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Introduction to the special issue on the 2015 Workshop on History of Mechanism and Machine Science

Marco CECCARELLI

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 1,   Pages 1-2 doi: 10.1007/s11465-016-0379-9

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Paths for the Digital Transformation and Intelligent Upgrade of China’s Discrete Manufacturing Industry

Li Xinyu, Li Zhaofu, Gao Liang

Strategic Study of CAE 2022, Volume 24, Issue 2,   Pages 64-74 doi: 10.15302/J-SSCAE-2022.02.008

Abstract:

The discrete manufacturing industry in China is currently being transformed and upgraded. Digital transformation and intelligent upgrade is an inevitable choice for China’s discrete manufacturing industry, as intelligent manufacturing can promote the quality, efficiency, and competitiveness of discrete manufacturing. The sub-sectors of discrete manufacturing in China differs significantly and requires diversified paths for digital transformation and intelligent upgrade. In this paper, we first summarize the typical characteristics of the discrete manufacturing industry, explore the challenges regarding the digital transformation and intelligent upgrade of the industry, and elaborate the common key technologies including advanced manufacturing, new-generation information, and new-generation artificial intelligence. Subsequently, we investigate four typical cases to present the frontier application progress in the field in China, and propose the following key development tasks: (1) achieving breakthroughs in keys enabling technologies for intelligent manufacturing, (2) developing intelligent manufacturing equipment, (3) building digital and intelligent workshops and factories, (4) providing digital and intelligent services, and (5) building standards and safety systems. Furthermore, it is necessary to accelerate pilot application, highlight domestication, increase the reserve of high-tech talents, and formulate relevant laws and regulations, to promote the high-quality development of China’s discrete manufacturing industry. 

Keywords： discrete manufacturing industry     digital transformation and intelligent upgrade     topological optimization     workshopscheduling     deep learning    

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TRANSLATING THE MULTI-ACTOR APPROACH TO RESEARCH INTO PRACTICE USING A WORKSHOP APPROACH FOCUSING ON

Frontiers of Agricultural Science and Engineering 2021, Volume 8, Issue 3,   Pages 460-473 doi: 10.15302/J-FASE-2021416

Abstract:

The EIP-Agri multiactor approach was exemplified during a 3-day workshop with 63 project participantsWorkshop participants were divided into smaller multidisciplinary groups and given the opportunity toThe four stages of the workshop were: (1) key actor interviews, (2) sharing proposed solutions for overcomingNevertheless, the workshop format was an effective way to gain a common understanding of the pertinent

Keywords： agroecology     codesign     intercropping     knowledge sharing     participatory methods    

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Development and challenges of planning and scheduling for petroleum and petrochemical production

Fupei LI, Minglei YANG, Wenli DU, Xin DAI

Frontiers of Engineering Management 2020, Volume 7, Issue 3,   Pages 373-383 doi: 10.1007/s42524-020-0123-3

Abstract: Production planning and scheduling are becoming the core of production management, which support theThe optimization of production planning and scheduling is attempted by every refinery because it gainsresearch with mathematical programming is a conventional approach used to address the planning and schedulingThis paper introduces the perspective of production planning and scheduling from the development viewpoint

Keywords： planning and scheduling     optimization     modeling    

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Lessons learned from developing and implementing refinery production scheduling technologies

Marcel JOLY, Mario Y. MIYAKE

Frontiers of Engineering Management 2017, Volume 4, Issue 3,   Pages 325-337 doi: 10.15302/J-FEM-2017033

Abstract: novel and highly specialized computer-aided decision-making technologies for short-term production schedulingimplemented in an energy company devoted to developing and implementing an advanced refinery production scheduling

Keywords： automation     decision making     oil refinery     optimization     production scheduling    

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A review of intelligent optimization for group scheduling problems in cellular manufacturing

Frontiers of Engineering Management   Pages 406-426 doi: 10.1007/s42524-022-0242-0

Abstract: productivity, and enhance the flexibility of manufacturing, especially cellular manufacturing, group schedulingare given for outspread problems and problem algorithms for future research in the fields of group scheduling

Keywords： cellular manufacturing     group scheduling     flowshop     literature review    

