Multi-objective discrete harmony search algorithm for disassembly line balance problems considering human body posture change

Ting Ting Wei; XiWang Guo; Jiacun Wang; Liang Qi; ShuJin Qin; Gongdan Xu

doi:10.1117/12.2626848

14 February 2022 Multi-objective discrete harmony search algorithm for disassembly line balance problems considering human body posture change

Ting Ting Wei, XiWang Guo, Jiacun Wang, Liang Qi, ShuJin Qin, Gongdan Xu

Author Affiliations +

Proceedings Volume 12161, 4th International Conference on Informatics Engineering & Information Science (ICIEIS2021); 1216104 (2022) https://doi.org/10.1117/12.2626848
Event: 4th International Conference on Informatics Engineering and Information Science, 2021, Tianjin, China

Abstract

The progress of science and technology leads to quick replacement of products and causes a large number of abandoned products. As one of the important steps of product recycling, disassembly can maximize the utilization of resources. Considering that most of the existing disassembly lines are operated by humans, it is of great significance to consider the change of human body posture in the disassembly process. This work divides the disassembly posture into the standing posture operation and the sitting posture operation. Then, on the premise of satisfying various constraints, a mathematical model that maximizes the profit and minimizes the number of postural changes is established. A new multi-objective discrete harmony search algorithm based on Pareto is proposed. Compared with the original harmony search algorithm and multi-objective evolutionary algorithm based on decomposition, the results show that the proposed algorithm has better performance in terms of efficiency and quality.

Citation Download Citation

Ting Ting Wei, XiWang Guo, Jiacun Wang, Liang Qi, ShuJin Qin, and Gongdan Xu "Multi-objective discrete harmony search algorithm for disassembly line balance problems considering human body posture change", Proc. SPIE 12161, 4th International Conference on Informatics Engineering & Information Science (ICIEIS2021), 1216104 (14 February 2022); https://doi.org/10.1117/12.2626848

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