AN INTUITIONISTIC FUZZY-TODIM METHOD TO SOLVE DISTRIBUTOR EVALUATION AND SELECTION PROBLEM

In the collaborative planning, forecasting and replenishment (CPFR) process of supply chain management, the distributor is the leading tie between manufacturer and customer, a key figure in collecting marketing information, reducing the demand uncertainty and improving customer satisfaction. In the CPFR process, by making reasonable evaluations and selections the distributors can ensure smooth distribution channels and enhance the competitiveness of the entire supply chain. As a result, distributor evaluation and selection is a pivotal step in the process of supply chain management. In order to improve the validity and reliability of the evaluation and selection model, this paper proposes a decision model based on Intuitionistic Fuzzy-TODIM (IF-TODIM) and carries out example calculation and simulation analysis. Firstly, the CPFR process of the existing supply chain management method and the evaluation indicator system of the distributors were analysed. The next stage was to establish a selection criteria system (which the CPFR process requires) and then create an evaluation model based on the IF-TODIM selection model and prospect theory. Uncertainty and risk aversion were full considered in the distributor evaluation and selection model for the manufacturers. Finally an example calculation process and the simulation analysis revealed that the model displayed operability and effectiveness, can effectively solve the problem of distributor selection under uncertainty condition and help manufacturers determine the optimal distributor partners quickly, at the same time maximizing the choice of avoiding enterprise risk.