smart-glass-productivity-benefits.html

Theme Essay - Institution  of Engineers  (India)

India. 55th ENGINEERS’ DAY. Theme: Smart Engineering for a Better World.

As engineers it is important that we adopt smart engineering to leapfrog into new realms in this era of smart engineering for a better tomorrow.

September 15 is celebrated every year in the country since the year 1967 as “Engineers’ Day” to commemorate the birthday of the legendary engineer Sir Mokshagundam Visvesvaraya. Sir Visvesvaraya, an eminent Indian engineer and statesman was born in a remote village of Karnataka, the State that is incidentally now the Hi-tech State of the country. Due to his outstanding contribution to the society, Government of India conferred “Bharat Ratna” on this legend in the year 1955. He was also called the precursor of economic planning in India. His learned discourse on Economic Planning in India, Planned Economy for India and Reconstructing India, was the first available document on the planning effort of the country and it is still held as the parent source matter for economic planners. A theme of national importance is chosen every year by the Council of the Institution and deliberated at its various State/Local Centres to educate the engineering fraternity in general and the society in particular. This year the 55th Engineers’ Day will be celebrated all over the country on the theme “Smart Engineering for a Better World".

The 55th Engineers Day celebration on the theme ‘Smart Engineering for a Better World’ will be celebrated by The Institution of Engineers (India) at its various State & Local Centres to take a stock of various capability and capacity building initiatives undertaken in crucial sectors like road and rail connectivity, drinking water, agriculture, healthcare and nutrition, affordable housing and better governance through induction of smart technologies to achieve Sustainable Development Goals in a phased manner. The societal engineering aspect will also be delved into as it is a deciding parameter in ascertaining the extent of for developing a smart infrastructure of inclusive nature as well as creation of newer job openings. The theme ‘Smart Engineering for a Better Future’ also encompasses issue of environmental sustainability. There is no well established roadmap towards building a smart infrastructure and trying to replicate a generic global template might not work. Such developments are extremely contextual and should reflect challenges, priorities and aspirations at the regional level. The solutions would require synergy between industry, academia and government and should foster an ecosystem where different players can participate and share best practices and develop action plans for switching to a smart infrastructure for a sustainable and prosperous future.

The engineers need to understand that there is tremendous pressure on the existing service infrastructures which are inadequate and not designed to sustain challenges like air pollution, waste management, traffic congestions, effective healthcare and housing for all etc.  This will require finding sustainable and inclusive solutions to provide affordable housing, healthcare, nutrition, mass rapid transportation and drinking water especially to the urban populace which may later be replicated in other areas in a phase wise manner. 

An interesting commonality in the nature of these challenges is dealing with massive levels of digitization and generation of data. These perceived challenges are veiled opportunities to leverage data science and analytics and thereby induct smart engineering to deal with major global challenges, such as adverse effects of climate change, water scarcity, mixed energy usage, reducing the digital divide among others. The engineering profession is undergoing a paradigm shift with the induction of digitization and emphasis on man-machine interface with induction of logical thinking in machines. Automation and analytics has proved to be decisive and has brought about changes in conceptualization of all major verticals of engineering. Investing in capacity building of smart infrastructure ensuring smart delivery of civic services will serve the broad societal interest with ramifications leading to establishment of effective and accountable governance system congruent to our needs.

As engineers it is important that we adopt smart engineering to leapfrog into new realms in this era of smart engineering for a better tomorrow.

2023 Theme

Engineering for a Sustainable Future

Ud. 14.9.2023, 28.9.2022, 15.9.2022

Pub. 13.9.2022

Smart Warehouse - Industry 4.0 Warehouse - Warehouse 4.0

New.

Popular E-Book on IE,

Introduction to Modern Industrial Engineering.  #FREE #Download.

In 0.1% on Academia.edu. 3600+ Downloads so far.

https://academia.edu/103626052/INTRODUCTION_TO_MODERN_INDUSTRIAL_ENGINEERING_Version_3_0

Smart:   Tractor

https://twitter.com/hashtag/SmartWarehouse

https://www.linkedin.com/feed/hashtag/?keywords=smartwarehouse

An smart warehouse consists of automated workflows, robust analytics, and IoT-enabled devices that work together to streamline inbound logistics, storage, and outbound logistics. By embedding smart technologies across the warehousing value chain, companies can make their supply chains more nimble, responsive, cost-effective, and efficient.

https://www.birlasoft.com/articles/future-of-logistics-and-warehousing

https://www.zyter.com/iot/smartspaces-solutions/#smart-warehouse

Zyter Inc. @Zyterofficial

2023

Systematic Review

Applications of Industry 4.0 Technologies in Warehouse

Management: A Systematic Literature Review

Lihle N. Tikwayo and Tebello N. D. Mathaba *

Logistics 2023, 7, 24. 

https://doi.org/10.3390/

2022

Smart Warehouse Management System: Architecture, Real-Time Implementation and Prototype Design

Machines 2022, 10(2), 150; https://doi.org/10.3390/machines10020150

https://www.mdpi.com/2075-1702/10/2/150

Delivering Smart Warehouses

By Jake Widman

Commissioned by CACM Staff

January 4, 2022

https://cacm.acm.org/news/257673-delivering-smart-warehouses/fulltext

2021

Mendix - Smart Warehousing - Use Case Demo - PROLIM

16 Dec 2021

https://www.youtube.com/watch?v=vBk4mg3Dty4

How Internet of Things (IoT) is making Warehouse Smarter.

September 19, 2021

Ajay Kumar

Robotics | Warehouse automation ( Conveyors, AS/RS, Picking, Dock, Racking & Shelving)

https://www.linkedin.com/pulse/how-internet-things-iot-making-warehouse-smarter-ajay-kumar/

SB Logistics moves toward lights-out warehouse

In Ichikawa City, Chiba, Japan, SB Logistics has implemented robotic systems for piece-picking and packing, along with automated storage and retrieval, conveyance and sortation. These are big steps toward a fully autonomous warehouse.

September 14, 2021

https://www.mmh.com/article/sb_logistics_moves_toward_lights_out_warehouse

June 11, 2021

Asia's Largest Smart Warehouse for Grocery Deliveries.

Geek+ announces the successful launch of 100 autonomous mobile robots (AMRs) in the distribution center of Circle K Hong Kong. 

Today, the distribution center of 140,000 square feet handles the deliveries of more than 300 Circle K convenience stores in Hong Kong, serving over 600,000 customers daily.

Daily handling of over 1,000,000 products.

https://www.roboticsresear.ch/articles/24032/asias-largest-smart-warehouse-for-grocery-deliveries

https://www.armstrongltd.com/smart-warehouse.php

A number of  functions are available in the  Smart Warehouse Solutions. 

