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
Machine summary:
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.
Keywords: Weighted additive fuzzy programming, Logistics outsourcing, Trapezoidal fuzzy INTRODUCTION Supplier selection is the multiple – criteria decision making (MCDM) problem that is affected by several conflicting factors.
com process (AHP) (Narasimhan, 1983; Barbarosoglu and Yazgac, 1997), analytic network process (Sarkis and Talluri, 2000), total cost approaches (Smytka and Clemens, 1993; Monezka and Trecha, 1998) and mathematical programming (MP) techniques (Buffa and Jackson, 1983; Chaudhry et al.
Chan and Kumar (2007) presented a Fuzzy Extended AHP (FEAHP) approach to select the best global supplier for a manufacturing firm to supply one of its most critical parts used in assembling process and applied triangular fuzzy numbers as a pair wise comparison scale for deriving the priorities of different selection criteria and attributes such as overall cost of the product, rejection rate of the product, response to changes, political stability and geographical location.
This model proposes a complete fuzzy multi objective linear model approach for selection of logistics outsourcing service supplier.
The algorithm of model applies linguistic variables to assess weights of each factor in the fuzzy multi-objective linear model Finally the principal advantages of our model are in fourfold: First we focused on supplier selection and evaluation in service industries especially logistic outsourcing problem, second the proposed approach can adequately deal with the inherent uncertainty and imprecision of human decision-making third the proposed model can select suitable suppliers effectively finally this research investigated the differences among decision-makers by devoting unequal weights.