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Intelligent selective disassembly using the ant colony algorithm

Published online by Cambridge University Press:  01 November 2003

J.F. WANG ,
J.H. LIU ,
S.Q. LI  and
Y.F. ZHONG
J.F. WANG
Affiliation:
School of Mechanical Science and Engineering, Huazhong University of Science & Technology, Wuhan, People's Republic of China
J.H. LIU
Affiliation:
School of Mechanical Engineering and Automation, Beihang University, Beijing, People's Republic of China
S.Q. LI
Affiliation:
School of Mechanical Science and Engineering, Huazhong University of Science & Technology, Wuhan, People's Republic of China
Y.F. ZHONG
Affiliation:
School of Mechanical Science and Engineering, Huazhong University of Science & Technology, Wuhan, People's Republic of China
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Abstract

Selective disassembly is an important issue in industrial and mechanical engineering for environmentally conscious manufacturing. This paper presents an intelligent selective disassembly approach based on ant colony algorithms, which take inspiration from the behavior of real ant colonies and are used to solve combinatorial optimization problems. For diverse assemblies, the algorithm generates different amounts of ants cooperating to find disassembly sequences for selected components, minimizing the reorientation of assemblies and removal of components. A candidate list that is composed of feasible disassembly operations, which are derived from a disassembly matrix of products, guides sequence construction in the implicit solution space and ensures the geometric feasibility of sequences. Preliminary implementation results show the effectiveness of the proposed method.

Keywords

Ant Colony OptimizationDisassembly MatrixDisassembly Sequence PlanningSelective Disassembly
Type
Research Article
Information
AI EDAM , Volume 17 , Issue 4 , November 2003 , pp. 325 - 333
Copyright
2003 Cambridge University Press

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