A Pareto-based collaborative multi-objective optimization algorithm for energy-efficient scheduling of distributed permutation flow-shop with limited buffers

Energy-efficient scheduling of distributed production systems has become a common practice among large companies with the advancement of economic globalization and green manufacturing. Nevertheless, energy-efficient scheduling of distributed permutation flow-shop problem with limited buffers (DPFSP-...

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Veröffentlicht in:	Robotics and computer-integrated manufacturing Jg. 74; S. 102277
Hauptverfasser:	Lu, Chao, Huang, Yuanxiang, Meng, Leilei, Gao, Liang, Zhang, Biao, Zhou, Jiajun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 01.04.2022 Elsevier BV
Schlagworte:	Algorithms Buffers Clean energy Collaboration Distributed flow-shop scheduling Energy Energy consumption Energy-efficient scheduling Globalization Job shops Limited buffers Multi-objective optimization Multiple objective analysis Optimization algorithms Pareto optimization Permutations Production scheduling Strategy Total energy consumption Limited buffers Multi-objective optimization Distributed flow-shop scheduling Total energy consumption Energy-efficient scheduling
ISSN:	0736-5845, 1879-2537
Online-Zugang:	Volltext
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