Dock Management Systems

Dimension Weighing and Scanning System (DWS)

Intelligent Inbound Automation with Industry 4.0 (IoT) material handling & conveying, sorting

Mobile Robotics – Automated Guided Vehicles (AGV) & Autonomous Mobile Robots (AMR)

Intelligent Conveying

Video Safety

Track & Trace

Video Analytics

Automated Storage & Retrieval Systems (ASRS)

Goods to Person (G2P) Order Fulfilment

Robotic Picking

Automated Order Fulfilment

Robotic Sorting

Robotic Palletizing

Pick and Put to Light Systems

High Speed Loop Sorters & Linear Sortation Systems – Cross Belt Sorters, Shoe Sorters, ARB Sorters, Pop-up Sorters, etc

End of line automation

Packing to Warehouse automation

Consolidation and sortation

The intelligent software  binds each and every element of a Smart Warehouse.

 

2020


Smart Warehouse Monitoring Solution
Leverage IoT to take your warehousing operations to the next level
https://www.iotconnect.io/smart-warehouse-monitoring.html

Enable your warehouse to perform smarter, streamline business processes and maximize space utilization

These days, warehouses are more than a storage and inventory facility. Thus, a lot of organizations are investing in IoT-enabled warehousing for better automated control systems (ACS) and warehouse management systems (WMS) to improve their operational efficiency by reducing costs.

Our Smart Warehouse Monitoring solution enables the real-time monitoring of warehouse assets/equipment by offering real-time transparency and traceability of all goods across different locations. The gathered data generate meaningful insights regarding inventory and storage status and provide stock visibility. It helps a warehouse operator to prevent inventory shrinkage and increase worker safety. Also, such valuable insights help in optimizing the storage location, pallet journey, warehouse throughput and workforce.



Key Challenges

• Lack of end-to-end inventory visibility
• 
  
• Consignment damages
• 
  
• Poor storage utilization
• 
  
• Redundant processes
• 
  
• Longer TAT for picking and packing process
• 
  
• Errors in order processing

IoT-based warehouse monitoring solution
Environment & storage area monitoring
Preserve perishable food, finished products, unfinished material, process chemicals
Monitor the physical condition of the inventory stock to prevent from damages
Automate environment control - temperature, cold storage, air quality, dust, CO2 levels and HVAC systems
Maintain high-quality service standards for product storage and regulatory compliance with remote monitoring
Get notifications whenever environment parameters exceed the threshold

Smart warehouse management

Manage the route of goods starting from pick-ups, quality control, storage, to retrieving goods
Track inventory items by monitoring their status and position
Manage warehousing day-to-day processes without human errors
Gather data of warehouse operations and inventory to prevent any losses
Increase order fulfillment rate, stock replenishment and lone worker safety

Warehouse pallet tracking & monitoring

Log the entry and exit of pallets from the warehouse
Monitor the movement of pallets with warehouse zones
Track the exact location of pallets that are lost or misplaced
Identify pallet moving in some wrong direction or is placed in a wrong place in real-time
Send an automated notification or alert to the supervisor about the unusual movement of pallets

Environment & storage area monitoring

Preserve perishable food, finished products, unfinished material, process chemicals
Monitor the physical condition of the inventory stock to prevent from damages
Automate environment control - temperature, cold storage, air quality, dust, CO2 levels and HVAC systems
Maintain high-quality service standards for product storage and regulatory compliance with remote monitoring
Get notifications whenever environment parameters exceed the threshold

Smart warehouse management

Manage the route of goods starting from pick-ups, quality control, storage, to retrieving goods
Track inventory items by monitoring their status and position
Manage warehousing day-to-day processes without human errors
Gather data of warehouse operations and inventory to prevent any losses
Increase order fulfillment rate, stock replenishment and lone worker safety


MAXIMIZE YOUR PROFITS WITH SMART WAREHOUSE MANAGEMENT

KPIs for warehouse management

• Productivity and turnover rate
• 
  
• Inventory on-hand and inventory flow
• 
  
• Order fill rate
• 
  
• Pick & pack efficiency
• 
  
• Occupancy management
• 
  
• Inventory health monitoring

Benefits of IoT solutions for warehouse management

• Reduced warehouse operating costs
• 
  
• Effective, real-time tracking
• 
  
• Integration with warehouse management systems
• 
  
• Improved operational efficiency
• 
  
• Optimization of location bin & space utilization
• 
  
• Enhanced forecasting accuracy

Team up, With IoTConnect
Want to monitor and control your warehouse environment remotely?
Implement Smart Warehouse Monitoring solution based on our IoTConnect platform to empower your business to achieve maximum efficiency and ROI.



IoTConnectTM
Softweb Solutions Inc. (An Avnet Company)
Dallas Office :
7950 Legacy Drive, St 250,
Plano, TX 75024
Chicago Office :
2531 Technology Drive, St 312,
Elgin, IL 60124
Phone :
866-345-7638

Mail:
info  @ softwebsolutions.com



SAP EWS
Deloitte Practice
SMART WAREHOUSING allows you to implement the 14 most value-adding features of EWM in less than a month and at an affordable price.
https://www2.deloitte.com/be/en/pages/technology/solutions/smartwarehousing.html





2018

DHL  Smart Warehouse
_____________________


_____________________
October 2017


World Class Receiving and Putaway
_____________________

______________________

2013
Edward H. Frazelle Ph.D.

HOW TO СREATE IOT-ENABLED SMART WAREHOUSE
https://eleks.com/blog/iot-enabled-smart-warehouse


THREE PROVEN TECHNOLOGY TRENDS FOR LOGISTICS ENTERPRISE MAKEOVER
https://eleks.com/blog/three-proven-technology-trends-for-logistics-enterprise-makeover/

Ud. 12.9.2023,  9.1.2022, 18.10.2021, 27 June 2020, 

Pub10 June 2018

IE 4.0: IoT Adoption, Improvement, Maturity, Productivity, Innovation and Connected Products

 

2023

Top 10 Industries deploying IoT in 2023

Curious about new technological advancements in the IoT sector? 

https://www.startus-insights.com/innovators-guide/internet-of-things-startups/

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

Internet of Things (IoT): Principles, Paradigms and Applications of IoT
Dr Kamlesh Lakhwani, ‎Dr Hemant Kumar Gianey, ‎Joseph Kofi Wireko - 2020 - ‎Preview
A Systematic Approach to Learn the Principles, Paradigms and Applications of Internet of Things 

https://www.google.co.in/books/edition/Internet_of_Things_IoT/QdPTDwAAQBAJ

Table 1.1 IoT Emergence

1999 - MIT Auto Identification Center. Interlinked devices to network using RFID technology. Kevin Ashton used the term internet of things.

2002 - Schoenberger and Bruce Upbin published Internet of Things. They wrote about Kevin Ashton.

