A theoretical model design for third party logistics selection in warehouse receipt system using unascertained mathematics

Abstract

The third party logistics selection is one of the most important steps in a warehouse receipt implementation program and is critical to the system success. Due to inherent complexity of warehouse receipt system, selecting an appropriate third party logistics is a risky, difficult and time-consuming task for the system. In this research, a comprehensive hybrid multi-criteria decision making model is developed in two stages using unascertained mathematics to evaluate and rank the alternatives. The model combines the weight determined by experts and entropy weight to solve the index weight, which gives a comprehensive consideration of subjective and objective factors and the method can improve the accuracy of weight value and the reliability of evaluation results. The proposed model is practical and quite simple in real world problems of selecting the most appropriate third party logistics for the warehouse receipt systems. © 2013 Asian Network for Scientific Information.