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dc.contributor.authorWang, Earl Jueien_US
dc.contributor.authorChen, Yen Chunen_US
dc.contributor.authorWang, Wen Shien_US
dc.contributor.authorSu, Tai Shengen_US
dc.date.accessioned2014-12-08T15:07:43Z-
dc.date.available2014-12-08T15:07:43Z-
dc.date.issued2010en_US
dc.identifier.issn0020-7543en_US
dc.identifier.urihttp://hdl.handle.net/11536/6059-
dc.identifier.urihttp://dx.doi.org/10.1080/00207540903175046en_US
dc.description.abstractThis work presents a linear programming model with fuzzy multiple goals for analysing cost effectiveness during vendor selection. The proposed model considers material preparation for outsourcing firms, technological transition, quality, lead time, and their interactions. The model also uses cost, quality and effectiveness as decision criteria for capacity planning and for determining product requirements for multi-stage planning of the make/outsourcing formulation. Different scenarios involving capacity transitions limited by technical factors, additions, and support shortages are mathematically formulated. In addition to its functions for evaluating cost minimisation and for accommodating the components of lead time, quality, and responsiveness, the proposed model also integrates multi-stage functions for supply chain systems. Therefore, the analytical results of this study, regardless of application outcomes or analysis methodology, provide decision criteria for manufacturing firms and introduce a new area of academic research.en_US
dc.language.isoen_USen_US
dc.subjectvendor selectionen_US
dc.subjectintegrated multi-stage modelen_US
dc.subjectoutsourcingen_US
dc.subjectcost effectivenessen_US
dc.titleAnalysis of outsourcing cost-effectiveness using a linear programming model with fuzzy multiple goalsen_US
dc.typeArticleen_US
dc.identifier.doi10.1080/00207540903175046en_US
dc.identifier.journalINTERNATIONAL JOURNAL OF PRODUCTION RESEARCHen_US
dc.citation.volume48en_US
dc.citation.issue2en_US
dc.citation.spage501en_US
dc.citation.epage523en_US
dc.contributor.department工業工程與管理學系zh_TW
dc.contributor.departmentDepartment of Industrial Engineering and Managementen_US
dc.identifier.wosnumberWOS:000272987900010-
dc.citation.woscount14-
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