2020

IoT - MDPI Open Access Journal - was started in 2020

https://www.mdpi.com/journal/IoT

2019

IoT 2019 in Review: The 10 Most Relevant IoT Developments of the Year

https://iot-analytics.com/iot-2019-in-review/

https://theiotmagazine.com/the-manufacturers-complete-guide-to-iot-drive-efficiency-with-embedded-intelligence-1cf230872558

http://siemens.mindsphere.io/en/about/for-users

https://www.bsquare.com/blog/

More articles on IoT

IoT in Machine Shops

https://nraoiekc.blogspot.com/2021/12/iot-in-machine-shops.html

IoT Engineering

https://nraoiekc.blogspot.com/2021/12/iot-engineering.html

IoT Application in Tire Manufacturing

https://nraoiekc.blogspot.com/2020/04/iot-application-in-tire-manufacturing.html

Updated 12.3.2023

Pub 26.9.2020

Smart Inspection

 

Smart Inspection - Inspection Developments in Industry 4.0 Engineering/Production Environment

Smart Inspection - Metrology Magazine Issue of January 2022

Smart Inspection prevents Downtime
Inspection across a production line also plays a key role in effective quality control. Our systems combine sensors like vision systems with smart data to ensure any issues have minimal impact on the line.
http://blog.omron.eu/smart-inspection-prevents-downtime/


Smart inspection solution for printed coding and marking
07 June 2019
A collaboration between SICK and AutoCoding Systems has resulted in the launch of what is believed to be the first fully-automatic smart vision inspection system for printed coding and marking on food and beverage packaging.
https://www.fponthenet.net/article/171330/Smart-inspection-solution-for-printed-coding-and-marking.aspx


2018

Inspection in the age of smart manufacturing
Written by: Tom Austin-Morgan | Published: 05 November 2018
Metrology is often an overlooked process in manufacturing, when it actually plays an essential role. In particular, inspection helps ensure that component parts fit together accurately and ensures that final products work and operate safely. Even for relatively simple manufactured products, there is more to inspection than meets the eye.
http://www.eurekamagazine.co.uk/design-engineering-features/technology/inspection-in-the-age-of-smart-manufacturing/192747/

LEAN
Applying Smart Manufacturing Technology to Conduct Smart Inspections
How a company used visual inspection software to improve its manufacturing and inspection process
PUBLISHED: THURSDAY, OCTOBER 11, 2018
https://www.qualitydigest.com/inside/lean-article/applying-smart-manufacturing-technology-conduct-smart-inspections-101118.html

NOVEMBER 2, 2017
Epicor Introduces ‘Smart Inspection’ Tool
Innovative mobile “Smart Inspection” tool that guides automotive service professionals through detailed vehicle inspections and generates custom-branded inspection reports that can be delivered to the customer.
https://www.tirereview.com/epicor-introduces-smart-inspection-tool/


CLEANING INSPECTIONS SIMPLIFIED
https://mysmartinspect.com/

Smart Inspection Systems
Techniques and Applications of Intelligent Vision
Book • 2003
D.T. Pham and R.J. Alcock
https://www.sciencedirect.com/book/9780125541572/smart-inspection-systems





Ultrasonic Bearing Inspection
http://www.uesystems.eu/applications/ultrasonic-bearing-mechanical-inspection/

2019
An Analysis of Modern Bridge Inspection Technologies
by SARAH MCGUIRE, ALICIA HEARNS April 29, 2019
https://www.giatecscientific.com/education/bridge-inspection-technologies/

In-Line Inspection using Combined Technologies – Magnetic ...
https://www.pipeline-conference.com/sites/default/files/papers/PTC%202009%202.2%20Beuker.pdf


 2018
What’s the optimal assembly verification method for tough inspection tasks?
Comparing traditional machine vision, human inspection, photometric, and machine learning approaches for solving the hardest inspection challenges.
Oct 1st, 2018
https://www.vision-systems.com/factory/manufacturing/article/16739326/whats-the-optimal-assembly-verification-method-for-tough-inspection-tasks

2015

Cost-effective approach to pier inspection and maintenance

Authors: G. B. Bakun,  2015

A Maintenance Management Methodology for Dealing with Marine Pier Deterioration

Preliminary Inspection - Detailed Inspection

Structural Analysis - Repair/Preventive Maintenance

Two Examples of Savings Achieved Through Analysis

https://www.icevirtuallibrary.com/doi/abs/10.1680/maosm.02739.0027

G. R. Tang and M. Jiang, "Analysis and Research on Inspection Methods of Drilling Holes in Power Transmission Line Foundation", Applied Mechanics and Materials, Vols. 799-800, pp. 1268-1271, 2015
https://www.scientific.net/AMM.799-800.1268

2013
Why New Inspection Methods Can Cost Less? - Medical device inspection
http://www.mdtmag.com/articles/2013/04/why-new-inspection-methods-can-cost-less#.UqiI-dKBni4

Method improves ultrasonic inspection of complex parts
http://www.theengineer.co.uk/channels/design-engineering/news/method-improves-ultrasonic-inspection-of-complex-parts/1016789.article

Method for optical inspection of nanoscale objects based upon analysis of their defocused images and features of its practical implementation
M.V. Ryabko, S.N. Koptyaev, A.V. Shcherbakov, A.D. Lantsov, and S.Y. Oh
Optics Express Vol. 21, Issue 21, pp. 24483-24489 (2013)
https://www.osapublishing.org/oe/abstract.cfm?uri=oe-21-21-24483

Smart Inspection Systems: Techniques and Applications of Intelligent Vision

Duc T. Pham, R J Alcock

Elsevier, 09-Dec-2002 - Technology & Engineering - 240 pages

Smart Inspection Systems: Techniques and Applications of Intelligent Vision will enable engineers to understand the various stages of automated visual inspection (AVI) and how artificial intelligence can be incorporated into each stage to create "smart" inspection systems. The book contains many examples that illustrate and explain the application of conventional and artificial intelligence techniques in AVI. The text covers the whole AVI process, from illumination, image enhancement, segmentation and feature extraction, through to classification, and includes case studies of implemented AVI systems as well as reviews of commercially available inspection systems. Each chapter concludes with exercises.

This book will be of interest to users and developers of commercial industrial inspection systems as well as researchers in the fields of machine vision, artificial intelligence and advanced manufacturing engineering.

https://books.google.co.in/books?id=i7EMwG0Cqk4C&printsec=frontcover#v=onepage&q&f=true

https://books.google.co.in/books?id=i7EMwG0Cqk4C

Development of Smart Pigs for Gas Pipeline Inspection

https://books.google.co.in/books?id=-iZWe8aQfd4C&pg=PA507#v=onepage&q&f=false

https://books.google.co.in/books?id=-iZWe8aQfd4C

Ud. 28.9.2022,  22.9.2022

Pub. 5.5.2022

Case Study - Automatic Inspection of Curtain Cloth with Machine Vision

 

Vadain, the custom curtains manufacturer in the Netherlands, together with software developers from Sycade, OMRON machine vision technology, and machine builder Eisenkolb,  developed an automated solution to detect and analyze errors in curtain fabrics.

