A weighted Additive Fuzzy Programming Approach for Logistics Outsourcing Selection in Car Industry

Abstract

Logistics outsourcing has been at the top of the management agenda during recent decades. The selection of the proper service supplier is the key to success in logistic outsourcing Firms could select the right supplier by applying appropriate methods and selection criteria. In this paper a new framework is proposed on the basis of weighted additive fuzzy programming approach and linear programming in evaluation and selection of logistic outsourcing service supplier. In Proposed model linguistic value is expressed as trapezoidal fuzzy numbers and weight of each criterion is obtained based on the distance of each factor between fuzzy positive and negative ideal rating.