Mixed integer programming and multi-objective enhanced differential evolution algorithm for human–robot responsive collaborative disassembly in remanufacturing system

The recycling of waste products is essential for resource reuse. However, turning operation direction causes significant fatigue to operators handling end-of-life (EoL) products, consequently degrading the recycling efficiency. Accordingly, this study employs responsive collaboration robots to aid o...

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Veröffentlicht in:Advanced engineering informatics Jg. 62; S. 102895
Hauptverfasser: Zhang, Zeqiang, Liang, Wei, Ji, Dan, Zeng, Yanqing, Zhang, Yu, Li, Yan, Zhu, Lixia
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 01.10.2024
Schlagworte:
Disassembly line balancing
Human-robot responsive collaboration
Mixed integer programming
Multi-objective enhanced differential evolution algorithm
Remanufacturing system
Mixed integer programming
Human-robot responsive collaboration
Disassembly line balancing
Remanufacturing system
Multi-objective enhanced differential evolution algorithm
ISSN:1474-0346
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Zusammenfassung:The recycling of waste products is essential for resource reuse. However, turning operation direction causes significant fatigue to operators handling end-of-life (EoL) products, consequently degrading the recycling efficiency. Accordingly, this study employs responsive collaboration robots to aid operators in turning the operation direction of disassembled products. To solve the human-robot responsive collaboration disassembly line balancing problem (HRRC-DLBP), a mixed integer programming (MIP) model is constructed, and a decoding mechanism is designed in this study. Additionally, a multi-objective enhanced differential evolution algorithm (MEDE) in which the decoding mechanism is incorporated is devised and applied to solve the HRRC-DLBP. The MEDE algorithm is validated by comparing its solution results with those of the MIP model. Finally, the MEDE is used to optimise the EoL printer case for the HRRC-DLBP and the disassembly line balancing problem in which the operation direction is turned by humans (H-DLBP). The optimisation results show that the recycling of EoL products is more efficient using the HRRC-DLBP than employing the H-DLBP.
ISSN:1474-0346
DOI:10.1016/j.aei.2024.102895