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Factor Analysis of Lightweight Material Welding Workshop Intelligentization

Zhou Anliang and Wang Decheng

Strategic Study of CAE 2017, Volume 19, Issue 5,   Pages 103-108 doi: 10.15302/J-SSCAE-2017.05.018

Abstract: development trends of digitized and intelligentized technology; and flexible construction of the welding workshopBy combining these dimensions with the technology development trends of advanced workshop intelligentizationand welding process digitization, eight basic factors that lightweight welding workshop intelligentizationrelated conclusion that could be used in reference to the improvement or new establishment of welding workshop

Keywords： welding technology     welding workshop     intelligentization     lightweight material     strategic research    

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A carbon efficiency upgrading method for mechanical machining based on scheduling optimization strategy

Shuo ZHU, Hua ZHANG, Zhigang JIANG, Bernard HON

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 2,   Pages 338-350 doi: 10.1007/s11465-019-0572-8

Abstract: In this paper, a two-stage low-carbon scheduling optimization method of job shop is presented as part

Keywords： Low-carbon manufacturing     carbon efficiency     multi-objective optimization     two-stage scheduling     job shop    

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Refinery production scheduling toward Industry 4.0

Marcel JOLY, Darci ODLOAK, Mario Y. MIYAKE, Brenno C. MENEZES, Jeffrey D. KELLY

Frontiers of Engineering Management 2018, Volume 5, Issue 2,   Pages 202-213 doi: 10.15302/J-FEM-2017024

Abstract: Understanding the holistic relationship between refinery production scheduling (RPS) and the cyber-physicalproduction environment with smart scheduling is a new question posed in the study of process systemsstate-of-the-art RSPs in the crude-oil refining field and present examples that illustrate how smart scheduling

Keywords： cyber-physical systems     optimization     petrochemical industry     scheduling     smart manufacturing    

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Energy-aware scheduling with reconstruction and frequency equalization on heterogeneous systems

Yong-xing LIU,Ken-li LI,Zhuo TANG,Ke-qin LI

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 7,   Pages 519-531 doi: 10.1631/FITEE.1400399

Abstract: In this paper, we propose an energy-aware scheduling algorithm with equalized frequency, called EASEF

Keywords： Directed acyclic graph     Dynamic voltage scaling     Energy aware     Heterogeneous systems     Task scheduling    

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Decision Support System for emergency scheduling of raw water supply systems with multiple sources

Qi WANG, Shuming LIU, Wenjun LIU, Zoran KAPELAN, Dragan SAVIC

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 5,   Pages 777-786 doi: 10.1007/s11783-013-0537-9

Abstract: A hydraulic model-based emergency scheduling Decision Support System (DSS) is designed to eliminate themodules, including water quality prediction, system safety assessment, emergency strategy inference and schedulingOtherwise, a Genetic Algorithm (GA)-based optimization model will be used to find the least-cost schedulingThrough scenario analysis, it is demonstrated that this DSS tool is instrumental in emergency scheduling

Keywords： decision support system     raw water supply system     contamination incident     emergency scheduling     hydraulic    

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Novel slack-based robust scheduling rule for a semiconductor manufacturing system with uncertain processing

Juan LIU, Fei QIAO, Yumin MA, Weichang KONG

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 507-514 doi: 10.15302/J-FEM-2018045

Abstract:

The NP-hard scheduling problems of semiconductor manufacturing systems (SMSs) are further complicatedReactive scheduling is a common dynamic scheduling approach where the scheduling scheme is refreshedThe scheduling scheme is overly sensitive to the emergence of uncertainties because the optimizationTo improve the robustness of the scheduling scheme, we propose a novel slack-based robust schedulingSimulation results show that the proposed SR can effectively improve the robustness of the scheduling

Keywords： semiconductor manufacturing system     uncertain processing time     dynamic scheduling     slack-based robust scheduling    

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Enterprise-wide optimization of integrated planning and scheduling for refinery-petrochemical complex

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 10,   Pages 1516-1532 doi: 10.1007/s11705-022-2283-7

