Abstract:

Given that the existing study on railway empty car allocation lacks reliability and most models use owner satisfaction, a new multiobjective optimization model involved in timeliness was presented in this paper. By analyzing railway empty wagon and based on the cost and timeliness, the reliability of this process was defined, and a multiobjective optimization model with the least cost and the largest benef distribution it was established. Furthermore, the reliability value of the whole process was calculated. Finally, a numerical example was used to demonstrate the effectiveness of this method with LINGO software. Compared with the existing research methods, results show that the method proposed in this paper is practical.

Key words: timeliness, multi-objective optimization, empty wagon distribution, LINGO, reliability