Target Disassembly Sequencing and Scheme Evaluation for CNC Machine Tools Using Improved Multiobjective Ant Colony Algorithm and Fuzzy Integral

被引：116
作者：
Feng, Yixiong [1 ]
Zhou, MengChu [2 ]
Tian, Guangdong [3 ]
Li, Zhiwu [4 ]
Zhang, Zhifeng [1 ]
Zhang, Qin [1 ]
Tan, Jianrong [1 ]
机构：
[1] Zhejiang Univ, State Key Lab Fluid Power & Mechatron Syst, Hangzhou 310027, Zhejiang, Peoples R China
[2] New Jersey Inst Technol, Dept Elect & Comp Engn, Newark, NJ 07102 USA
[3] Jilin Univ, Transportat Coll, Changchun 130022, Jilin, Peoples R China
[4] Macau Univ Sci & Technol, Inst Syst Engn, Macau 999078, Peoples R China
来源：
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2019年 / 49卷 / 12期
基金：
中国国家自然科学基金;
关键词：
Algorithm; disassembly; disassembly planning; modeling and simulation; OPTIMIZATION; DESIGN; UNCERTAINTY; PLANNER; SYSTEM; MCDM;
D O I：
10.1109/TSMC.2018.2847448
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：2438 / 2451
页数：14
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