Supplier Evaluation and Rationalization via Data Envelopment Analysis: An Empirical Examination
dc.contributor.author | Narasimhan, Ram | en_US |
dc.contributor.author | Talluri, Srinivas | en_US |
dc.contributor.author | Mendez, David | en_US |
dc.date.accessioned | 2010-06-01T19:22:26Z | |
dc.date.available | 2010-06-01T19:22:26Z | |
dc.date.issued | 2001-06 | en_US |
dc.identifier.citation | Narasimhan, Ram; Talluri, Srinivas; Mendez, David (2001). "Supplier Evaluation and Rationalization via Data Envelopment Analysis: An Empirical Examination." Journal of Supply Chain Management 37(3): 28-37. <http://hdl.handle.net/2027.42/72517> | en_US |
dc.identifier.issn | 1523-2409 | en_US |
dc.identifier.issn | 1745-493X | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/72517 | |
dc.description.abstract | Strategic evaluation of supplier performance assists firms in improving their operations across a variety of dimensions. Specifically, it aids in supplier process improvement, which in turn enhances firm performance, allows for optimal allocation of resources for supplier development programs, and assists managers in restructuring their supplier network based on performance. In order to address these issues, this article proposes a methodology for effective supplier performance evaluation based on data envelopment analysis (DEA), a multi-factor productivity analysis technique. The efficiencies derived from the DEA model are utilized in conjunction with managerial performance ratings in identifying supplier clusters, which are categorized into high performers and efficient (HE), high performers and inefficient (HI), low performers and efficient (LE), and low performers and inefficient (LI). Effective benchmarks from the HE cluster are identified for improving the operations of suppliers in the HI, LE, and LI clusters. Finally, managerial insights and implications from the study are discussed. | en_US |
dc.format.extent | 53486 bytes | |
dc.format.extent | 3109 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.publisher | Blackwell Publishing Ltd | en_US |
dc.rights | 2001 Institute for Supply Management, Inc | en_US |
dc.title | Supplier Evaluation and Rationalization via Data Envelopment Analysis: An Empirical Examination | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Economics | en_US |
dc.subject.hlbtoplevel | Business | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Ram Narasimhan is distinguished professor of operations management in the Eli Broad College of Business at Michigan State University in East Lansing, Michigan. | en_US |
dc.contributor.affiliationum | Srinivas Talluri is associate professor of operations management in the Eli Broad College of Business at Michigan State University in East Lansing, Michigan. | en_US |
dc.contributor.affiliationum | David Mendez is assistant professor in the School of Public Health at the University of Michigan in Ann Arbor, Michigan. | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/72517/1/j.1745-493X.2001.tb00103.x.pdf | |
dc.identifier.doi | 10.1111/j.1745-493X.2001.tb00103.x | en_US |
dc.identifier.source | Journal of Supply Chain Management | en_US |
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dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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