2013
The Dawn of the Smart Factory
Travis M. Hessman
FEB 14, 2013
Siemens Electronic Works - Amberg, Germany - Illustration of a High-mix, Low-volume facility
The Siemens (IW 1000/34) Electronic Works facility in Amberg, Germany, is a plant straight out of that dream. The immaculate, 108,000-square-foot high-tech facility vibrates with efficient, digital wonder as its smart machines coordinate the production and global distribution of the company’s Simatic control devices -- a custom, built-to-order process involving more than 1.6 billion components for over 50,000 annual product variations, for which Siemens sources about 10,000 materials from 250 suppliers to make the plant’s 950 different products.
2017
2017
Smart factory is a key concept that emerged in developments based on the vision of Industry 4.0. It utilises a set of advanced technologies (including Internet of Things (IoT), cyber physical systems (CPS), cloud computing, big data and artificial intelligence) to enable peer-to-peer communication and negotiation between machines, systems and products, as well as to respond to constantly growing amount of data generated in manufacturing processes (Davis et al., 2015). As a result, smart factory addresses vertical integration of different components and facilitates the factory to reconfigure itself for flexible production of different types of products (Lopez Research, 2014).
Smart factory is a term used to describe industrial operation improvements through integration and automation of production systems, linking physical and cyber capabilities, and maximising data power including the leverage of big data evolution (Moyne and Iskandar, 2017).
By applying IoT technologies (e.g. wireless sensors, RFID tags, CPS, etc.), smart factory can monitor real-time machine processes in the production line, create a virtual copy of its physical world and finally lead to a shift from centralised control system to new forms of decentralised, distributed and autonomous control and operations (Zhong et al., 2017).
Companies initiating smart factory innovation seek to obtain competitive advantages through adopting and applying cutting-edge information technologies (Kang et al., 2016).
This brings in many benefits including flexibility (Veza et al., 2015), productivity and resource efficiency (furthermore, Kolberg and Zühlke, 2015).
In organisational practice, pioneers and practitioners pursuing leading-edge smart factory initiatives are actively leveraging big data solutions like SAP Hana for optimising operations and automation on a real-time basis (Zhong et al., 2016).
A review of the literature on smart factory showed that current research studies on smart factory could be categorised into three streams.
The first stream concentrated on proposing general system architectures and engineering solutions by analysing the requirements of smart factory, in order to bring smart factory from a concept into technical practice (e.g. Lee et al., 2015; Lin et al., 2018).
The second set of research is focused on pilot applications and technical prototypes of smart factory in particular industries, such as automobile and aircraft manufacturing industry (e.g. Zhong et al., 2016), petrochemical industry (e.g. Li, 2016; Yuan et al., 2017) and green energy industry (e.g. Shrouf et al., 2014).
The third group of studies attempted to explore potential challenges and risks associated with smart factory more from a specific perspective, e.g. information security issues (Lasi et al., 2014) and information access and process issues (Dhungana et al., 2015).
Source
Shuyang Li, Guo Chao Peng and Fei Xing (2019) "Barriers of embedding big data solutions in smart factories: insights from SAP consultants", Industrial Management & Data Systems, Vol. 119 No. 5, pp. 1147-1164
https://www.emerald.com/insight/content/doi/10.1108/IMDS-11-2018-0532/full/html
Smart factory is a key concept that emerged in developments based on the vision of Industry 4.0. It utilises a set of advanced technologies (including Internet of Things (IoT), cyber physical systems (CPS), cloud computing, big data and artificial intelligence) to enable peer-to-peer communication and negotiation between machines, systems and products, as well as to respond to constantly growing amount of data generated in manufacturing processes (Davis et al., 2015). As a result, smart factory addresses vertical integration of different components and facilitates the factory to reconfigure itself for flexible production of different types of products (Lopez Research, 2014).
Smart factory is a term used to describe industrial operation improvements through integration and automation of production systems, linking physical and cyber capabilities, and maximising data power including the leverage of big data evolution (Moyne and Iskandar, 2017).
By applying IoT technologies (e.g. wireless sensors, RFID tags, CPS, etc.), smart factory can monitor real-time machine processes in the production line, create a virtual copy of its physical world and finally lead to a shift from centralised control system to new forms of decentralised, distributed and autonomous control and operations (Zhong et al., 2017).
Companies initiating smart factory innovation seek to obtain competitive advantages through adopting and applying cutting-edge information technologies (Kang et al., 2016).
This brings in many benefits including flexibility (Veza et al., 2015), productivity and resource efficiency (furthermore, Kolberg and Zühlke, 2015).
In organisational practice, pioneers and practitioners pursuing leading-edge smart factory initiatives are actively leveraging big data solutions like SAP Hana for optimising operations and automation on a real-time basis (Zhong et al., 2016).
