optimization of location-routing-inventory problem for perishable products with woa and alo algorithms

This paper discusses the modeling of a location-routing-inventory problem for perishable products. the model presented in this paper includes a three-echelon supply chain of suppliers, distribution centers, and retailers. supplier selection, assigning suppliers to distribution centers and retailers, vehicle routing and economic order quantity, lead time, and confidence inventory are the main decisions of the problem. these decisions are aimed at optimizing the total supply chain network costs. the nonlinear model presented in this article has been solved using two algorithms, woa and alo, in 12 sample problems. the results show that the solving speed of these algorithms and the high quality of the obtained answers are very high compared to the exact method. so, the maximum percentage of relative difference between the obtained results is less than 1%. the sensitivity analysis on the perishability rate also shows the increase in total costs in line with the increase in this parameter. by examining the outputs of 12 sample problems in large size, the woa showed its efficiency compared to the alo in terms of two indicators of average total costs and cpu time.