Selective disassembly sequencing with random operation times in parallel disassembly environment
- Authors
- Kim, Hyung-Won; Park, Chuljin; Lee, Dong-Ho
- Issue Date
- Dec-2018
- Publisher
- TAYLOR & FRANCIS LTD
- Keywords
- disassembly planning; selective disassembly sequencing; random operation times; parallel disassembly; sample average approximation
- Citation
- INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, v.56, no.24, pp.7243 - 7257
- Indexed
- SCIE
SCOPUS
- Journal Title
- INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Volume
- 56
- Number
- 24
- Start Page
- 7243
- End Page
- 7257
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/4707
- DOI
- 10.1080/00207543.2018.1432911
- ISSN
- 0020-7543
- Abstract
- Selective disassembly sequencing is the problem of determining the sequence of disassembly operations to extract one or more target components of a product. This study considers the problem with random operation times in the parallel disassembly environment in which one or more components can be removed at the same time by a single disassembly operation. After representing all possible disassembly sequences using the extended process graph, a stochastic integer programming model is developed for the objective of minimising the sum of disassembly and penalty costs, where the disassembly costs consist of sequence-dependent set-up and operation costs and the penalty cost is the expectation of the costs incurred when the total disassembly time exceeds a threshold value. A sample average approximation-based solution algorithm is proposed that incorporates an optimal algorithm to solve the sample average approximating problem under a given set of scenarios for disassembly operation times. The algorithm is illustrated with a hand-light case and a large-sized random instance, and the results are reported.
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