Modeling and optimization for two-sided robots disassembly line balancing problems considering variable time

被引：0

作者：

Tuo Y. ^{[1
,2
]}

Zhang Z. ^{[1
,2
]}

Zhang Y. ^{[1
,2
]}

Zheng H. ^{[1
,2
]}

Liang W. ^{[1
,2
]}

机构：

[1] School of Mechanical Engineering, Southwest Jiaotong University, Chengdu

[2] Sichuan Prov. Key Laboratory of Technology and Equipment of Rail Transit Operation and Maintenance, Chengdu

来源：

Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2023年 / 29卷 / 12期

基金：

中国国家自然科学基金;

关键词：

disassembly line balancing problem; Pareto idea; salp swarm algorithm; two-sided disassembly;

D O I：

10.13196/j.cims.2022.0203

中图分类号：

学科分类号：

摘要：

In view of the deficiency of the existing two-sided disassembly line in the research on variable disassembly time and robot energy consumption, multi-type robots were introduced into the disassembly line. Combined with the characteristics of two-sided disassembly line, a multi-objective two-sided disassembly line balance model was established to minimize the number of workstations, load balance index, hazard index and robot energy consumption index. The model could dynamically adapt different types of robots for disassembly according to the task allocation, reduce the disassembly time and improve the disassembly efficiency. An improved salpswarm algorithm was proposed, which added Levy flight strategy to avoid falling into local optimization and achieve rapid convergence. The Pareto idea and crowding distance mechanism were introduced to screen the multi-objective solution results to retain the better solution. Compared with many cases, the feasibility and efficiency of the proposed algorithm in the two-sided disassembly line balance problem were verified. The model was applied to the example calculation of two-sided disassembly of waste vehicles, and a variety of excellent schemes were solved for decision-makers to choose. © 2023 CIMS. All rights reserved.

引用

页码：4073 / 4088

页数：15

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