Target Disassembly Sequencing and Scheme Evaluation for CNC Machine Tools Using Improved Multiobjective Ant Colony Algorithm and Fuzzy Integral
Document Type
Article
Publication Date
1-1-2019
Abstract
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.
Identifier
85059111380 (Scopus)
Publication Title
IEEE Transactions on Systems Man and Cybernetics Systems
External Full Text Location
https://doi.org/10.1109/TSMC.2018.2847448
e-ISSN
21682232
ISSN
21682216
First Page
2438
Last Page
2451
Issue
12
Volume
49
Grant
LZ18E050001
Fund Ref
National Natural Science Foundation of China
Recommended Citation
Feng, Yixiong; Zhou, Mengchu; Tian, Guangdong; Li, Zhiwu; Zhang, Zhifeng; Zhang, Qin; and Tan, Jianrong, "Target Disassembly Sequencing and Scheme Evaluation for CNC Machine Tools Using Improved Multiobjective Ant Colony Algorithm and Fuzzy Integral" (2019). Faculty Publications. 8111.
https://digitalcommons.njit.edu/fac_pubs/8111
