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Research Articles

Energy-efficient job shop scheduling problem with transport resources considering speed adjustable resources

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Pages 867-890 | Received 18 Mar 2022, Accepted 09 Nov 2022, Published online: 21 Feb 2023

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Weidong Chen, Junnan Wang & Guanyi Yu. (2024) Energy-efficient scheduling for a hybrid flow shop problem while considering multi-renewable energy. International Journal of Production Research 0:0, pages 1-21.
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Articles from other publishers (5)

Qiang Luo, Qianwang Deng, Huining Zhuang, Guiliang Gong, Qing Fan & Xiahui Liu. (2024) Collaborative scheduling of energy-saving spare parts manufacturing and equipment operation strategy using a self-adaptive two-stage memetic algorithm. Robotics and Computer-Integrated Manufacturing 87, pages 102707.
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Xiaoqing Han, Weiyao Cheng, Leilei Meng, Biao Zhang, Kaizhou Gao, Chaoyong Zhang & Peng Duan. (2024) A dual population collaborative genetic algorithm for solving flexible job shop scheduling problem with AGV. Swarm and Evolutionary Computation 86, pages 101538.
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Xiangfei Zhang, Congbo Li, Jing Zhang, Miao Yang & Wei Wu. (2024) Multi-objective evolutionary algorithm-enabled multi-stage collaborative scheduling for automotive production. Computers & Industrial Engineering, pages 110151.
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Diana G. Campinho, Dalila B.M.M. Fontes, Alexandre F. P. Ferreira & Fernando A.C C. Fontes. (2023) Job Deterioration Effects in Job-shop Scheduling Problems. Job Deterioration Effects in Job-shop Scheduling Problems.
S. Mahdi Homayouni & Dalila B.M.M. Fontes. (2023) Optimizing job shop scheduling with speed‐adjustable machines and peak power constraints: A mathematical model and heuristic solutions. International Transactions in Operational Research.
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