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

Frontiers of Engineering Management 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    

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: The 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.Second, demonstrative scenarios that pertain to smart design, smart machining, smart control, smart monitoringKey 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    

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    

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: big data analytics (BDA), and artificial intelligence (AI) have greatly stimulated the development of smartmanufacturing.An 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 (DTssystems with greater efficiency, resilience, and intelligence.

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

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

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 manufacturingis influencing the process industries tremendously, providing unprecedented opportunities to achieve smartmanufacturing.This 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    

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    

Training for smart manufacturing using a mobile robot-based production line

Shuting WANG, Liquan JIANG, Jie MENG, Yuanlong XIE, Han DING

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 249-270 doi: 10.1007/s11465-020-0625-z

Abstract: Practice experimentation that integrates the manufacturing processes and cutting-edge technologies ofsmart manufacturing (SM) is essential for future academic and applied engineering personnel.for critical thinking and problem solving so that they can deal with the difficulties that physical systems

Keywords: smart manufacturing     hands-on experience     engineering education     mobile robot-based production line    

Design and control optimization of energy systems of smart buildings today and in the near future

Shengwei WANG, Wenjie GANG

Frontiers of Engineering Management 2017, Volume 4, Issue 1,   Pages 58-66 doi: 10.15302/J-FEM-2017005

Abstract: Smart buildings with high efficiency can reduce the energy consumption largely and help achieve greencities or smart cities.Design and control optimization of building energy systems therefore plays a significant role to obtainThe control strategies for chillers, pumps and fresh air systems are optimized.and promote the development of smart buildings and smart cities.

Keywords: Design optimization     Optimal control     Smart building     Energy efficiency    

Human-Centered Intelligent Manufacturing: Overview and Perspectives

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

Strategic Study of Chinese Academy of Engineering 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)    

Smart Manufacturing and Intelligent Manufacturing: A Comparative Review Review

Baicun Wang, Fei Tao, Xudong Fang, Chao Liu, Yufei Liu, Theodor Freiheit

Engineering 2021, Volume 7, Issue 6,   Pages 738-757 doi: 10.1016/j.eng.2020.07.017

Abstract:

The application of intelligence to manufacturing has emerged as a compelling topic for researchersHowever, different terminologies, namely smart manufacturing (SM) and intelligent manufacturing (IM),to merge both terminologies rises in Industry 4.0 as intelligence is being rapidly applied to modern manufacturingand human–cyber–physical systems.

Keywords: Smart manufacturing     Intelligent manufacturing     Industry 4.0     Human–cyber–physical system (HCPS)    

Smart and Optimal Manufacturing for Process Industry

Chai Tianyou, Ding Jinliang

Strategic Study of Chinese Academy of Engineering 2018, Volume 20, Issue 4,   Pages 51-58 doi: 10.15302/J-SSCAE-2018.04.009

Abstract: process industry, the state of art of its operation control, and the global development of intelligent manufacturing, a new mode of intelligent manufacturing for the process industry, i.e., smart and optimal manufacturingcontrol system) and the control and management informatization system adopted by process enterprises, a smartand optimal manufacturing framework and prospects for future process enterprises are presented, followedMoreover, suggestions on the future development and deployment of smart and optimal manufacturing in

Keywords: process industry     smart and optimal manufacturing     development vision     scientific challenges    

Reliability evaluation of future photovoltaic systems with smart operation strategy

Amir AHADI,Hosein HAYATI,Seyed Mohsen MIRYOUSEFI AVAL

Frontiers in Energy 2016, Volume 10, Issue 2,   Pages 125-135 doi: 10.1007/s11708-015-0392-4

Abstract: The implementations demonstrate that it is essential to employ smart maintenance plans and monitor theThen, an innovative analytical method based on the Markov process is presented to model smart operationplans in PV systems.The impact of smart operation strategy on the PV systems is then evaluated.A series of case studies have been conducted to demonstrate the importance of smart operation strategies

Keywords: smart operation strategy     renewable energy     fault tree analysis (FTA)     Markov model    

Fundamental Theories and Key Technologies for Smart and Optimal Manufacturing in the Process Industry

Feng Qian,Weimin Zhong,Wenli Du

Engineering 2017, Volume 3, Issue 2,   Pages 154-160 doi: 10.1016/J.ENG.2017.02.011

Abstract: To promote a vision of the process industry with efficient, green, and smart production, modern informationTo focus on smart equipment in manufacturing processes, as well as on the adaptive intelligent optimizationof the manufacturing process, operating mode, and supply chain management, we put forward several keylimitations and core scientific problems, we further present fundamental theories and key technologies for smartand optimal manufacturing in the process industry.

Keywords: Process industry     Smart and optimal manufacturing     Green manufacturing     High-end manufacturing     Optimality    

System resilience enhancement: Smart grid and beyond

Gang HUANG, Jianhui WANG, Chen CHEN, Chuangxin GUO, Bingquan ZHU

Frontiers of Engineering Management 2017, Volume 4, Issue 3,   Pages 271-282 doi: 10.15302/J-FEM-2017030

Abstract: Boosting the resilience of power systems is a core requirement of smart grids.In fact, resilience enhancement is crucial to all critical infrastructure systems.In this study, we review the current research on system resilience enhancement within and beyond smart

Keywords: critical infrastructure     cyber-physical systems     energy systems     resilience     smart grid    

Title Author Date Type Operation

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

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

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

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

Feng Qian

Journal Article

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

Chao Shang、 Fengqi You

Journal Article

Reconfigurable manufacturing systems: Principles, design, and future trends

Yoram KOREN, Xi GU, Weihong GUO

Journal Article

Training for smart manufacturing using a mobile robot-based production line

Shuting WANG, Liquan JIANG, Jie MENG, Yuanlong XIE, Han DING

Journal Article

Design and control optimization of energy systems of smart buildings today and in the near future

Shengwei WANG, Wenjie GANG

Journal Article

Human-Centered Intelligent Manufacturing: Overview and Perspectives

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

Journal Article

Smart Manufacturing and Intelligent Manufacturing: A Comparative Review

Baicun Wang, Fei Tao, Xudong Fang, Chao Liu, Yufei Liu, Theodor Freiheit

Journal Article

Smart and Optimal Manufacturing for Process Industry

Chai Tianyou, Ding Jinliang

Journal Article

Reliability evaluation of future photovoltaic systems with smart operation strategy

Amir AHADI,Hosein HAYATI,Seyed Mohsen MIRYOUSEFI AVAL

Journal Article

Fundamental Theories and Key Technologies for Smart and Optimal Manufacturing in the Process Industry

Feng Qian,Weimin Zhong,Wenli Du

Journal Article

System resilience enhancement: Smart grid and beyond

Gang HUANG, Jianhui WANG, Chen CHEN, Chuangxin GUO, Bingquan ZHU

Journal Article