Sycade - Vadain machine vision case video

__________________

https://www.youtube.com/watch?v=QT4a5yZtP7w

__________________

Sycade is an expert in the field of quality improvement through automation in the manufacturing industry.  With the expertise of Vadain, the technology and innovative automation concept of OMRON, hardware of Eisenkolb and a camera light supplier, Sycade set up a solution using a 'standard' rolling machine to unroll rolls from position A and roll up again to position B. The unrolled fabric passes over an assessment surface with an integrated cutting unit, located inside a dark unit with vision technology.

Detect, cut, register

After a defect is detected and assessed, the roll is cut and defect portion is separated. The  partial roll is marked with a sticker with the parent roll plus partial roll marking, including the number of meters. This makes it possible to have an account of meters of flawless fabric is in stock and in which cuts. This ensures that the workshop knows exactly which partial—and error free—roll can be used most efficiently for a particular order. The total of the sub-rolls remains linked to the original meters of the parent roll, making it easy and efficient to reorder fabrics.

https://industrial.omron.eu/en/solutions/blog/vadain-customer-reference

IoT & AI Based Machine Monitoring System for Productivity, Quality and Delivery Improvement

Illustration - A Solution Provided by Teksun

What Are The Fruits Born By Machine Monitoring?

It is useful for both discrete and process industries. Machine Learning is more affordable. Sensors are available at lower prices. Edge Devices have become more versatile. The connectivity provisions, that is networking, have become more robust. The enables measurement and tracking of many vitial parameters and analyze them intelligently using data processing machines to create more value in many activities. 

Accurate Performance Measure:

Machine Monitoring can more accurate, timely performance measures without missing any period data, 

Real-Time & Quick Notifications:

Machine Monitoring allows you to automatically and reliably notify every manager and every technician the parameters of his interest or responsibility if a set threshold is crossed. This provision can be  easily configured in  your solution to the system.

Systematic Maintenance:

The featured system lets you tailor the repairs and maintenance as per the actual wear and tear of the Machine. It also allows  you to use a past record of both the parts’ and machines’ lifecycle, resulting in only the required maintenance at the needed time.

High Efficiency At Work:

Machine Monitoring helps you to get an accurate understanding of the production flow and backlog of orders. The data helps you to identify and eliminate bottlenecks and perfect production schedules. It empowers you with the information that’s required to balance lines and time production runs.

Resource Consumption:

With Machine Monitoring at your side, you have the ability to measure the exact input, output, and energy consumed. This information can further help you to reduce wastage.

No Manual Efforts Required:

Driven by automation and based on advanced technologies like Artificial Intelligence and the Internet Of Things, Machine Monitoring automatically gathers the required data and provides valuable insights to improve the operations. 

Personalized Performance Reporting:

Machine Monitoring facilitates you with tailor-made performance reports inclusive of all the important information fetched, compiled, and filtered from multiple sources. This also provides you with sure-shot, concise, and actionable data to expedite the entire analysis process.

Machine Monitoring Is Spread Across How Many Different Branches?

With branches, we mean the various applications or use-cases of Machine Monitoring. Yes! Machine Monitoring is spread across different cases as they comprise everything from monitoring, analysis, industrial sensors to the touch-screen interfaces mounted on machines. Also, not to forget that these systems are interconnected with IIoT or Manufacturing Application platforms.

For Overall Equipment Effectiveness:

 Machine Monitoring allows the operators to annotate reason codes for downtime, thereby helping in documenting the root cause at the source. Moreover, machine monitoring systems facilitate you to balance the production lines, track the operations, and plan the production. It also lays a foundation for calculating essential Machine KPIs such as quality, availability, utilization, OEE, etc.

Production Tracking & Job-Route Optimization:

Another use of Machine Monitoring could be found for Production Tracking & Job-Route Optimization.  Machine Monitoring brings you the merit of easily tracking WIP throughout the value stream. With the dashboards of Machine Monitoring systems, you can find the exact status of how close a particular run is to completion. It also lends you other valuable insights as well, such as whether or not you are meeting the production quotas. This collectively helps you with Job-Route optimization to gain the maximum benefits from your job.

Condition Monitoring:

It  helps you track the condition of each of your machines but also provides a complete understanding of part and asset lifecycle. The sensors attached to the system allow you to monitor different essential parameters such as temperature, noise, vibration, etc., and that too in real-time. This way, Machine Monitoring helps you optimize maintenance schedules and decipher machines’ behavior on the shop floor. It stands as an add-on when it comes to establishing a robust foundation of the predictive maintenance programs, provided that the system deals in collecting data about the Machine’s performance and health in the set local conditions.

Resource Monitoring:

One of the intriguing applications of Machine Monitoring is Resource Monitoring. As businesses are focused more towards cost-savings, the requirement of elevating the efficiency of assets; resource consumption. Organizations receive the privilege of easily measuring current, power drawn, and other resource usages such as injection wax, coolant, water, etc. This further helps manufacturing units optimize usage, plan inventory and buffers, reduce costs, and more.

Machine Monitoring also finds a place for applications like Program Optimization, Tool Life-Cycle Optimization, and more.

Increasing productivity of each and every input is to be attempted by industrial engineers.

Productivity Engineering of Metal Cutting Tools 

https://nraoiekc.blogspot.com/2020/09/alternative-metal-cutting-tools.html

Productivity Engineering of Cutting Fluids.

What’s The Way To The Roots Of Machine Monitoring?

These systems could be devised in a cloud-based SaaS platform, PaaS platform, or on-premise IT infrastructure of the organization.

Build Initial-Level Hypothesis for Problems:

The initial-level hypothesis matters a lot, as it gives you a basic idea of what’s lacking to achieve the set performance. Machine Monitoring has the ability to create new knowledge sources that could further help discover underlying issues. It further stands apt in enhancing clarity to your machining queries by plainly broadening the available information.

Create a Source Of Truth:

Establishing a source of truth could be different for different manufacturing set-ups, but more likely, it could be analyzing the state of the Machine; that’s all about collecting and organizing the relevant data.

Research Evaluation:

This stage brings you the condition of creating tailor-made states of machines that could let you record machine performance to your precise specification. This step allows you to send an automatic trigger notification to a supervisor/technician when certain predetermined thresholds are exceeded.

Educate The Operator:

An essential part comes here…By educating the operators regarding the Machine Monitoring systems, you enable them to use its application for various purposes. They can add details about downtime reasons, logging errors, process completions at source, etc. On the other hand, the application automatically tracks which operator is on duty, the machine program in operation, the number of hours on tools, etc. Hence, providing a holistic understanding of machine health and performance.

