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Reconfigurable manufacturing systems: Principles, design, and future trends

Yoram KOREN, Xi GU, Weihong GUO

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2,   Pages 121-136 doi: 10.1007/s11465-018-0483-0

Abstract:

Reconfigurable manufacturing systems (RMSs), which possess the advantages of both dedicated seriallines and flexible manufacturing systems, were introduced in the mid-1990s to address the challengesThe principal goal of an RMS is to enhance the responsiveness of manufacturing systems to unforeseenRMSs are cost-effective because they boost productivity, and increase the lifetime of the manufacturingFinally, we propose future research directions, and deliberate on how recent intelligent manufacturing

Keywords： reconfigurable manufacturing systems     responsiveness     intelligent manufacturing    

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Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives

Pai ZHENG, Honghui WANG, Zhiqian SANG, Ray Y. ZHONG, Yongkui LIU, Chao LIU, Khamdi MUBAROK, Shiqiang YU, Xun XU

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2,   Pages 137-150 doi: 10.1007/s11465-018-0499-5

Abstract: worlds through cyber-physical systems (CPS), which mark the advent of the fourth stage of industrialThe widespread application of CPS in manufacturing environments renders manufacturing systems increasinglyTo advance research on the implementation of Industry 4.0, this study examines smart manufacturing systemsFirst, a conceptual framework of smart manufacturing systems for Industry 4.0 is presented.Key technologies and their possible applications to Industry 4.0 smart manufacturing systems are reviewed

Keywords： Industry 4.0     smart manufacturing systems     Internet of Things     cyber-physical systems     big data analytics    

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Service-oriented manufacturing: A literature review and future research directions

Frontiers of Engineering Management 2022, Volume 9, Issue 1,   Pages 71-88 doi: 10.1007/s42524-021-0171-3

Abstract: This study presents a systematic review of the literature on service-oriented manufacturing (SOM).

Keywords： service-oriented manufacturing     product– service systems     servitization     servicing     operations mana-    

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Exploring self-organization and self-adaption for smart manufacturing complex networks

Frontiers of Engineering Management 2023, Volume 10, Issue 2,   Pages 206-222 doi: 10.1007/s42524-022-0225-1

Abstract: Trends toward the globalization of the manufacturing industry and the increasing demands for small-batchenvironments, which poses great challenges to manufacturing enterprises.status data and building cyber–physical systems for smart, flexible, and resilient manufacturing systemsSpecifically, a general model of smart manufacturing complex networks is constructed using scale-freeMoreover, the capabilities of physical manufacturing resources are encapsulated into virtual manufacturing

Keywords： cyber–physical systems     Industrial Internet of Things     smart manufacturing complex networks     self-organization    

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Smart Process Manufacturing Systems: Deep Integration of Artificial Intelligence and Process Manufacturing

Feng Qian

Engineering 2019, Volume 5, Issue 6,   Pages 981-981 doi: 10.1016/j.eng.2019.10.002

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A Perspective on Smart Process Manufacturing Research Challenges for Process Systems Engineers

Ian David Lockhart Bogle

Engineering 2017, Volume 3, Issue 2,   Pages 161-165 doi: 10.1016/J.ENG.2017.02.003

Abstract:

The challenges posed by smart manufacturing for the process industries and for process systems engineeringTechnical challenges confronting process systems engineers in developing enabling tools and techniques

Keywords： Smart manufacturing     Process systems engineering     Uncertainty     Flexibility     Optimization     Model-based control    

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Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Article

Fei Tao, Qinglin Qi, Lihui Wang, A.Y.C. Nee

Engineering 2019, Volume 5, Issue 4,   Pages 653-661 doi: 10.1016/j.eng.2019.01.014

Abstract: analytics (BDA), and artificial intelligence (AI) have greatly stimulated the development of smart manufacturingAn important prerequisite for smart manufacturing is cyber–physical integration, which is increasinglyAs the preferred means of such integration, cyber–physical systems (CPS) and digital twins (DTsfeedback loops in which physical processes affect cyber parts and vice versa, CPS and DTs can endow manufacturingsystems with greater efficiency, resilience, and intelligence.

