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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wang Hui Xiang Dong Duan Guanghong Song Jie |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Precision Instrum. & Mechanology, Tsinghua Univ., Beijing (Wang Hui; Xiang Dong; Duan Guanghong) |
| Abstract | Over the past several years, heuristic methods are often used to find optimal solution(s) of disassembly/recycle sequencing problem, for it is a NP-hard combinatorial optimization problem. In the proposed research, first, we present a method: product disassembly sequence planning problem could map onto a problem of searching the optimal tour in the disassembly feasibility information graph (DFIG). Then a genetic algorithm is proposed to search the optimal solution of disassembly/recycle problem. Optimization objective is the performance of a solution, which is mainly related with three factors: disassembling process, environment impact and disassembly & recycle line. In particular, scheduling disassembly & recycle line is also a NP-hard problem. Therefore, a heuristic genetic operator, combined with disassembly & recycle processes tree, is also presented to schedule the disassembly & recycle line |
| Starting Page | 985 |
| Ending Page | 995 |
| File Size | 391809 |
| Page Count | 11 |
| File Format | |
| ISBN | 0769525288 |
| DOI | 10.1109/ISDA.2006.60 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer science Job shop scheduling Processor scheduling NP-hard problem Instruments Optimization methods Recycling Application software Computational complexity Genetic algorithms |
| Content Type | Text |
| Resource Type | Article |
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