Build Tailor-Made Applications:

Yes! Tailor-made applications are a must when you wish to discover the root cause of machine performance issues. If customarily designed, Machine Monitoring systems can help you track quality and production throughout the value stream.

The Conclusion

Knowing how machines suit entire manufacturing processes is vital to enhance those processes. Comprehensive machine monitoring solutions that bring machines online and lead operator action to assist you in realizing these developments.

At Teksun, we strive jointly with our clients to devise integrated machine monitoring systems that derive immense value and faster scalability.

https://teksun.com/blog/strengthening-the-roots-to-productivity-with-machine-monitoring/

Productivity Improvement Through Smart Machines

This topic falls under Facilities Industrial Engineering.

https://nraoiekc.blogspot.com/2020/05/facilities-industrial-engineering.html

Jidoka - Automation and Mechanization - Process Engineering and Industrial Engineering in Toyota Production System

Jidoka, a pillar of Toyota Production Systems advocates automation with human touch in all operations of a process to increase productivity of operators as well as that of total systems.

https://nraoiekc.blogspot.com/2021/04/jidoka-automation-and-mechanization.html

IIOT, Industry 4.0, 4IR (Fourth industrial revolution) etc. are  frameworks to merge the operational technology (OT) with the information technology (IT) to provide new solutions for automating and networking industrial machines and systems for performance and productivity improvement.

What is a Smart Machine?

It is self-­aware, reacts autonomously and provides information about the product being produced, production parameters utilized, production time taken production quantity in unit time periods, production history,  configuration, condition, quality and Overall Equipment Efficiency (OEE) to other machines.

Smart Machine Control

Machine vision and advanced motion control are key components of smart automation. Engineers can increase throughput and build highly efficient modern machines that sharpen accuracy and easily adapt to new products and processes.

Today, the keys to smart machine control are gaining insight into the machine’s operation and the ability to adjust control outputs. Engineers rely on sensor information to monitor the condition of mechanical parts, which gives them the ability to observe the process for quality control or closed-control loops for applications like force feedback or precise positioning.

Today, LabVIEW (of NI.Com) graphical programming helps leading machine builders master this increasing system complexity with add-on modules for motion control, machine vision, and control design and simulation.

"We define smart machines as digitized (or cyber-physical) machines that consist of physical components (e.g., machine frame, engine, and tools), intelligent components (e.g., sensors or software that enable sensing, collecting, and storing of data), connectivity components (allowing for the interaction with the environment and the processing of data outside the machine; e.g., in the cloud), and are extended by machine-related services (e.g., services focused on optimizing manufacturing processes). - Philipp Scharfe and Martin Wiener, Technische Universität Dresden.

https://www.researchgate.net/publication/352538995_Smartification_in_the_Mechanical_Engineering_Industry_A_Typology_of_Smart_Machines

Smart Machines - Illustrations

2022

Smart Textile  Machinery 

PLEVA  StraightLiner SL smart

High-tech Automatic Straightening Machine

The heart of the SL smart system is the well-established advanced traversing camera 

technology which is unique in weft-straightening. The universal high-resolution camera 

captures up to 20 measuring points per meter of fabric width. Advanced evaluation 

algorithms enable an ultra-precise distortion analysis which enables perfect straightening 

results in a blink of time.

To further enhance the efficiency of your processes, a modular control system (PLEVATEC 

smart) can be directly integrated into the machine. This allows to measure, control, 

visualize, and protocol the critical parameters of your specific process, for instance:

• Exhaust humidity (FSX) 

• Fabric temperature (TDS)

• Pick/course density (CAM)

• Residual moisture (RR/RF 120)

CAMERA SYSTEM

Universal high-resolution camera for easy 

detection of a huge variety of fabrics

 • Image capturing in 0.00001 seconds

 • Picture size standard: 40 x 30 mm

 • Reflecting lighting

 • High-speed analysis >10 times per second

 • Picture analysis independent of fabric

speed. From stand still up to fabric speeds 

of 600 m/min.

Smart image processing 

• Universal, self-optimizing detection

• Horizontal distortion

• Brightness control

• Advanced, self-made digital signal processing

• Horizontal density (picks/courses) (option)

• Vertical density (warp/wales) (option)

VISUALIZATION AND CONTROL

High performance, intuitive user interface

The newly designed user interface provides an overview of the most important information 

such as all relevant measuring values, tolerances and status information. 

The high-performance 12“ HMI touch panel can withstand surrounding temperatures of up 

to 60°C without cooling and is suited for the roughest working environments.

Realistic representation of the running fabric

VISUALIZATION AND CONTROL

• Easy to use, intuitive user interface for operator

• Extremely robust 12" HMI touch panel

• Modular concept for upgrades

Modular overview of controls

Status information bar

Current values with tolerance indication 

Trend and visual representation

Controls with status

The newly designed user interface provides an overview of the most important information 

such as all relevant measuring values, tolerances and status information. 

The high-performance 12“ HMI touch panel can withstand surrounding temperatures of up 

to 60°C without cooling and is suited for the roughest working environments.

Realistic representation of the running fabric

 Fabric distortion from selvedge to  selvedge

 Integrated measurement  of fabric width

 Indication of fabric position relatively to center

Max. possible fabric width in machine

FEATURES OF PRODUCT

• Direct readout of skew and bow in % and mm/inch

• Integrated width display in mm/inch

• Indication of fabric position in mm/inch

• Visual representation of the actual running fabric

To ensure that the process is running smoothly and every running meter of fabric is 

produced in the desired quality, different trends are provided. Additional trends for 

comparing skew/bow and the position of the skew-/bow-rollers are also directly available. 

Furthermore, the integrated recipe management provides a database for all critical setvalues, tolerances, controller pre-sets, detection parameters, etc.. This allows the highest 

level of reproducibility for different products and enables easy operation.

To maximize the capabilities of the SL smart, several current connection standards are 

supported and connection to several Industry 4.0 applications can be realized. Connections 

to production lines, MES- and ERP-systems can be realized through:

• ProfiNet or ProfiBus (option)

• OPC UA (option)

• CSV files (option)

For a state of the art instant service of the straightening machine, an industrial router 

can be provided for remote access and service. This can help to further maximize the 

availability and performance of the SL smart.

https://www.pleva.org/fileadmin/pleva/Public/Content/Images/Content/PDFs/Prospekt_SL_smart.pdf

https://www.pleva.org/en/straightliner-textile-production-woven-knitted-goods.html

AK-DSL 2018 machine

AK Dyeing presented AK-DSL 2018 machine,  has washing-smart wash system and hybrid technology to reduce 30%-40% wastewater discharge. Sensor (steam, water, electric consumption, machine run speed, chemical injection rate, Fabric run speed) are all embedded in the machine to provide digital operation data. All the operational data collected through the sensors can be stored in the Industrial PC provided and connect to the Dyehouse’s Central Management System.

