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Hybrid method integrating machine learning and particle swarm optimization for smart chemical processoperations

Haoqin Fang, Jianzhao Zhou, Zhenyu Wang, Ziqi Qiu, Yihua Sun, Yue Lin, Ke Chen, Xiantai Zhou, Ming Pan

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 274-287 doi: 10.1007/s11705-021-2043-0

Abstract: Modeling and optimization is crucial to smart chemical process operations.However, a large number of nonlinearities must be considered in a typical chemical process accordingto complex unit operations, chemical reactions and separations.Firstly, a data set was generated based on process mechanistic simulation validated by industrial dataFinally, optimal process operations were obtained by using the particle swarm optimization approach.

Keywords： smart chemical process operations     data generation     hybrid method     machine learning     particle swarm optimization    

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A literature review of smart warehouse operations management

Frontiers of Engineering Management 2022, Volume 9, Issue 1,   Pages 31-55 doi: 10.1007/s42524-021-0178-9

Abstract: The “smart warehouse” system, which is equipped with emerging warehousing technologies, is increasinglyThis study provides a holistic view of operations management problems within the context of smart warehousesWe provide a framework to review smart warehouse operations management based on the characteristics ofsmart warehouses, including the perspectives of information interconnection, equipment automation, processThis study could provide future research directions on smart warehouses for academia and industry practitioners

Keywords： smart warehouse     operations management     interconnection     automation     integration     sustainability    

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Operations management of smart logistics: A literature review and future research

Bo FENG,Qiwen YE

Frontiers of Engineering Management 2021, Volume 8, Issue 3,   Pages 344-355 doi: 10.1007/s42524-021-0156-2

Abstract: Thus, smart logistics has become a promising solution for handling the increasing complexity and volumeof logistics operations.communication technology, and artificial intelligence, enable more efficient functions into logistics operationsOperations management research on smart logistics mainly concerns the application of underlying technologies

Keywords： smart logistics     operations management     optimization     Internet of Things    

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Special issue on “Green chemical process and intensification”

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 11,   Pages 1533-1535 doi: 10.1007/s11705-022-2263-y

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Multiscale process systems engineering—analysis and design of chemical and energy systems from moleculardesign up to process optimization

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 137-140 doi: 10.1007/s11705-021-2135-x

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Integrating operations research into green logistics: A review

Frontiers of Engineering Management   Pages 517-533 doi: 10.1007/s42524-023-0265-1

Abstract: Operations research provides a means to balance environmental concerns and costs, thereby enhancing theThis paper presents a comprehensive review of studies integrating operations research into green logisticsThe review concludes by outlining suggestions for further research that combines green logistics and operations

Keywords： green logistics     operations research     environment     literature review    

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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:

Based on the in-depth analysis of features of the process industry, theindustry, i.e., smart and optimal manufacturing, is proposed., a smart and optimal manufacturing framework and prospects for future process enterprises are presentedMoreover, suggestions on the future development and deployment of smart and optimal manufacturing inthe process industry are offered, include emphasizing the strategic position of the process industry,

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

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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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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

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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

Abstract: In chemical product design, the aim is to formulate a product with desired performance.elucidating the dependence of product performance on ingredients, structure, and the manufacturing processproduct design can work seamlessly in a proposed performance, ingredients, structure, and manufacturing processframework for the design of structured chemical products.

Keywords： product design     performance     ingredients     structure     manufacturing process framework     structured chemical    

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Applying chemical sedimentation process in drinking water treatment plant to address the emergent arsenic

Pengfei LIN,Xiaojian ZHANG,Hongwei YANG,Yong LI,Chao CHEN

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 1,   Pages 50-57 doi: 10.1007/s11783-014-0733-2

Abstract: In response, we developed a chemical sedimentation technology to remove arsenic contaminants for waterwere conducted to investigate the efficiency of arsenic removal and the influencing factors of the chemicalsedimentation treatment process.The As(III) contaminants are more recalcitrant to chemical sedimentation, 75% for ferric coagulant and

Keywords： Arsenic spill     chemical sedimentation     coagulation     drinking water     emergency treatment    

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Physical and chemical processes of wintertime secondary nitrate aerosol formation

Qi YING

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 3,   Pages 348-361 doi: 10.1007/s11783-011-0343-1

Abstract: The UCD/CIT model was modified to include a process analysis (PA) scheme for gas and particulate matterDuring the stagnant days, process analysis indicates that the nitrate concentration in the upper air

Keywords： secondary nitrate aerosol     N2O5 heterogeneous reaction     process analysis    

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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 manufacturingThe burgeoning era of big data is influencing the process industries tremendously, providing unprecedentedopportunities to achieve smart manufacturing.

Keywords： Big data     Machine learning     Smart manufacturing     Process systems engineering    

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Recent Advances in Smart Process Manufacturing

R.N. Lumley

Engineering 2019, Volume 5, Issue 6,   Pages 993-994 doi: 10.1016/j.eng.2019.09.005

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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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Title Author Date Type Operation

Hybrid method integrating machine learning and particle swarm optimization for smart chemical processoperations

Haoqin Fang, Jianzhao Zhou, Zhenyu Wang, Ziqi Qiu, Yihua Sun, Yue Lin, Ke Chen, Xiantai Zhou, Ming Pan

Journal Article

A literature review of smart warehouse operations management

Journal Article

Operations management of smart logistics: A literature review and future research

Bo FENG,Qiwen YE

Journal Article

Special issue on “Green chemical process and intensification”

Journal Article

Multiscale process systems engineering—analysis and design of chemical and energy systems from moleculardesign up to process optimization

Journal Article

Integrating operations research into green logistics: A review

Journal Article

Smart and Optimal Manufacturing for Process Industry

Chai Tianyou, Ding Jinliang

Journal Article

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

Ian David Lockhart Bogle

Journal Article

The Future of Smart Process Manufacturing

Feng Qian

Journal Article

Computational design of structured chemical products

Faheem Mushtaq, Xiang Zhang, Ka Y. Fung, Ka M. Ng

Journal Article

Applying chemical sedimentation process in drinking water treatment plant to address the emergent arsenic

Pengfei LIN,Xiaojian ZHANG,Hongwei YANG,Yong LI,Chao CHEN

Journal Article

Physical and chemical processes of wintertime secondary nitrate aerosol formation

Qi YING

Journal Article

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

Chao Shang、 Fengqi You

Journal Article

Recent Advances in Smart Process Manufacturing

R.N. Lumley

Journal Article

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

Feng Qian

Journal Article