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VOL. 5, ISSUE 3 (2019)
A decision support system for selecting best supplier for multiple criteria decision making problems using entropy weight method and COPRAS Method
Authors
Josy George, Pushkal Badoniya
Abstract
Supplier selection is one of the significant aspects of any supply chain. The incorrect decision on supplier selection affects not only the specific buyer but also the entire supply chain. The selection of good supplier may lead to reduce purchasing risk, maximize overall value to the purchaser and to establish reliable long-term relationships between buyers and suppliers. In fact, supplier selection is a multi-criteria decision making problem which includes both qualitative and quantitative factors. In this paper a methodology has been proposed by integrating Entropy Weight Method (EWM) and Complex Proportional Assessment of alternatives called COPRAS with a view to resolving the uncertainty while selecting the best one among various alternatives. A case study has been conducted in a manufacturing company to demonstrate the proposed methodology.
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Pages:01-03
How to cite this article:
Josy George, Pushkal Badoniya "A decision support system for selecting best supplier for multiple criteria decision making problems using entropy weight method and COPRAS Method". National Journal of Advanced Research, Vol 5, Issue 3, 2019, Pages 01-03
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