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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
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
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
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
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
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
Keywords: planning and scheduling optimization modeling
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
Keywords: automation decision making oil refinery optimization production scheduling
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
Keywords: cellular manufacturing group scheduling flowshop literature review
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
Keywords: welding technology welding workshop intelligentization lightweight material strategic research
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
Keywords: Low-carbon manufacturing carbon efficiency multi-objective optimization two-stage scheduling job shop
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
Keywords: cyber-physical systems optimization petrochemical industry scheduling smart manufacturing
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
Keywords: Directed acyclic graph Dynamic voltage scaling Energy aware Heterogeneous systems Task scheduling
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
Keywords: decision support system raw water supply system contamination incident emergency scheduling hydraulic
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
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
Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 10, Pages 1516-1532 doi: 10.1007/s11705-022-2283-7
Keywords: planning scheduling refinery-petrochemical convolutional neural network heuristic algorithm
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
Keywords: remanufacturing scheduling adaptive genetic algorithm energy efficiency sustainable remanufacturing hormone
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
Keywords: Xiang jiaba hydraulic power station underground workshop crane beam of rock wall precision blasting
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