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dc.contributor.authorLiou, James J. H.en_US
dc.contributor.authorTamosaitiene, Jolantaen_US
dc.contributor.authorZavadskas, Edmundas K.en_US
dc.contributor.authorTzeng, Gwo-Hshiungen_US
dc.date.accessioned2016-03-28T00:04:26Z-
dc.date.available2016-03-28T00:04:26Z-
dc.date.issued2016-01-02en_US
dc.identifier.issn0020-7543en_US
dc.identifier.urihttp://dx.doi.org/10.1080/00207543.2015.1010747en_US
dc.identifier.urihttp://hdl.handle.net/11536/129677-
dc.description.abstractGreening the supply chain is an increasingly important concern for many business enterprises and a challenge for logistics management. Critical functions within green supply chain management are internal improvements and selection of green suppliers. This study proposes a novel, hybrid model that addresses dependent relationships between various criteria and the vague information coming from decision-makers. The Decision-making Trial and Evaluation Laboratory (DEMATEL) technique structures the relationships among criteria, thereby constructing an influential network relationship map (INRM). Meanwhile the DEMATEL-based, analytical network process (ANP) method aids in obtaining influential weights of the criteria. Decision-makers may hold diverse opinions and preferences due to incomplete information, differences in knowledge or simply conflicts that are inherent between various departments. This can make it difficult to judge the performance of alternatives. One remedy is to apply a modified COmplex PRoportional ASsessment of alternatives with Grey relations. Next, this is applied to improve each criterion for integration of the performance values obtained in closing the aspiration level from different expert opinions based on INRM. An empirical example using data from a Taiwanese electronics company is provided to demonstrate our proposed method. The results can provide firms with a knowledge-based understanding of the source of some problems, thus reducing the performance gaps and closing the aspiration levels. Finally, there is a discussion on certain managerial implications.en_US
dc.language.isoen_USen_US
dc.subjectgreen supply chain management (GSCM)en_US
dc.subjectmulti-attribute decision-making (MADM)en_US
dc.subjectanalytic network process (ANP)en_US
dc.subjectDEMATEL-based ANP (DANP)en_US
dc.subjectCOmplex PRoportional ASsessment of alternatives with Grey relations (modified COPRAS-G)en_US
dc.titleNew hybrid COPRAS-G MADM Model for improving and selecting suppliers in green supply chain managementen_US
dc.typeArticleen_US
dc.identifier.doi10.1080/00207543.2015.1010747en_US
dc.identifier.journalINTERNATIONAL JOURNAL OF PRODUCTION RESEARCHen_US
dc.citation.volume54en_US
dc.citation.spage114en_US
dc.citation.epage134en_US
dc.contributor.department科技管理研究所zh_TW
dc.contributor.departmentInstitute of Management of Technologyen_US
dc.identifier.wosnumberWOS:000368039100008en_US
dc.citation.woscount2en_US
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