Keywords： Cyber–physical systems (CPS)     Digital twin (DT)     Smart manufacturing     Correlation and comparison    

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Intelligent Manufacturing in the Context of Industry 4.0: A Review

Ray Y. Zhong, Xun Xu, Eberhard Klotz, Stephen T. Newman

Engineering 2017, Volume 3, Issue 5,   Pages 616-630 doi: 10.1016/J.ENG.2017.05.015

Abstract: next generation of industry—Industry 4.0—holds the promise of increased flexibility in manufacturingIntelligent manufacturing plays an important role in Industry 4.0.a comprehensive review of associated topics such as intelligent manufacturing, Internet of Things (IoT)- enabled manufacturing, and cloud manufacturing.We also review key technologies such as the IoT, cyber-physical systems (CPSs), cloud computing, big

Keywords： Intelligent manufacturing     Industry 4.0     Internet of Things     Manufacturing systems     Cloud manufacturing     Cyber-physical    

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Human-Centered Intelligent Manufacturing: Overview and Perspectives

Wang Baicun,Xue Yuan, Yan Jianlin,Yang Xiaoying,Zhou Yuan

Strategic Study of CAE 2020, Volume 22, Issue 4,   Pages 139-146 doi: 10.15302/J-SSCAE-2020.04.020

Abstract:

Human is the most dynamic factor in a manufacturing system; no matterhow advanced intelligent manufacturing would be, it should meet humans’ needs and serve for aBased on the theory of human–cyber–physical systems (HCPS) in the context of intelligentmanufacturing, the concept of human-centered intelligent manufacturing (HCIM) is firstly proposed insystems.

Keywords： human-centered     new-generation intelligent/smart manufacturing     human–cyber–physical systems (HCPS)     humancentered intelligent manufacturing (HCIM)    

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Data Analytics and Machine Learning for Smart Process Manufacturing: Recent Advances and Perspectives Perspective

Chao Shang、 Fengqi You

Engineering 2019, Volume 5, Issue 6,   Pages 1010-1016 doi: 10.1016/j.eng.2019.01.019

Abstract:

Safe, efficient, and sustainable operations and control are primary objectives in industrial manufacturinginfluencing the process industries tremendously, providing unprecedented opportunities to achieve smart manufacturingThis kind of manufacturing requires machines to not only be capable of relieving humans from intensive

Keywords： Big data     Machine learning     Smart manufacturing     Process systems engineering    

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Fog-IBDIS: Industrial Big Data Integration and Sharing with Fog Computing for Manufacturing Systems Article

Junliang Wang, Peng Zheng, Youlong Lv, Jingsong Bao, Jie Zhang

Engineering 2019, Volume 5, Issue 4,   Pages 662-670 doi: 10.1016/j.eng.2018.12.013

Abstract: and sharing (IBDIS) is of great significance in managing and providing data for big data analysis in manufacturingsystems.

Keywords： Fog computing     Industrial big data     Integration     Manufacturing system    

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Cyber-Physical Production Systems for Data-Driven, Decentralized, and Secure Manufacturing—A Perspective Perspective

Manu Suvarna, Ken Shaun Yap, Wentao Yang, Jun Li, Yen Ting Ng, Xiaonan Wang

Engineering 2021, Volume 7, Issue 9,   Pages 1212-1223 doi: 10.1016/j.eng.2021.04.021

Abstract:

With the concepts of Industry 4.0 and smart manufacturing gaining popularity, there is a growing notion, automation, better response to customer needs, and intelligent systems., decentralized manufacturing, and integrated blockchains for data security.In turn, automated manufacturing will pave the way for the decentralization of manufacturing.CPPS will ensure the reliability and security of data sharing and integration across decentralized systems

Keywords： Smart manufacturing     Cyber-physical production systems     Industrial Internet of Things     Data analytics    

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Managing obsolescence of embedded hardware and software in secure and trusted systems

Zachary A. COLLIER, James H. LAMBERT

Frontiers of Engineering Management 2020, Volume 7, Issue 2,   Pages 172-181 doi: 10.1007/s42524-019-0032-5

Abstract: Obsolescence of integrated systems which contain hardware and software is a problem that affects multipleIt is especially acute in products and systems that have long life cycles, where a high rate of technologicalinnovation of the subcomponents result in a mismatch in life cycles between the components and the systemsdecision analysis to investigate how particular scenarios influence priority setting for products and systemsscholars and practitioners engaged with enterprise risk management and similar challenges of large-scale systems

