Target Disassembly Sequencing and Scheme Evaluation for CNC Machine Tools Using Improved Multiobjective Ant Colony Algorithm and Fuzzy Integral
Target Disassembly Sequencing and Scheme Evaluation for CNC Machine Tools Using Improved Multiobjective Ant Colony Algorithm and Fuzzy Integral
复制标题
基于改进多目标蚁群算法和模糊积分的数控机床目标拆装排序及方案评估
DOI：
10.1109/tsmc.2018.2847448
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发表时间：
2019-12-01
影响因子：
8.7
通讯作者：
Tan, Jianrong
中科院分区：
文献类型：
--
作者：
Feng, Yixiong;Zhou, MengChu;Tan, Jianrong
拆卸计划的目的是根据成本和对环境的影响，给出一个已使用或过时的产品的最佳拆卸顺序。提出了一种新的目标拆卸排序多目标规划模型。提出了一种改进的多目标蚁群算法，求解最优目标拆卸序列。本文还建立了一些评价拆卸方案的指标，并用模糊积分法对得到的拆卸方案进行了评价。最后以数控机床为例说明了所建立的模型和算法的有效性。理论和仿真结果均表明，该方法可以有效地对拆卸过程进行定量分析。这样的结果可以帮助决策者在执行产品拆卸过程时选择最佳的计划和顺序。
Disassembly planning aims to perform the optimal disassembly sequence given a used or obsolete product in terms of cost and environmental impact. This paper presents a new multiobjective programming model for the target disassembly sequencing. It proposes an improved multiobjective ant colony algorithm to derive optimal target disassembly sequences. This work also establishes some indices on disassembly scheme evaluation and a fuzzy integral method to evaluate the obtained disassembly scheme. A CNC machine tool example is given to illustrate the proposed models and the effectiveness of the proposed algorithm. Both theoretical and simulation results demonstrate that the proposed approach can perform the quantitative analysis of a disassembly process effectively. Such results can help decision makers select the best plans and sequences when executing a disassembly process of a product.