A review of the literature on smart factory showed that current research studies on smart factory could be categorised into three streams.
The first stream concentrated on proposing general system architectures and engineering solutions by analysing the requirements of smart factory, in order to bring smart factory from a concept into technical practice (e.g. Lee et al., 2015; Lin et al., 2018).
The second set of research is focused on pilot applications and technical prototypes of smart factory in particular industries, such as automobile and aircraft manufacturing industry (e.g. Zhong et al., 2016), petrochemical industry (e.g. Li, 2016; Yuan et al., 2017) and green energy industry (e.g. Shrouf et al., 2014).
The third group of studies attempted to explore potential challenges and risks associated with smart factory more from a specific perspective, e.g. information security issues (Lasi et al., 2014) and information access and process issues (Dhungana et al., 2015).
Source
Shuyang Li, Guo Chao Peng and Fei Xing (2019) "Barriers of embedding big data solutions in smart factories: insights from SAP consultants", Industrial Management & Data Systems, Vol. 119 No. 5, pp. 1147-1164
https://www.emerald.com/insight/content/doi/10.1108/IMDS-11-2018-0532/full/html
2020
Implementing the smart factory: New perspectives for driving value
By Gérald Faustino, National Leader, Aerospace & Defence, Deloitte Canada
27 Jul. 2020
86 percent of surveyed manufacturers say smart factories will be the main driver of competitiveness in five years. Only five percent operate a fully converted facility. (It means companies are receptive to listen to proposals of consultants, hardware suppliers and software suppliers.)
2021
Appropriate Smart Factory for SMEs: Concept, Application and Perspective (Interesting and appropriate paper)
Woo-Kyun Jung et al.
International Journal of Precision Engineering and Manufacturing volume 22, pages201–215 (2021)
Open Access
A vision based quality arrangement (Illustration of low cost smart system)
Hardware Configuration
The Raspberry Pi was selected as the IoT computer, because it is relatively inexpensive and can satisfy the requirements. The work conducted on the sewing machine was filmed using a small camera. Then, after image processing and fault detection on a small computer, an alarm was sounded by the appropriate IoT in the case of a defect.
Software Configuration
The sewing inspection algorithm was designed to be run at a small-data level using a small IoT computer. Algorithms were established for processing and judging image data collected from the hardware using OpenCV and Python, which are open-source solutions for image processing.
The complete system, including a computing unit and cameras, can be configured for ≤ 170 USD.
Smart automation
Innovate through smart automation for all your manufacturing needs. Connect machines and processes from the engineering stage all the way to the shop floor and beyond. Automate your shop floor to run at maximum output and efficiency, saving you time, reducing cost, and maximizing your labor force.
Smart Factory at Audi
Good information on Audi's initiatives and progress
01/22/2021
Jan 21, 2021
Smart Factory Transformation: The Time Is Now
Vincent Rutgers, Deloitte
Smart Manufacturing Platform Market
Smart Manufacturing Platform Market with COVID-19 Impact by Type (Device Management, Connectivity Management, Application Enablement Platform), Application (Performance, Optimization, Asset & Condition Monitoring), Industry, Region - Global Forecast to 2026
https://www.marketsandmarkets.com/Market-Reports/smart-manufacturing-platform-market-66129711.html
https://www.marketsandmarkets.com/PressReleases/smart-manufacturing-platform.asp
https://www.persistencemarketresearch.com/market-research/smart-manufacturing-platform-market.asp
Open Access
Six-Gear Roadmap towards the Smart Factory
by Amr T. Sufian 1,*,Badr M. Abdullah, Muhammad Ateeq, Roderick Wah and David Clements 2
Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool L3 3AF, UK
Beverston Engineering Ltd., Prescot L34 9AB, UK
Appl. Sci. 2021, 11(8), 3568; https://doi.org/10.3390/app11083568
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SAP Insights - Benefit of a smart factory?
ReplyDeleteIn their 2019 smart factory study, Deloitte tells us that “Companies report up to 12% gains in areas like manufacturing output, factory utilization, and labor productivity after they invested in smart factory initiatives. Moreover, manufacturers with smart factories will likely surpass traditional factories with 30% higher net labor productivity by 2030.”
https://www.sap.com/insights/what-is-a-smart-factory.html
Cloud Based Monitoring Software
ReplyDeleteIndustry 4.0 solutions for smart manufacturing redefine efficiency by merging IoT connectivity and real-time analytics, propelling factories towards data-driven excellence. Embracing Industry 4.0 transforms production lines into agile, proactive ecosystems, optimizing operations and minimizing downtime. Industry 4.0 solutions for smart manufacturing are transforming the industrial landscape, offering unprecedented opportunities for businesses to improve efficiency, quality, and sustainability
ReplyDelete