Title: AIDEA: a methodology for supplier evaluation and selection in a supplier-based manufacturing environment

Authors: Teresa Wu, Dan Shunk, Jennifer Blackhurst, Rajendra Appalla

Addresses: Department of Industrial Engineering, Arizona State University, Tempe, Arizona 85287-5906, USA. ' Department of Industrial Engineering, Arizona State University, Tempe, Arizona 85287-5906, USA. ' Department of Business Management, College of Management, North Carolina State University, Raleigh, North Carolina 27695-7229, USA. ' International Software Systems Inc., 7337 Hanover Parkway, Site A, Greenbelt, MD 20770-3669, USA

Abstract: Supplier evaluation and selection, an important element in supplier-based manufacturing and supply chain management has been gaining attention in both academic literature and industrial practice. In this paper, we presented a modified data envelopment analysis (DEA) method for supplier selection which can operate under conditions of imprecise information. A brief description of the importance of supplier evaluation and selection is given, followed by an overview of DEA, along with several extensions of DEA applied specifically to supplier evaluation and selection. Contributions of our proposed approach include the elimination of the poor discriminatory power and inability of traditional DEA to rank the efficient suppliers. In addition, our method can be used in situations with imprecise data.

Keywords: data envelopment analysis; DEA; imprecise data; supplier-based manufacturing; supplier evaluation; supplier selection; virtual enterprise; supply chain management; SCM.

DOI: 10.1504/IJMTM.2007.013190

International Journal of Manufacturing Technology and Management, 2007 Vol.11 No.2, pp.174 - 192

Published online: 11 Apr 2007 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article