https://www.etextilemagazine.com/en/taiwan-smart-machinery-leads-textile-industry.html

Sensors and Controls for Textile Machinery

https://www.pleva.org/en/news/newsnews-feed.html

Smart knitting to change the world

https://www.knittingtradejournal.com/sponsored-content/14631-smart-thinking-to-change-the-world

Application of Sensor Technology in Textiles

https://textilelearner.net/sensor-technology-in-textile-industry/

Monforts Industry 4.0 Innovations

Qualitex 800 control system,  along with the Web-UI app, allows the remote visualisation of Monforts technologies via smart phones and tablet devices. Resource efficiency is being addressed via the latest technologies such as the company’s Eco Line for denim, based on two key technology advances – the Eco Applicator for minimum application of the selected finishing chemicals and the ThermoStretch. In many textile mills globally, the cost of energy for running integrated manufacturing lines – especially those for fabric finishing that can involve numerous sequences of heating and subsequent drying – is now eclipsing the cost of paying people to operate them. The ability of the Eco Applicator to significantly reduce energy costs has seen it rapidly accepted on the market.

https://www.indiantextilemagazine.in/smart-dyeing-finishing-chtc-fongs-innovations/

Creating the Digital Textile Factory at Oerlikon Manmade Fibers 

Oerlikon Manmade Fibers, the world market leader in textile machine manufacturing for manmade fibers, based in Germany, shares  a glimpse of the company's OpenStack-based edge computing architecture and how it is making possible the digitalization of the “From Melt to Yarn, Fibers and Nonwovens” process chain (Video presentation). Oerlikon is innovating heavily in the fields of automation, machine learning and process integration towards the vision of the fully digitalized smart textile factory. 

https://www.openstack.org/videos/summits/berlin-2018/openstack-edge-and-ai-creating-the-digital-textile-factory-at-oerlikon-manmade-fibers

Oerlikon’s Smart Factory helps eliminate waste

The intelligent factory is no longer a vision, it has long become reality. Digital solutions have become fixed elements of Oerlikon’s products and services.

https://www.innovationintextiles.com/oerlikons-smart-factory-helps-eliminate-waste/

Grinding wheel system

Abstract

A grinding wheel system includes a grinding wheel with at least one embedded sensor. The system also includes an adapter disk containing electronics that process signals produced by each embedded sensor and that transmits sensor information to a data processing platform for further processing of the transmitted information.

Patent: US20030194946A1

United States

2006-01-10 Publication of US6985791B2

2006-01-10 Application granted

https://patents.google.com/patent/US20030194946

Grinding wheel having grinding monitoring and automatic wheel balance control functions

EP0460282B1

European Patent Office

It is also proposed to provide an acoustic-wave sensor (AE sensor) for detecting high-frequency ultrasonic vibrations (acoustic or elastic emissions) which are generated by the grinding wheel, as disclosed in Publication No. 64-278 of examined Japanese Utility Model Application. The disclosed AE sensor is fixed to a stationary member of the grinding machine, for detecting vibrations which are transmitted through a liquid that is jetted on a side surface of the abrasive portion of the grinding wheel. In this case, the vibrations detected by the sensor may be affected by the conditions in which the liquid is jetted against the abrasive portion, or by gases which are present in the liquid.

[0007]

Conventionally, a temperature sensor is embedded in the workpiece to be ground by the grinding wheel, so as to measure a temperature at the grinding surface of the wheel during the grinding operation. However, the known sensor is not able to accurately measure the wheel temperature since the workpiece having the sensor is moved relative to the rotating wheel during the grinding operation. If the vibrations or the wheel temperature cannot be accurately detected as in the conventional grinding machine, it is difficult to determine abnormalities in the grinding, resulting in increased unacceptance or reject ratio of the ground workpieces. Further, the above manner of measuring the wheel temperature is restricted by the manner of grinding and the configuration of the workpiece. For example, it is difficult to embed the temperature sensor in a cylindrical workpiece which is rotated during the grinding operation.

1995-07-26 Application granted

1995-07-26 Publication of EP0460282B1

https://patents.google.com/patent/EP0460282B1

Sound Sensors Smooth Grinding Operations

Departments - Reference Guide

Acoustic emission sensing revolutionizes the landing gear strut surface smoothing process.

October 10, 2013

https://www.aerospacemanufacturinganddesign.com/article/amd1013-acoustic-emission-sensing/

HWANCHEON SMART MACHINING CENTER

For Graphite Machining

With SMART-UaX, easy set up of the machine to get the best and fastest machining result with just four botton presses.

SKU: SMART-UaX

Categories: SMART MACHINES

Product Smartness

Generation of optimized NC data

NC data is generated and sent automatically from CAD system. If a problem occurs during machining unattended machining is achieved by automatically analyzing and editing NC programs.

Automatic tool process control

The process step-by-step tool checks status and pre-correction to prevent breakage and abrasion due to processing errors. Each material is processed per hourly forecasts, records and time check by usage, life cycle management to be ready for the next process.

Workpiece automatic detection

Automatic detection of size and position of the workpiece. Prevent the pre-processing error to minimize non-cutting time. The defective material is marked automatically by detecting the H-SMART analysis after shape is compared to stop the process.

Product Specifications

Additional information

Swing Over Bed [mm]

1,300 / 750 / 420

Max. Cutting Diameter [mm]

20 / 20 / 20

Working Surface [mm]

1,200 x 700

Table Loading Capacity [kg]

400

Max. Spindle Speed [rpm]

12,000 (opt. 20,000)

Spindle Motor [kW]

18.5 / 11

Type of Tool Shank

BT-40 (Option : BBT-40, HSK-A63)

Tool Storage Capacity [ea]

50

Floor Space (Length X Width) mm

3,130 x 5,308

NC Controller

H-SMART

https://hwacheonasia.com/product/smart-uax/

Smart Machine Accessory - iQsmartgrind - Hardware and Software for  Process Analysis of  Spring End Grinding

https://www.wafios.com/en/news/display/article/wafios-iot-suite-smartgrind-zur-vereinfachung-der-prozessanalyse-beim-federendenschleifen/

2021

 Creating machines from the ground up that optimize productivity, quality, and safety, while providing insights and information to decision makers when it’s needed is a requirement of best-in-class manufacturers.

Solutions for Smart Machines and Smart Factories by Rockwell Automation.

https://www.rockwellautomation.com/en-in/capabilities/smart-manufacturing/smart-machines.html

Global $210+ Billion Smart Machine Technology and Markets to 2026: Autonomous Robots to Account for $164.9 Billion / Intelligent Assistants to Account for $26.2 Billion

September 15, 2021 

https://www.globenewswire.com/en/news-release/2021/09/15/2297425/28124/en/Global-210-Billion-Smart-Machine-Technology-and-Markets-to-2026-Autonomous-Robots-to-Account-for-164-9-Billion-Intelligent-Assistants-to-Account-for-26-2-Billion.html

Smartification in the Mechanical Engineering Industry: A Typology of Smart Machines

August 2021

Conference: Americas Conference on Information Systems (AMCIS)At: Montreal.

