A Bi-objective Location-routing Model for Perishable Products Considering Shelf-life of Products

In this paper, we present a bi-objective mathematical model of location-routing problem with soft time windows for perishable products. The first objective is to minimize costs and the second objective is to maximize products shelf-life. In order to validate the proposed model, some random numerical examples produced by using previous papers. The problem is coded in the GAMS environment and solved using Augmented Epsilon-Constraint method. Because of NP-hardness of location-routing problem, the NSGA-II meta-heuristic method has been proposed to solve large scale problems in a reasonable time. Computational results proves good performance of the proposed algorithm.