Disassembly sequence optimization for large-scale products with multiresource constraints using scatter search and petri nets
Document Type
Article
Publication Date
10-13-2015
Abstract
Disassembly modeling and planning are meaningful and important to the reuse, recovery, and recycling of obsolete and discarded products. However, the existing methods pay little or no attention to resources constraints, e.g., disassembly operators and tools. Thus a resulting plan when being executed may be ineffective in actual product disassembly. This paper proposes to model and optimize selective disassembly sequences subject to multiresource constraints to maximize disassembly profit. Moreover, two scatter search algorithms with different combination operators, namely one with precedence preserved crossover combination operator and another with path-relink combination operator, are designed to solve the proposed model. Their validity is shown by comparing them with the optimization results from well-known optimization software CPLEX for different cases. The experimental results illustrate the effectiveness of the proposed method.
Identifier
84944088831 (Scopus)
Publication Title
IEEE Transactions on Cybernetics
External Full Text Location
https://doi.org/10.1109/TCYB.2015.2478486
e-ISSN
21682275
ISSN
21682267
First Page
2435
Last Page
2446
Issue
10
Volume
46
Grant
51561125002
Fund Ref
National Natural Science Foundation of China
Recommended Citation
Guo, Xiwang; Liu, Shixin; Zhou, Mengchu; and Tian, Guangdong, "Disassembly sequence optimization for large-scale products with multiresource constraints using scatter search and petri nets" (2015). Faculty Publications. 6719.
https://digitalcommons.njit.edu/fac_pubs/6719