Philipp Scharfe and Martin Wiener, Technische Universität Dresden.

https://www.researchgate.net/publication/352538995_Smartification_in_the_Mechanical_Engineering_Industry_A_Typology_of_Smart_Machines

Global Smart Machines Market 2021-2026 - Integration of Robotics, AI and IoT a Substantial Smart Machine Market Opportunity for Service Automation - ResearchAndMarkets.com

February 17, 2021 

Smart machines collectively represent intelligent devices, machinery, equipment, and embedded automation software that perform repetitive tasks and solve complex problems autonomously. Along with AI, IoT connectivity, and M2M communications, smart machines are a key component of smart systems, which include many emerging technologies such as smart dust, neurocomputing, and advanced robotics. Smart machines will also benefit significantly from advancements in the convergence of AI and IoT, also known as the artificial intelligence of things (AIoT).

Select Research Findings

The global smart machine market will reach $29.9 billion by 2026

Cognitive technologies in North America market will reach $1.43 billion by 2026

Autonomous robots will reach $9.5 billion globally by 2026, growing a CAGR of 18.6%

Neurocomputing solutions for smart machines will reach $1.8 billion globally by 2026

https://www.businesswire.com/news/home/20210217005618/en/Global-Smart-Machines-Market-2021-2026---Integration-of-Robotics-AI-and-IoT-a-Substantial-Smart-Machine-Market-Opportunity-for-Service-Automation---ResearchAndMarkets.com

2020

Jan-June 2020

Smart Machine Tool Digital Engineering - Boost 4.0boost40.eu - PDF

Jan 2, 2020 - “FILL will be the leader in smart machines building by reducing the development time of machines. The developed edge-technology based on smart engineering

https://boost40.eu/wp-content/uploads/2020/01/02_Boost4.0_Fill.pdf

Smart Machines Market Is Expected To Witness CAGR Of 19.3% During The Forecast Period (2019-2027)

https://www.openpr.com/news/1934459/smart-machines-market-is-expected-to-witness-cagr-of-19-3-during

Manufacturing Perfection: How to Make 3D Printing Machines Smarter and Reduce Defects
January 06, 2020

With each line of code and crunch of data, University of Virginia graduate engineering students Oliver Holzmond and Jamison Bartlett get a step closer to revolutionizing the way things are made.

Across several sprawling labs in the UVA School of Engineering’s departments of Mechanical and Aerospace Engineering and Materials Science and Engineering, Holzmond, Bartlett and their Ph.D. adviser, Professor Xiaodong “Chris” Li, are fine-tuning sensors and computer code that will analyze each layer of a 3-D-printed object, spot flaws, decide how to fix the flaws and direct the 3-D printer to make corrections.

https://news.virginia.edu/content/manufacturing-perfection-how-make-smart-machines-smarter

2019

Jan - Mach 2019

Fanuc Smart Machine Control


Machine characteristics change over time due to variations in load, temperature, machine position, wear etc. Smart machine control is a set of features that improve various machine control functions. What makes these functions „smart“ is that they automatically adapt to changing machine conditions in real-time. Shortest cycle times, highest precision and machining quality can be achieved sustainably.

For instance, Smart Adaptive Control adapts the feed rate to the actual spindle load and temperature during roughing. By this, Smart Adaptive Control helps you to utilize the power of your machine tool and to reduce cycle time.

Another example is Smart Machining Point Control. The function predicts the movement of the machining point using a model and suppresses vibration. This reduces the position error. Smart Machining Point Control therefore improves the surface quality of machined parts.

https://www.fanuc.eu/sk/en/cnc/smart-machine-control

Smart Wrenches

Boeing’s switch to ‘smart machine’ inspectors and Smart Wrenches
https://www.postandcourier.com/business/boeing-s-switch-to-smart-machine-inspectors-draws-heat-from/article_b118fae6-62ac-11e9-b324-135afa44d27c.html

Smart Wrenches and the Future of Connected Tools

By Brian Ballard

September 15, 2017

Last year, GE Aviation began a pilot program at its facility near Cincinnati, Ohio. They sought an augmented reality solution that combined three technologies: a WiFi-enabled Atlas-Copco Saltus MWR-85TA torque wrench, Glass Enterprise Edition smart glasses, and Skylight augmented reality platform from Upskill.

Data provided by the smart wrench is integrated into AR user experience so that mechanics wearing Glass can get a real-time reading of exactly how many pounds of pressure to apply to the B-nuts that seal fluid lines and hoses from Skylight. A green reading shows when the torque is just right.

https://upskill.io/resources/blog/smart-wrenches-future-connected-tools-augmented-reality/

Smart Fault-Detection Machine for Ball-Bearing System with Chaotic Mapping Strategy
Sensors (Basel). 2019 May; 19(9): 2178
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539469/

Wemp Smart CBD Vending Machine
Wemp is a CBD product distribution machine featuring the latest technologies. With its touch screen interface it has unlimited possibilities and it allows the sale of more than 80 different products 7 days a week, 365 days a year!
https://wempvending.com/

2017



Smart Pallets
Smart Pallets Help Achieve Scalable and Flexible Manufacturing
JULY 31, 2017
Shelby Township, Michigan-based Fori Automation Inc., a specialist in automatic conveying and handling systems, is modernizing the assembly line of a large U.S. automobile plant with rail guided carts, fail-safe Siemens SIMATIC S7-1200 controllers, and IWLAN.
https://www.totallyintegratedautomation.com/2017/07/smart-pallets-help-achieve-scalable-flexible-manufacturing/

Leonardo Smart Rotational Moulding Machine
http://www.leonardosmart.com/

Smart Machine
Bringing intelligence into the milling process is the intended aim of "smart machine".

Optimization of the Machining Process

http://www.gfms.com/country_US/en/Products/Milling/smart-machine/oss.html

Patented: The Original OSS
The intelligent Operator Support System optimises the machining process according to the specifications of the workpiece. The target variables – speed, accuracy and surface quality – as well as the workpiece weight and the complexity of the machining application can be selectively defined and modified at any time via an intuitive user interface.

Setting priorities
The user can define the machine settings via the OSS, depending on the operation. He can choose from 12 predefined settings or extend them as desired.

Priority: Time

Only the time is of interest when roughing. If the operator selects the time as the highest priority, then OSS extends the tolerance band. In addition to this, the control system adapts the speed profile to the geometry that is to be processed.

