A fuzzy programming approach for vendor selection problem in a supply chain [An article from: International Journal of Production Economics]

This digital document is a journal article from International Journal of Production Economics, published by Elsevier in 2006. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
Vendor selection problem (VSP) has been treated in this paper as a ''fuzzy Multi-objective Integer Programming Vendor Selection Problem'' (f-MIP_VSP) formulation that incorporates the three important goals: cost-minimization, quality-maximization and maximization of on-time-delivery-with the realistic constraints such as meeting the buyers' demand, vendors' capacity, vendors' quota flexibility, etc. In the proposed model, various input parameters have been treated as vague with a linear membership function of fuzzy type. It is tested on a data set adopted from a case company. The approach provides a decision tool that facilitates the vendor selection and their quota allocation under different degrees of information vagueness in the decision parameters of a supply chain modeling.