Enhancement fuzzy goal programming approach for multi- item/ multi- supplier selection problem ina fuzzy environment
International Journal of Development Research
Enhancement fuzzy goal programming approach for multi- item/ multi- supplier selection problem ina fuzzy environment
Received 17th July, 2018; Received in revised form 21st August, 2018; Accepted 08th September, 2018; Published online 30th October, 2018
Copyright © 2018, Khalifa and Al- Shabi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Supplier selection problem (SSP) is one of the important elements in supply chain management which provides a better decision tool for the selection of the supplier. In this paper, a multiple sourcing supplier selection (F-SSP) problem is introduced as a fully fuzzy multi- objective linear programming problem. While the F-SSP is converted into the corresponding -SSP based on the cut of the fuzzy numbers, an interactive fuzzy goal programming approach is applied to obtain the - best compromise solution. The solution procedure controls the search direction via updating both the membership values and the aspiration levels, where the decision maker's role is concentrated only in evaluating the - efficient solution. Finally, a numerical example is given to the utility of our solution procedure.