Optimization model for perishable products with time-base demand,stand on Pareto boundary and uncertainty

Abstract

Optimizing the perishable food, supply chain, taking into account all aspects, such as location, time, inventory control and routing, has become one of the top research priorities in today's competitive market. The primary objective is to reduce the overallcost, and the second one is to diminish the probability of warehouses failing to maintain the product (storage waste), which in turn, maximizes product quality.In this research, the issue of integrated supply chainplanning has been investigated in which it is assumed that there is a central warehouse for food distribution. The model developed in the present study considers two contradictory objectives for supply chainoptimization.In this research, foods are classified into three categories with the rate of deterioration common, high and very high. The concept of Pareto boundary and a set of optimal responses have been used. Demand is defined as uncertain and dependent on two factors, the demand for the prior period and the remaining time until the expiration of the products. The research problem is solved with both NSGA-II and NRGA algorithms whose parameters of these two algorithms are optimized by the Taguchi method. The two efficient boundaries are created by the four criteria MID, DM, SM and NOS. Finally, concluded that the efficiency of the NSGA-II method in solving the research problem and forming an effective boundary is higher than the NRGA method.