Abstract: This paper focuses on the integrated problem of long-term planning and short-term scheduling in a large-scaleDifferent time scales are incorporated from the planning and scheduling subproblems.time representation is applied to the planning subproblem, while continuous time is applied to the schedulingonly illustrate the detailed operations in a refinery and petrochemical complex under planning and scheduling

Keywords： planning     scheduling     refinery-petrochemical     convolutional neural network     heuristic algorithm    

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Energy-aware fuzzy job-shop scheduling for engine remanufacturing at the multi-machine level

Jiali ZHAO, Shitong PENG, Tao LI, Shengping LV, Mengyun LI, Hongchao ZHANG

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 4,   Pages 474-488 doi: 10.1007/s11465-019-0560-z

Abstract: resulted in increased possibilities of energy conservation during the remanufacturing process, and schedulingHowever, only a few studies have specifically addressed energy-efficient scheduling for remanufacturingadaptive genetic algorithm was developed by using the hormone modulation mechanism to deal with the schedulingComputational results indicated that the optimal scheduling scheme is expected to generate 1.7 kW∙h ofbasis for production managers to improve the sustainability of remanufacturing through energy-aware scheduling

Keywords： remanufacturing scheduling     adaptive genetic algorithm     energy efficiency     sustainable remanufacturing     hormone    

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Precision Blasting Excavation of Underground Workshop Crane Beam of Rock Wall in Complicated Geology

Li Changneng,Xu Chengguang

Strategic Study of CAE 2014, Volume 16, Issue 11,   Pages 42-47

Abstract: style="text-align: justify;">The geology condition of Xiang jiaba hydraulic power station underground workshop

Keywords： Xiang jiaba hydraulic power station     underground workshop     crane beam of rock wall     precision blasting    

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Title Author Date Type Operation

Introduction to the special issue on the 2015 Workshop on History of Mechanism and Machine Science

Marco CECCARELLI

Journal Article

Paths for the Digital Transformation and Intelligent Upgrade of China’s Discrete Manufacturing Industry

Li Xinyu, Li Zhaofu, Gao Liang

Journal Article

TRANSLATING THE MULTI-ACTOR APPROACH TO RESEARCH INTO PRACTICE USING A WORKSHOP APPROACH FOCUSING ON

Journal Article

Development and challenges of planning and scheduling for petroleum and petrochemical production

Fupei LI, Minglei YANG, Wenli DU, Xin DAI

Journal Article

Lessons learned from developing and implementing refinery production scheduling technologies

Marcel JOLY, Mario Y. MIYAKE

Journal Article

A review of intelligent optimization for group scheduling problems in cellular manufacturing

Journal Article

Factor Analysis of Lightweight Material Welding Workshop Intelligentization

Zhou Anliang and Wang Decheng

Journal Article

A carbon efficiency upgrading method for mechanical machining based on scheduling optimization strategy

Shuo ZHU, Hua ZHANG, Zhigang JIANG, Bernard HON

Journal Article

Refinery production scheduling toward Industry 4.0

Marcel JOLY, Darci ODLOAK, Mario Y. MIYAKE, Brenno C. MENEZES, Jeffrey D. KELLY

Journal Article

Energy-aware scheduling with reconstruction and frequency equalization on heterogeneous systems

Yong-xing LIU,Ken-li LI,Zhuo TANG,Ke-qin LI

Journal Article

Decision Support System for emergency scheduling of raw water supply systems with multiple sources

Qi WANG, Shuming LIU, Wenjun LIU, Zoran KAPELAN, Dragan SAVIC

Journal Article

Novel slack-based robust scheduling rule for a semiconductor manufacturing system with uncertain processing

Juan LIU, Fei QIAO, Yumin MA, Weichang KONG

Journal Article

Enterprise-wide optimization of integrated planning and scheduling for refinery-petrochemical complex

Journal Article

Energy-aware fuzzy job-shop scheduling for engine remanufacturing at the multi-machine level

Jiali ZHAO, Shitong PENG, Tao LI, Shengping LV, Mengyun LI, Hongchao ZHANG

Journal Article

Precision Blasting Excavation of Underground Workshop Crane Beam of Rock Wall in Complicated Geology

Li Changneng,Xu Chengguang

Journal Article