Priority: Surface quality

In order to maintain the best possible surface quality despite poor NC program quality, the tolerance band is enlarged and the transitions are smoothed

Priority: Accuracy

If the workpiece demands extremely high precision, the tolerance band selected is narrower, in order to achieve the required accuracy. The control system is configured in such a way that the best possible geometrical accuracy is guaranteed.

User-defined setting

Additional settings can be saved in a library and can then be used again at any time. Several positions can be selected between the extremes (surface quality, accuracy, time).

Productivity & Precision

Your benefit
The intelligent system sets the dynamic behaviour of the machine exactly according to the workpiece requirements
Shorter machining times
Better surface quality
Intuitive handling of complex settings
Reduced complexity when setting up a workpiece
http://www.gfms.com/country_US/en/Products/Milling/smart-machine.html

2016

Cat (Caterpillar) Connect Technology: Hardware and software available for equipment to arm customers with information designed to help them optimize their operations. Specific construction technologies include:

        o  LINK, a solution that captures vital performance and product health data and makes that data available on the web to guide decision-making.

        o  GRADE and COMPACT, two productivity solutions that help operators move material faster, more accurately and with fewer passes.

        o  PAYLOAD, an on-board system for trucks and loading tools that drives higher efficiency, shorter cycle times and lower cost per ton.

http://www.caterpillar.com/en/news/corporate-press-releases/h/caterpillar-introduces-the-age-of-smart-iron-digital-technology-designed-to-transform-productivity-efficiency-and-safety-on-job-sites.html

Smart Asphalt Compaction

______________

______________
Catpaving
Caterpillar’s new B-Series tandem vibratory asphalt roller models include a range of advancements in intelligent compaction technology to deliver higher quality compaction. These models — the CB64B, CB66B, and CB68B — feature technological improvements made possible through Cat Compaction Control, Caterpillar’s intelligent compaction suite. The suite consists of dual air-purged, infrared temperature sensors that are integrated into the front and rear of the machine.
http://www.government-fleet.com/channel/equipment/article/story/2016/02/caterpillar-rolls-toward-smarter-asphalt-compaction.aspx


2015

Smart Food Processing

A Cisco project involving Sugar Creek Packing Co. , Washington Court House, Ohio is making machines and processes smarter. The company recently commissioned a brownfield project in Cambridge City, Ind., Harvesting large amounts of data and feeding it back as actionable information is used for  for establishing a high-performance work team structure at the plant. “High-performance work teams are semi-autonomous teams work with little supervision, with production, maintenance and HR issues handled by team members. They need meaningful feedback and they get it from the smart features of the system. A sous vide cooking system is an illustration of it. It is a disruptive cooking technology and a highly automated system, with hundreds of sensors to control the process. To access the data, team members use a Cisco mobile app called Jabber, “essentially an IP phone. This feature substitutes installing the system based on ordinary mobiles with a booster system that would have added $300-500 million to project cost. Jabber radios essentially function like a desk phone and integrate easily with plant software. The wireless network also will track worker locations within one meter via RFID tags embedded on protective headgear.

http://www.foodprocessing.com/articles/2015/plant-automation/?start=0


2014

“Smart” ProSlab 155 Automated Turf Harvester

National Instruments Corporation, Austin, Texas describes the machine as smart machine.

The machine uses LabVIEW software and CompactRIO hardware supplied by National Instruments. The smart machine harvests turf 20 percent faster, and uses half the diesel fuel than other turf harvesting machines on the market. It uses more electric systems. FireFly engineers can also remotely monitor, diagnose, update (and control) the sensor-laden ProSlab 155

http://fireflyequipment.com/proslab-155/

http://sine.ni.com/cs/app/doc/p/id/cs-16758
________________

________________


2013

The technologies for building a large-scale and diverse scope of smart machines are coalescing and being tested by "first movers." Once they offer significant  cost reduction and productivity improvement, companies will embrace them by employing smart machines in place of humans.

IT cost is typically about four percent of annual revenue of the companies, whereas the labor costs that can be rationalized by smart machines are as high as 40 percent of revenue in some knowledge and service industries. This gives considerable scope for deploying further IT systems.

The firms that have not begun to develop programs and policies for a "digital workforce" by 2015 will not perform in the top quartile for productivity and operating profit margin improvement in their industry by 2020. As a direct result, the careers of CIOs who do not begin to champion digital workforce initiatives with their peers in the C-suite by 2015 will be cut short by 2023.

http://www.gartner.com/newsroom/id/2605015

Books on Smart Machines

Manufacturing Intelligence for Industrial Engineering: Methods for System Self-Organization, Learning, and Adaptation: Methods for System Self-Organization, Learning, and Adaptation

Zhou, Zude
IGI Global, 31-Mar-2010 - Computers - 407 pages

The manufacturing industry has experienced dramatic change over the years with growing advancements, implementations, and applications in technology.

Manufacturing Intelligence for Industrial Engineering: Methods for System Self-Organization, Learning, and Adaptation focuses on the latest innovations for developing, describing, integrating, sharing, and processing intelligent activities in the process of manufacturing in engineering. Containing research from leading international experts, this publication provides readers with scientific foundations, theories, and key technologies of manufacturing intelligence.
https://books.google.co.in/books?id=aejvZWm2_a8C

Manufacturing in Real Time: Managers, Engineers and an Age of Smart Machines

Gian F. Frontini, Scott Kennedy, Scott L. Kennedy
Butterworth-Heinemann, 2003 - Business & Economics - 206 pages

The development of self-operating machines is the foundation of modern manufacturing. This current manufacturing environment is based on automation and smart machines that have the ability to make things with a level of accuracy and consistency that humans cannot match. In order to maximize efficiency, engineers and managers need to change their outlooks, processes and strategies and as a result, adopt new methods and management systems.

The authors demonstrate what is needed by first presenting a brief history of manufacturing and the changes we have already seen and then make their way into the current manufacturing environment. Topics covered include supply chain management, product streams, the role of automation in the supply chain, the relationships between machines and people in automated product streams (looking at what machines do best and what humans do best), variation and quality control, statistical process control, the flow of information in a supply chain and how all of these elements are effected by new technologies and need to be changed to allow for maximum efficiency as we move more toward automation in factories.

*Discover the impact of new technologies on the future shape on the manufacturing industry
*Excellent examples used throughout to demonstrate each idea and process
*Includes a CD with lectures, slides, tutorials, dynamic models and much more!
https://books.google.co.in/books?id=Cx0YriQ-7owC


Bibliography

http://www.schneider-electric.co.uk/en/download/document/170226-MSol-thought-leadership/

http://www.ni.com/en-in/innovations/transportation-and-heavy-equipment/smart-machine-control.html

High Productivity Through Smart Factories

Updated 17.9.2022,  18.7.2022, 27.5.2022,  25.2.2022, 2 Nov 2021,  11 Oct 2020,  18 Sep 2020

7 July 2019,  16 August 2017, 13 July 2017