Multi-objective optimization for energy-efficient hybrid flow shop scheduling problem in panel furniture intelligent manufacturing with transportation constraints

The manufacture of customized panel furniture today faces significant environmental challenges in terms of energy consumption and the associated impact on the environment. From an operations management perspective, the energy efficiency of production systems is greatly influenced by production sched...

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Veröffentlicht in:	Expert systems with applications Jg. 274; S. 126830
Hauptverfasser:	Yue, Xinyi, Xiong, Xianqing, Zhang, Mei, Xu, Xiutong, Yang, Lujie
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.05.2025
Schlagworte:	Customized panel furniture Energy-efficient scheduling Hybrid flow shop scheduling problem Multi-objective optimization Non-dominated solution genetic algorithm Variable neighborhood search Multi-objective optimization Hybrid flow shop scheduling problem Variable neighborhood search Customized panel furniture Non-dominated solution genetic algorithm Energy-efficient scheduling
ISSN:	0957-4174
Online-Zugang:	Volltext
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