| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 409086 | Neurocomputing | 2008 | 7 Pages |
Abstract
This paper presents a method to solve disassembly sequence planning problem. Firstly, disassembly feasibility information graph (DFIG) is presented to describe the product disassembly sequence and operation information. Then, disassembly sequence planning problem is mapped onto the DFIG as an optimal path-searching problem. Based on this idea, a genetic algorithm is provided to find out feasible and optimal disassembly solutions efficiently. Finally, a case study, which is used to illustrate the performance of proposed method, is presented.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Wang Hui, Xiang Dong, Duan Guanghong,