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.
| Original language | English (US) |
|---|---|
| Article number | 8412759 |
| Pages (from-to) | 2438-2451 |
| Number of pages | 14 |
| Journal | IEEE Transactions on Systems, Man, and Cybernetics: Systems |
| Volume | 49 |
| Issue number | 12 |
| DOIs | |
| State | Published - 2019 |
All Science Journal Classification (ASJC) codes
- Software
- Control and Systems Engineering
- Human-Computer Interaction
- Computer Science Applications
- Electrical and Electronic Engineering
Keywords
- Algorithm
- disassembly
- disassembly planning
- modeling and simulation