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Mathematical model and solution algorithms for selective disassembly sequencing with multiple target components and sequence-dependent setups

Authors
Han, Hee-JongYu, Jae-MinLee, Dong-Ho
Issue Date
Aug-2013
Publisher
TAYLOR & FRANCIS LTD
Keywords
selective disassembly sequencing; multiple target components; sequence-dependent setups; integer programming; heuristics
Citation
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, v.51, no.16, pp 4997 - 5010
Pages
14
Indexed
SCI
SCIE
SCOPUS
Journal Title
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Volume
51
Number
16
Start Page
4997
End Page
5010
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/27184
DOI
10.1080/00207543.2013.788794
ISSN
0020-7543
1366-588X
Abstract
This study considers selective disassembly sequencing under the sequential disassembly environment in which one component is obtained at each disassembly operation. The problem is to determine the sequence of disassembly operations to obtain multiple target components of a used or end-of-life product for the purpose of repair, reuse, remanufacturing, disposal, etc. In particular, we consider sequence-dependent setups in which setup costs depend on the disassembly operation just completed and on the operation to be processed. The problem is represented as a disassembly precedence graph and then a new integer programming model is suggested for the objective of minimising the total disassembly cost. After it is proved that the problem is NP-hard, we suggest two types of heuristics: (1) branch and fathoming algorithm for small-to-medium-sized instances; and (2) priority-rule-based algorithm for large-sized instances. A series of computational experiments, i.e., effectiveness of the new integer programming model and performances of the two heuristic types, were done on various test instances, and the results are reported. In addition, to show the applicability of the mathematical model and the solution algorithms, a case study is reported on an end-of-life electronic calculator.
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Lee, Dong Ho
ERICA 소프트웨어융합대학 (DEPARTMENT OF ARTIFICIAL INTELLIGENCE)
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