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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    

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.

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

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 manufacturing

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 CAE 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    

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    

Smart Manufacturing for the Oil Refining and Petrochemical Industry

Zhihong Yuan,Weizhong Qin,Jinsong Zhao

Engineering 2017, Volume 3, Issue 2,   Pages 179-182 doi: 10.1016/J.ENG.2017.02.012

Abstract:

Smart manufacturing will transform the oil refining and petrochemical sector into a connected, information-drivenUsing real-time and high-value support systems, smart manufacturing enables a coordinated and performance-orientedmanufacturing enterprise that responds quickly to customer demands and minimizes energy and materialIn this paper, several examples of the application of so-called “smart manufacturing” forKey scientific factors and challenges for the further smart manufacturing of chemical and petrochemical

Keywords: Smart manufacturing     Petrochemical     Data-/information-driven environment    

The Future of Smart Process Manufacturing

Feng Qian

Engineering 2023, Volume 22, Issue 3,   Pages 20-22 doi: 10.1016/j.eng.2022.04.029

Smart Process Manufacturing for Formulated Products Perspective

James Litster, Ian David L. Bogle

Engineering 2019, Volume 5, Issue 6,   Pages 1003-1009 doi: 10.1016/j.eng.2019.02.014

Abstract:

We outline the smart manufacturing challenges for formulated products, which are typically multicomponentThis paper discusses progress in smart manufacturing—namely, digitalization and the use of large

Keywords: Smart manufacturing     Formulated products     Pharmaceuticals     Modeling     Supply chain integration     Uncertainty    

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 engineering

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

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    

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

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 increasinglyfeedback loops in which physical processes affect cyber parts and vice versa, CPS and DTs can endow manufacturing

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

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    

Smart Process Manufacturing toward Carbon Neutrality: Digital Transformation in Process Manufacturing

Feng Qian

Engineering 2023, Volume 27, Issue 8,   Pages 1-2 doi: 10.1016/j.eng.2023.07.005

Design and applications of morphing aircraft and their structures

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11465-023-0750-6

Abstract: novel applications of several technologies for morphing unmanned aerial vehicles, including additive manufacturingthe further development of active morphing aircraft, the paper reviews morphing structures driven by smart

Keywords: morphing aircraft     additive manufacturing     lattice structure     smart material     flexible structure     flexible    

Title Author Date Type Operation

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

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

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

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

Feng Qian,Weimin Zhong,Wenli Du

Journal Article

Smart Manufacturing for the Oil Refining and Petrochemical Industry

Zhihong Yuan,Weizhong Qin,Jinsong Zhao

Journal Article

The Future of Smart Process Manufacturing

Feng Qian

Journal Article

Smart Process Manufacturing for Formulated Products

James Litster, Ian David L. Bogle

Journal Article

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

Ian David Lockhart Bogle

Journal Article

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

Chao Shang、 Fengqi You

Journal Article

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

Feng Qian

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 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

Smart Process Manufacturing toward Carbon Neutrality: Digital Transformation in Process Manufacturing

Feng Qian

Journal Article

Design and applications of morphing aircraft and their structures

Journal Article