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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

Abstract: This paper presents a review of methodologies for analyzing stochastic manufacturing and service systemsMicro-scopic models are based on quasi-birth-and-death process because of the phase-type distributedSuch models are appropriate for modeling the detailed operations of a manufacturing system with relativelyselect the appropriate level of modeling to enhance their understanding of the dynamic behavior of manufacturingResearchers in operation analytics and optimization of manufacturing and logistics also benefit from

Keywords： stochastic modeling     QBD process     PH distribution     heavy traffic limits     diffusion process    

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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 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 keyscientific problems, we further present fundamental theories and key technologies for smart and optimal manufacturingin the process industry.to the process industry around the world.

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

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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: state of art of its operation control, and the global development of intelligent manufacturing, a newmode of intelligent manufacturing for the process industry, i.e., smart and optimal manufacturing, isadopted by process enterprises, a smart and optimal manufacturing framework and prospects for futurefor the successful deployment of intelligent manufacturing in the process industry.the 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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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

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Opportunities and Challenges of Artificial Intelligence for Green Manufacturing in the Process Industry

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

Abstract:

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    

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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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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

Abstract: Advanced manufacturing consists of continuity of manufacturing, its broad sense, and the core of themanufacturing process.Manufacturing is a continuously evolving topic.The broad sense of manufacturing theory, which extends the concept of manufacturing, is an importantAt the same time, the core action and the development of the theory and technology of process is also

Keywords： development     national     manufacturing process     support environment     mechanical manufacturing    

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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

Abstract: Although the manufacturing industry has improved the quality of processing, optimization and upgradingThus, this study explores the sustainability of machining from the aspects of equipment, process, andIn particular, the equipment, process, and strategy of sustainable machining are systematically analyzedsustainable machining are also analyzed from the aspects of energy-saving control, machining simulation, and process

Keywords： sustainable machining     equipment     process     strategy     manufacturing    

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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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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

Abstract: Owing to a lack of practical methods and software tools in the existing researches on green manufacturing(GM), process planning support system for green manufacturing (GMPPSS) was developed to deal with theproblems in optimization of environment-benign process planning.elements, optimization of process courses, and evaluation of process projects for GM.GMPPSS was used to provide plentiful information on resources consumption and environmental impact in manufacturing

Keywords： environment     selection     GMPPSS     consumption     database    

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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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Toward the development of process plans with reduced environmental impacts

Fu ZHAO, Vance R. MURRAY, Karthik RAMANI, John W. SUTHERLAND

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 3,   Pages 231-246 doi: 10.1007/s11465-012-0334-3

Abstract:

Manufacturing process planning serves as a pivotal link between design and manufacturing.with manufacturing.The method begins with an existing process plan, and then identifies impactful process steps, and associateddesign features, in terms of manufacturing cost and environmental impact.with respect to manufacturing cost and environmental impact objectives to produce a Pareto frontier.

Keywords： process planning     life cycle assessment (LCA)     sustainable manufacturing     prosthetic hip shell    

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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.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    

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A novel model for assessing the degree of intelligent manufacturing readiness in the process industry: process-industry intelligent manufacturing readiness index (PIMRI) Research Article

Lujun ZHAO, Jiaming SHAO, Yuqi QI, Jian CHU, Yiping FENG

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 3,   Pages 417-432 doi: 10.1631/FITEE.2200080

Abstract: implementation of has become a new tendency, and it brings both opportunities and challenges to worldwide manufacturingThus, many manufacturing companies are attempting to find advanced technologies to launch transformationFurthermore, these 25 domains are divided into 249 characteristic items to evaluate the manufacturingA questionnaire is also designed based on the proposed model to help process-industry companies easilyOverall, the proposed model provides a new way to assess the degree of readiness for process-industry

Keywords： Process industry     Industry 4.0     Readiness model     Intelligent manufacturing     Readiness index    

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Editorial for Special Issue “Artificial Intelligence Energizes Process Manufacturing”

Feng Qian

Engineering 2021, Volume 7, Issue 9,   Pages 1193-1194 doi: 10.1016/j.eng.2021.08.003

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Title Author Date Type Operation

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 and Optimal Manufacturing for Process Industry

Chai Tianyou, Ding Jinliang

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

Discussion on advanced manufacturing

WANG Xiankui

Journal Article

Equipment–process–strategy integration for sustainable machining: a review

Journal Article

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

Ian David Lockhart Bogle

Journal Article

Process Planning Support System for Green Manufacturing and its application

HE Yan, LIU Fei, CAO Huajun, ZHANG Hua

Journal Article

The Future of Smart Process Manufacturing

Feng Qian

Journal Article

Toward the development of process plans with reduced environmental impacts

Fu ZHAO, Vance R. MURRAY, Karthik RAMANI, John W. SUTHERLAND

Journal Article

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

Chao Shang、 Fengqi You

Journal Article

A novel model for assessing the degree of intelligent manufacturing readiness in the process industry: process-industry intelligent manufacturing readiness index (PIMRI)

Lujun ZHAO, Jiaming SHAO, Yuqi QI, Jian CHU, Yiping FENG

Journal Article

Editorial for Special Issue “Artificial Intelligence Energizes Process Manufacturing”

Feng Qian

Journal Article