Proposing an Algorithm for R&Q Inventory Control Model with Stochastic Demand Influenced by Shortage

In this article، the continuous - review inventory control system has been studied. A new constraint of demand dependent on the average percent of product shortage has been added to the problem. It means that the average demand has a direct relationship with shortage in a period. This constraint، which is related to the costs of credit loss of the organization due to product shortage، has been considered in the inventory model. In this paper، the mathematical model of this problem has been presented and then، two heuristic approaches based on the genetic and simulated annealing algorithms are developed. Computational results indicate that the simulated annealing algorithm can provide better results compare to the genetic algorithm.