Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이동호 | - |
dc.date.accessioned | 2019-12-10T15:40:59Z | - |
dc.date.available | 2019-12-10T15:40:59Z | - |
dc.date.issued | 2018-12 | - |
dc.identifier.citation | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, v. 56, no. 24, page. 7243-7257, Special no. SI | en_US |
dc.identifier.issn | 0020-7543 | - |
dc.identifier.issn | 1366-588X | - |
dc.identifier.uri | https://www.tandfonline.com/doi/full/10.1080/00207543.2018.1432911 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/120997 | - |
dc.description.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. | en_US |
dc.description.sponsorship | This work was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education of Korea Government [grant number 2015R1D1A1A01057669]. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | TAYLOR & FRANCIS LTD | en_US |
dc.subject | disassembly planning | en_US |
dc.subject | selective disassembly sequencing | en_US |
dc.subject | random operation times | en_US |
dc.subject | parallel disassembly | en_US |
dc.subject | sample average approximation | en_US |
dc.title | Selective disassembly sequencing with random operation times in parallel disassembly environment | en_US |
dc.type | Article | en_US |
dc.relation.no | 24 | - |
dc.relation.volume | 56 | - |
dc.identifier.doi | 10.1080/00207543.2018.1432911 | - |
dc.relation.page | 7243-7257 | - |
dc.relation.journal | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | - |
dc.contributor.googleauthor | Kim, Hyung-Won | - |
dc.contributor.googleauthor | Park, Chuljin | - |
dc.contributor.googleauthor | Lee, Dong-Ho | - |
dc.relation.code | 2018003024 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF INDUSTRIAL ENGINEERING | - |
dc.identifier.pid | leman | - |
dc.identifier.researcherID | P-2938-2018 | - |
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