Multi-Objective Discrete Brainstorming Optimizer to Solve the Stochastic Multiple-Product Robotic Disassembly Line Balancing Problem Subject to Disassembly Failures

Robots are now widely used in product disassembly lines, which significantly improves end-of-life (EOL) product disassembly efficiency. Most of the current research on disassembly line balancing problems focuses on decomposing one product. More than one product can be disassembled concurrently, whic...

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Veröffentlicht in:	Mathematics (Basel) Jg. 11; H. 6; S. 1557
Hauptverfasser:	Xu, Gongdan, Zhang, Zhiwei, Li, Zhiwu, Guo, Xiwang, Qi, Liang, Liu, Xianzhao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.03.2023
Schlagworte:	Analysis Assembly-line methods Balancing Brainstorming Decomposition Depreciation Design and construction disassembly failure Dismantling End of life Energy consumption Environmental impact Evolutionary algorithms Failure Food science Genetic algorithms Group problem solving machine learning Mathematical optimization Methods Multiple objective analysis multiple product disassembly Optimization Pareto optimization robotic disassembly line balancing problem Robotics Robots Robots, Industrial Search algorithms Sorting algorithms Stochastic processes Swarm intelligence Work stations China
ISSN:	2227-7390, 2227-7390
Online-Zugang:	Volltext
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