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Synergistic optimization framework for the process synthesis and design of biorefineries
Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2, Pages 251-273 doi: 10.1007/s11705-021-2071-9
Keywords: biotechnology surrogate modelling superstructure optimization simulation-based optimization process
Computational design of structured chemical products
Faheem Mushtaq, Xiang Zhang, Ka Y. Fung, Ka M. Ng
Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 5, Pages 1033-1049 doi: 10.1007/s11705-020-2002-1
Keywords: product design performance ingredients structure manufacturing process framework structured chemical
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 framework
General framework for bridge life cycle design
Junhai MA, Airong CHEN, Jun HE
Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 1, Pages 50-56 doi: 10.1007/s11709-009-0004-7
Keywords: bridge whole life design design phase design process general framework
Hierarchical modeling of stochastic manufacturing and service systems
Zhe George ZHANG, Xiaoling YIN
Frontiers of Engineering Management 2017, Volume 4, Issue 3, Pages 295-303 doi: 10.15302/J-FEM-2017047
Keywords: stochastic modeling QBD process PH distribution heavy traffic limits diffusion process
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 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
Engineering 2023, Volume 27, Issue 8, Pages 1-2 doi: 10.1016/j.eng.2023.07.005
Shuai Mao, Bing Wang, Yang Tang, Feng Qian
Engineering 2019, Volume 5, Issue 6, Pages 995-1002 doi: 10.1016/j.eng.2019.08.013
Smart manufacturing is critical in improving the quality of the process industry.In smart manufacturing, there is a trend to incorporate different kinds of new-generation informationtechnologies into process-safety analysis.At present, green manufacturing is facing major obstacles related to safety management, due to the usagescarce labels for process safety; ② knowledge-based reasoning for process safety; ③ accurate fusion
Keywords: Process industry Smart manufacturing Green manufacturing Artificial intelligence
Feng Qian
Engineering 2019, Volume 5, Issue 6, Pages 981-981 doi: 10.1016/j.eng.2019.10.002
Discussion on advanced manufacturing
WANG Xiankui
Frontiers of Mechanical Engineering 2007, Volume 2, Issue 3, Pages 251-262 doi: 10.1007/s11465-007-0044-4
Keywords: development national manufacturing process support environment mechanical manufacturing
Equipment–process–strategy integration for sustainable machining: a review
Frontiers of Mechanical Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11465-023-0752-4
Keywords: sustainable machining equipment process strategy manufacturing
Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 9, Pages 1280-1288 doi: 10.1007/s11705-023-2301-4
Keywords: ethylene glycol redistribution heat integration optimization parallel framework
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 engineeringTechnical challenges confronting process systems engineers in developing enabling tools and techniques
Keywords: Smart manufacturing Process systems engineering Uncertainty Flexibility Optimization Model-based control
Process Planning Support System for Green Manufacturing and its application
HE Yan, LIU Fei, CAO Huajun, ZHANG Hua
Frontiers of Mechanical Engineering 2007, Volume 2, Issue 1, Pages 104-109 doi: 10.1007/s11465-007-0018-6
Keywords: environment selection GMPPSS consumption database
Title Author Date Type Operation
Synergistic optimization framework for the process synthesis and design of biorefineries
Journal Article
Computational design of structured chemical products
Faheem Mushtaq, Xiang Zhang, Ka Y. Fung, Ka M. Ng
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
Hierarchical modeling of stochastic manufacturing and service systems
Zhe George ZHANG, Xiaoling YIN
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 Process Manufacturing toward Carbon Neutrality: Digital Transformation in Process Manufacturing
Feng Qian
Journal Article
Opportunities and Challenges of Artificial Intelligence for Green Manufacturing in the Process Industry
Shuai Mao, Bing Wang, Yang Tang, Feng Qian
Journal Article
Smart Process Manufacturing Systems: Deep Integration of Artificial Intelligence and Process Manufacturing
Feng Qian
Journal Article
Optimization and simultaneous heat integration design of a coal-based ethylene glycol refining process
Journal Article
A Perspective on Smart Process Manufacturing Research Challenges for Process Systems Engineers
Ian David Lockhart Bogle
Journal Article