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dc.contributor.authorLin, G. T. R.en_US
dc.contributor.authorLin, Chih-Chiehen_US
dc.contributor.authorLiu, Chu-Meien_US
dc.contributor.authorChou, Mei-Juen_US
dc.date.accessioned2014-12-08T15:35:59Z-
dc.date.available2014-12-08T15:35:59Z-
dc.date.issued2013-11-01en_US
dc.identifier.issn1012-9367en_US
dc.identifier.urihttp://hdl.handle.net/11536/24344-
dc.description.abstractGlobal logistics and outsourcing have become an irreversible industrial development trend in today's technology industry. Previous studies differ on supplier selection, supplier development, and supply-chain performance assessment evaluation methods. Research suggests that outsourcing is not only a program of options, but also results in different operating performances based on varying company supply-chain strategies. To build a competitive supply chain, companies must conduct a comprehensive assessment and develop a clear and explicit supply-chain development strategy. This research derives a composite method for assessing supply-chain strategy. A decision-making trial and evaluation laboratory method first clarify six major areas of supply-chain strategy assessment, and then draw a network impact-relationship map based on the direction of influence and extent of the impact in each area. An analytic network process then captures the interdependence between the evaluating factors, and identifies the relative weight of these criteria for each major factor in the supply-chain development strategy. Finally, the study develops an effective supply-chain strategy decision-making assessment model to help companies select an optimal strategy. Examining the world's top 4 TFT-LCD factories validates the results of this study.en_US
dc.language.isoen_USen_US
dc.subjectSupply-chain development strategyen_US
dc.subjectanalytic network processen_US
dc.subjectmultiple criteria decision makingen_US
dc.subjectdecision-making trial and evaluation laboratory methoden_US
dc.titleA HYBRID MCDM METHOD TO EVALUATE SUPPLY-CHAIN DEVELOPMENT STRATEGIESen_US
dc.typeArticleen_US
dc.identifier.journalPAKISTAN JOURNAL OF STATISTICSen_US
dc.citation.volume29en_US
dc.citation.issue5en_US
dc.citation.spage733en_US
dc.citation.epage744en_US
dc.contributor.department科技管理研究所zh_TW
dc.contributor.departmentInstitute of Management of Technologyen_US
dc.identifier.wosnumberWOS:000335454100019-
dc.citation.woscount0-
Appears in Collections:Articles