Neighborhood Modularization-based Artificial Bee Colony Algorithm for Disassembly Planning with Operation Attributes

作者：Hongfei Guo, Linsheng Zhang, Yaping Ren, Leilei Meng, Zhou Zhongwei, Jianqing Li · 发表于：Chinese Journal of Mechanical Engineering · 年份：2022 · DOI：10.1186/s10033-022-00812-2 · 被引用次数：6 · 研究领域：Manufacturing Process and Optimization、BIM and Construction Integration

Abstract The recycling and remanufacturing of end-of-life products are significant for environmental protection and resource conservation. Disassembly is an essential process of remanufacturing end-of-life products. Effective disassembly plans help improve disassembly efficiency and reduce disassembly costs. This paper studies a disassembly planning problem with operation attributes, in which an integrated decision of the disassembly sequence, disassembly directions, and disassembly tools are made. Besides, a mathematical model is formulated with the objective of minimizing the penalty cost caused by the changing of operation attributes. Then, a neighborhood modularization-based artificial bee colony algorithm is developed, which contains a modular optimized design. Finally, two case studies with different scales and complexities are used to verify the performance of the proposed approach, and experimental results show that the proposed algorithm outperforms the two existing methods within an acceptable computational time.