Journal article
Supplier evaluation and selection: an augmented DEA approach
International journal of production research, Vol.47(16), pp.4593-4608
08/15/2009
DOI: 10.1080/00207540802054227
Abstract
Evaluating and selecting suppliers is an essential part of effectively managing today's dynamic and global supply chains. In this paper, we propose a supplier evaluation and selection methodology based on an extension of data envelopment analysis (DEA) that can evaluate suppliers in an efficient manner. Through the incorporations of a range of virtual standards, the proposed methodology termed augmented DEA, has enhanced discriminatory power over basic DEA models to rank suppliers. In addition, weight constraints are introduced to reduce the possibility of having inappropriate input and output factor weights. We demonstrate the application of augmented DEA with comparison experiments and find that the augmented DEA model has advantages over the basic DEA model as well as the cross-efficiency and super-efficiency models. Finally, we present a case application with data obtained from a communication and aviation electronics company to demonstrate the applicability and use of augmented DEA.
Details
- Title: Subtitle
- Supplier evaluation and selection: an augmented DEA approach
- Creators
- Teresa Wu - Arizona State UniversityJennifer Blackhurst - Iowa State University
- Resource Type
- Journal article
- Publication Details
- International journal of production research, Vol.47(16), pp.4593-4608
- Publisher
- Taylor & Francis Group
- DOI
- 10.1080/00207540802054227
- ISSN
- 0020-7543
- eISSN
- 1366-588X
- Language
- English
- Date published
- 08/15/2009
- Academic Unit
- Business Analytics; Bus Admin Graduate Programs
- Record Identifier
- 9984201430502771
Metrics
37 Record Views