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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
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
Keywords: smart manufacturing hands-on experience engineering education mobile robot-based production line
Evaluation of the situational awareness effects for smart distribution networks under the novel
Leijiao GE, Yuanliang LI, Suxuan LI, Jiebei ZHU, Jun YAN
Frontiers in Energy 2021, Volume 15, Issue 1, Pages 143-158 doi: 10.1007/s11708-020-0703-2
Keywords: distribution networks operation and maintenance expert systems
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
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
Keywords: process industry smart and optimal manufacturing development vision scientific challenges
Feng Qian,Weimin Zhong,Wenli Du
Engineering 2017, Volume 3, Issue 2, Pages 154-160 doi: 10.1016/J.ENG.2017.02.011
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
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
An Overview of the Smart Grid in Great Britain Review
Nick Jenkins,Chao Long,Jianzhong Wu
Engineering 2015, Volume 1, Issue 4, Pages 413-421 doi: 10.15302/J-ENG-2015112
This paper presents an overview of the current status of the development of the smart grid in GreatIn particular, the Low Carbon Networks Fund and Electricity Network Innovation Competition projects,together with the rollout of smart metering, are detailed.It is found that the focus has mainly been on distribution networks as well as on real-time flows ofThe learning from the GB smart grid initiatives will provide valuable guidelines for future smart grid
Keywords: smart grid power system renewable energy Low Carbon Networks Fund smart metering
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
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
Xia Guohong,Li Bohu,Tang Xiaoqing ,Zhu Wenhai,Chai Xudong
Strategic Study of CAE 2005, Volume 7, Issue 9, Pages 49-55
Based on the theories, methods, technologies and tools of contemporary integrated manufacturing, theComplex System (Product) Integrated Manufacturing Engineering (COSIME) is presented and researched,the phased research results of six key technologies are introduced: (1) the management mode of the complexproduct integrated manufacturing system based on the theory of the ” management of person withproduct; (6) the two integrated manufacturing infrastructures for the all lifecycle activities of complex
Keywords: complex system integration manufacturing engineering virtual prototyping engineering for complex product
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
The challenges posed by smart manufacturing for the process industries and for process systems engineeringnew challenges, such as how to ensure the consistency and confidentiality of data through long and complex
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
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
Feng Qian
Engineering 2019, Volume 5, Issue 6, Pages 981-981 doi: 10.1016/j.eng.2019.10.002
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
Keywords: Industry 4.0 smart manufacturing systems Internet of Things cyber-physical systems big data analytics
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
Evaluation of the situational awareness effects for smart distribution networks under the novel
Leijiao GE, Yuanliang LI, Suxuan LI, Jiebei ZHU, Jun YAN
Journal Article
Smart Manufacturing and Intelligent Manufacturing: A Comparative Review
Baicun Wang, Fei Tao, Xudong Fang, Chao Liu, Yufei Liu, Theodor Freiheit
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
Smart Process Manufacturing for Formulated Products
James Litster, Ian David L. Bogle
Journal Article
Research and Application of Technologies for Complex System (Product) Integrated Manufacturing Engineering
Xia Guohong,Li Bohu,Tang Xiaoqing ,Zhu Wenhai,Chai Xudong
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