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Infinitely repeated game based real-time scheduling for low-carbon flexible job shop considering multi-time periods
Northwestern Polytech Univ, Peoples R China; Xian Univ Posts and Telecommun, Peoples R China.
Northwestern Polytech Univ, Peoples R China.
Northwestern Polytech Univ, Peoples R China; Shaanxi Univ Technol, Peoples R China.
Northwestern Polytech Univ, Peoples R China; Xian Univ Posts and Telecommun, Peoples R China.
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2020 (English)In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 247, article id 119093Article in journal (Refereed) Published
Abstract [en]

Production scheduling has great significance for optimizing tasks distribution, reducing energy consumption and mitigating environmental degradation. Currently, the research of production scheduling considering energy consumption mainly focuses on the traditional manufacturing workshop. With the wide application of the Internet of Things (IoT) technology, the real-time data of manufacturing resources and production processes can be retrieved easily. These manufacturing data can provide opportunities for manufacturing enterprises to reduce energy consumption and enhance production efficiency. To achieve these targets, a multi-period production planning based real-time scheduling (MPPRS) approach for the loT-enabled low-carbon flexible job shop (LFJS) is presented in this study to carry out real-time scheduling based on the real-time manufacturing data. Then, the mathematical models of real-time scheduling are established to achieve production efficiency improvement and energy consumption reduction. To obtain a feasible solution, an infinitely repeated game optimization approach is used. Finally, a case study is implemented to analyse and discuss the effectiveness of the proposed method. The results show that in general, the proposed method can achieve better results than the existing dynamic scheduling methods. (C) 2019 Elsevier Ltd. All rights reserved.

Place, publisher, year, edition, pages
ELSEVIER SCI LTD , 2020. Vol. 247, article id 119093
Keywords [en]
Energy consumption; Real-time scheduling; Flexible job shop; Infinitely repeated game
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:liu:diva-163358DOI: 10.1016/j.jclepro.2019.119093ISI: 000505696700013OAI: oai:DiVA.org:liu-163358DiVA, id: diva2:1391083
Note

Funding Agencies|National Key Research and Development Program of China [2018YFB1703402]; Seed Foundation of Innovation and Creation for Graduate Students in Northwestern Polytechnical University [ZZ2019011]

Available from: 2020-02-03 Created: 2020-02-03 Last updated: 2020-03-11

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The full text will be freely available from 2021-10-31 15:19
Available from 2021-10-31 15:19

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  • apa
  • ieee
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