The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Using data envelopment analysis to compare suppliers for supplier selection and performance improvement
Abstract
Data envelopment analysis (DEA) has been widely applied to address various decision analysis problems due to its usefulness in evaluating multi‐criterion systems and providing improvement targets for such systems. A supplier selection problem is inherently a multi‐criterion decision problem, and DEA has been applied to evaluate suppliers for an individual product. This paper proposes and demonstrates the application of DEA in evaluating the overall performances of suppliers in a manufacturing firm. A simplified DEA model for supplier selection is first presented to evaluate the overall performances of suppliers with a strategic orientation of being able to reduce the number of suppliers. A case study is then presented to demonstrate supplier performance evaluation using DEA for supplier selection and performance improvement considerations.
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Citations
Cites
Measuring the efficiency of decision making units
Charnes, A., Cooper, W. W., & Rhodes, E. (1978) · European Journal of Operational Research · doi:10.1016/0377-2217(78)90138-8 · Cited by 29,767
Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
Banker, R. D., Charnes, A., & Cooper, W. W. (1984) · Management Science · doi:10.1287/mnsc.30.9.1078 · Cited by 16,729
Vendor selection criteria and methods
Weber, C. A., Current, J. R., & Benton, W. C. (1991) · European Journal of Operational Research · doi:10.1016/0377-2217(91)90033-r · Cited by 2,137
An Analysis Of Vendor Selection Systems And Decisions
Dickson, G. W. (1966) · Journal of Purchasing · doi:10.1111/j.1745-493x.1966.tb00818.x · Cited by 1,955
Efficiency Analysis for Exogenously Fixed Inputs and Outputs
Banker, R. D., & Morey, R. C. (1986) · Operations Research · doi:10.1287/opre.34.4.513 · Cited by 1,243
Cooper, M. C., & Ellram, L. M. (1993) · The International Journal of Logistics Management · doi:10.1108/09574099310804957 · Cited by 1,036
Applied data envelopment analysis
Boussofiane, A., Dyson, R. G., & Thanassoulis, E. (1991) · European Journal of Operational Research · doi:10.1016/0377-2217(91)90331-o · Cited by 968
Data envelopment analysis: The evolution of the state of the art (1978?1995)
Seiford, L. M. (1996) · Journal of Productivity Analysis · doi:10.1007/bf00157037 · Cited by 808
A data envelopment analysis approach to measuring vendor performance
Weber, C. A. (1996) · Supply Chain Management An International Journal · doi:10.1108/13598549610155242 · Cited by 235
Browning, J. M., Zabriskie, N. B., & Huellmantel, A. B. (1983) · Journal of Purchasing and Materials Management · doi:10.1111/j.1745-493x.1983.tb00071.x · Cited by 63
Cited by
Enterprise Resource Planning (ERP) System Selection: A Data Envelopment Anaysis (DEA) Approach
Lall, V., & Teyarachakul, S. (2006) · Journal of Computer Information Systems · doi:10.1080/08874417.2006.11645946 · Cited by 39
Self-citation
Metadata
- Authors
- Liu, J., Ding, F., & Lall, V.
- Venue
- Supply Chain Management: An International Journal
- Publisher
- Emerald
- Published
- 2000-08-01
- Volume
- 5
- Issue
- 3
- Pages
- 143-150
- ISSN
- 1359-8546 (ISSN-L)
- OpenAlex
- W1991141301
- Cited by
- 503
- References
- 10
- FWCI
- 9.95
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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