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dc.contributor.authorLiu, Fuh-hwa Franklinen_US
dc.contributor.authorLiu, Yu-chengen_US
dc.date.accessioned2018-08-21T05:54:25Z-
dc.date.available2018-08-21T05:54:25Z-
dc.date.issued2017-08-01en_US
dc.identifier.issn0360-8352en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.cie.2017.06.010en_US
dc.identifier.urihttp://hdl.handle.net/11536/145919-
dc.description.abstractThe motivation of this article lies in the application of two-stage gap-based measurement (GBM) in supply chain management. It adopts GBM model to construct a mixed integer program to measure the various stages of supply chain management in manufacturing practice. This paper proposes a new assessment system that aims to measure the aggregated efficiency of the entire supply chain. In this system, "plan source" and "plan make" are the major elements, they are a widely accepted industry standard by Supply Chain Operations Reference (SCOR). "Plan source" emphasizes the assessment of demand/supply planning strategy and suppliers' performance; "plan make" emphasizes the shop floor control, profitability and equipment effectiveness. The resulting GBM scores provide complete information on how to project inefficient DMUs on to the frontier. This article continues with a demonstration of GBM in the company cases, for the results of the assessment; this paper finds the worst efficiency of the DMUs and proposes improvement programs. (C) 2017 Published by Elsevier Ltd.en_US
dc.language.isoen_USen_US
dc.subjectData envelopment analysisen_US
dc.subjectPerformance measuresen_US
dc.subjectProduction planningen_US
dc.subjectGap-based measureen_US
dc.subjectSupply chain managementen_US
dc.titleA methodology to assess the supply chain performance based on gap-based measuresen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.cie.2017.06.010en_US
dc.identifier.journalCOMPUTERS & INDUSTRIAL ENGINEERINGen_US
dc.citation.volume110en_US
dc.citation.spage550en_US
dc.citation.epage559en_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:000407657400047en_US
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