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An optimization approach to determining the number of vendors to employ

Charles A. Weber (Charles A. Weber is Research Consultant at the Institute of Defense Analysis, Alexandria, Virginia, USA)
John Current (John Current is Associate Professor in the Department of Management Science at Ohio State University, Columbus, Ohio, USA)
Anand Desai (Anand Desai is Associate Professor at the School of Public Policy and Management, Ohio State University, Columbus, Ohio, USA)

Supply Chain Management

ISSN: 1359-8546

Article publication date: 1 May 2000

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.

Keywords

Citation

Weber, C.A., Current, J. and Desai, A. (2000), "An optimization approach to determining the number of vendors to employ", Supply Chain Management, Vol. 5 No. 2, pp. 90-98. https://doi.org/10.1108/13598540010320009

Publisher

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MCB UP Ltd

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