Keywords： enterprise risk management     diminishing manufacturing sources and material shortages     scenario-based preferences     systems engineering     deep uncertainty     product life cycle    

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Human–Cyber–Physical Systems (HCPSs) in the Context of New-Generation Intelligent Manufacturing Perspective

Zhou Ji, Zhou Yanhong, Wang Baicun, Zang Jiyuan

Engineering 2019, Volume 5, Issue 4,   Pages 624-636 doi: 10.1016/j.eng.2019.07.015

Abstract:

An intelligent manufacturing system is a composite intelligent system comprising humans, cyber systems, and physical systems with the aim of achieving specific manufacturing goals at an optimized level.It can be concluded that the essence of intelligent manufacturing is to design, construct, and applymanufacturing and digital-networked manufacturing, and is evolving toward new-generation intelligentmanufacturing (NGIM).

Keywords： New-generation intelligent manufacturing     Human–cyber–physical system     Human–physical system     Cyber–physicalsystem     Knowledge engineering     Enabling technology     Manufacturing domain technology     New-generation artificial    

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Research on New-Generation Intelligent Manufacturing based on Human-Cyber-Physical Systems

Wang Baicun, Zang Jiyuan, Qu Xianming , Dong Jingchen, Zhou Yanhong

Strategic Study of CAE 2018, Volume 20, Issue 4,   Pages 29-34 doi: 10.15302/J-SSCAE-2018.04.006

Abstract: from the aspects of problems and challenges of the manufacturing industry, major opportunities broughtof development from traditional manufacturing to intelligent manufacturing is also a process of developmentfrom the original human-physical systems (HPS) to a human-cyber-physical systems (HCPS).for supporting the development of the new-generation intelligent manufacturing.the manufacturing sector and to human society.

Keywords： new-generation intelligent manufacturing     new generation of artificial intelligence     HCPS     system integration    

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Title Author Date Type Operation

Reconfigurable manufacturing systems: Principles, design, and future trends

Yoram KOREN, Xi GU, Weihong GUO

Journal Article

Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives

Pai ZHENG, Honghui WANG, Zhiqian SANG, Ray Y. ZHONG, Yongkui LIU, Chao LIU, Khamdi MUBAROK, Shiqiang YU, Xun XU

Journal Article

Service-oriented manufacturing: A literature review and future research directions

Journal Article

Exploring self-organization and self-adaption for smart manufacturing complex networks

Journal Article

Smart Process Manufacturing Systems: Deep Integration of Artificial Intelligence and Process Manufacturing

Feng Qian

Journal Article

A Perspective on Smart Process Manufacturing Research Challenges for Process Systems Engineers

Ian David Lockhart Bogle

Journal Article

Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and

Fei Tao, Qinglin Qi, Lihui Wang, A.Y.C. Nee

Journal Article

Intelligent Manufacturing in the Context of Industry 4.0: A Review

Ray Y. Zhong, Xun Xu, Eberhard Klotz, Stephen T. Newman

Journal Article

Human-Centered Intelligent Manufacturing: Overview and Perspectives

Wang Baicun,Xue Yuan, Yan Jianlin,Yang Xiaoying,Zhou Yuan

Journal Article

Data Analytics and Machine Learning for Smart Process Manufacturing: Recent Advances and Perspectives

Chao Shang、 Fengqi You

Journal Article

Fog-IBDIS: Industrial Big Data Integration and Sharing with Fog Computing for Manufacturing Systems

Junliang Wang, Peng Zheng, Youlong Lv, Jingsong Bao, Jie Zhang

Journal Article

Cyber-Physical Production Systems for Data-Driven, Decentralized, and Secure Manufacturing—A Perspective

Manu Suvarna, Ken Shaun Yap, Wentao Yang, Jun Li, Yen Ting Ng, Xiaonan Wang

Journal Article

Managing obsolescence of embedded hardware and software in secure and trusted systems

Zachary A. COLLIER, James H. LAMBERT

Journal Article

Human–Cyber–Physical Systems (HCPSs) in the Context of New-Generation Intelligent Manufacturing

Zhou Ji, Zhou Yanhong, Wang Baicun, Zang Jiyuan

Journal Article

Research on New-Generation Intelligent Manufacturing based on Human-Cyber-Physical Systems

Wang Baicun, Zang Jiyuan, Qu Xianming , Dong Jingchen, Zhou Yanhong

Journal Article