Title
Target Disassembly Sequencing and Scheme Evaluation for CNC Machine Tools Using Improved Multiobjective Ant Colony Algorithm and Fuzzy Integral
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.
Year
DOI
Venue
2019
10.1109/TSMC.2018.2847448
IEEE Transactions on Systems, Man, and Cybernetics
Keywords
Field
DocType
Planning,Complexity theory,Machine tools,Optimization,Mathematical model,Tools,Linear programming
Ant colony optimization algorithms,Numerical control,Computer science,Fuzzy logic,Artificial intelligence,Machine learning
Journal
Volume
Issue
ISSN
49
12
2168-2216
Citations 
PageRank 
References 
5
0.38
20
Authors
7
Name
Order
Citations
PageRank
Yixiong Feng17813.99
MengChu Zhou28989534.94
Guangdong Tian3635.98
Zhi Wu Li447038.43
Zhifeng Zhang5101.81
Qin Zhang6538.07
Jianrong Tan7225.36