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An optimization approach to determining the number of vendors to employ

An optimization approach to determining the number of vendors to employ Presents an approach for evaluating the number of vendors to employ in a procurement situation using multi‐objective programming (MOP) and data envelopment analysis (DEA). The approach advocates developing vendor‐order quantity solutions (referred to as supervendors) using MOP and then evaluating the efficiency of these supervendors on multiple criteria using DEA. Formulations are presented for both the MOP and DEA models. A case study is presented for a Fortune 500 company in a just‐in‐time (JIT) manufacturing environment. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Supply Chain Management: An International Journal Emerald Publishing

An optimization approach to determining the number of vendors to employ

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Publisher
Emerald Publishing
Copyright
Copyright © 2000 MCB UP Ltd. All rights reserved.
ISSN
1359-8546
DOI
10.1108/13598540010320009
Publisher site
See Article on Publisher Site

Abstract

Presents an approach for evaluating the number of vendors to employ in a procurement situation using multi‐objective programming (MOP) and data envelopment analysis (DEA). The approach advocates developing vendor‐order quantity solutions (referred to as supervendors) using MOP and then evaluating the efficiency of these supervendors on multiple criteria using DEA. Formulations are presented for both the MOP and DEA models. A case study is presented for a Fortune 500 company in a just‐in‐time (JIT) manufacturing environment.

Journal

Supply Chain Management: An International JournalEmerald Publishing

Published: May 1, 2000

Keywords: Purchasing; Optimization; Data envelopment analysis; Logistics; Vendor quality

References