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

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dc.contributor.authorHan, Hee-Jong-
dc.contributor.authorYu, Jae-Min-
dc.contributor.authorLee, Dong-Ho-
dc.date.accessioned2021-06-23T02:45:13Z-
dc.date.available2021-06-23T02:45:13Z-
dc.date.issued2013-08-
dc.identifier.issn0020-7543-
dc.identifier.issn1366-588X-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/27184-
dc.description.abstractThis 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.-
dc.format.extent14-
dc.language영어-
dc.language.isoENG-
dc.publisherTAYLOR & FRANCIS LTD-
dc.titleMathematical model and solution algorithms for selective disassembly sequencing with multiple target components and sequence-dependent setups-
dc.typeArticle-
dc.publisher.location영국-
dc.identifier.doi10.1080/00207543.2013.788794-
dc.identifier.scopusid2-s2.0-84882451160-
dc.identifier.wosid000322866600017-
dc.identifier.bibliographicCitationINTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, v.51, no.16, pp 4997 - 5010-
dc.citation.titleINTERNATIONAL JOURNAL OF PRODUCTION RESEARCH-
dc.citation.volume51-
dc.citation.number16-
dc.citation.startPage4997-
dc.citation.endPage5010-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasssci-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaOperations Research & Management Science-
dc.relation.journalWebOfScienceCategoryEngineering, Industrial-
dc.relation.journalWebOfScienceCategoryEngineering, Manufacturing-
dc.relation.journalWebOfScienceCategoryOperations Research & Management Science-
dc.subject.keywordPlusOF-THE-ART-
dc.subject.keywordPlusINTEGRATED APPROACH-
dc.subject.keywordPlusPRODUCT RECOVERY-
dc.subject.keywordPlusMETHODOLOGY-
dc.subject.keywordPlusOPTIMUM-
dc.subject.keywordPlusSINGLE-
dc.subject.keywordAuthorselective disassembly sequencing-
dc.subject.keywordAuthormultiple target components-
dc.subject.keywordAuthorsequence-dependent setups-
dc.subject.keywordAuthorinteger programming-
dc.subject.keywordAuthorheuristics-
dc.identifier.urlhttps://www.tandfonline.com/doi/full/10.1080/00207543.2013.788794-
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ERICA 소프트웨어융합대학 (DEPARTMENT OF ARTIFICIAL INTELLIGENCE)
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