An inventory routing problem for deteriorating items with dynamic demand and spoilage rate

Inventory routing problems (IRP) are among important tools to be used for implementing vendor manage inventory. Many researchers try develop methods solving inventory problem, however, only a few developed spoilage items. In reality, many items deteriorated and spoiled during transportation storage period. this paper, we model solve the problem deteriorating with dynamic demand rate, i.e., varies spoil planning periods. Those cases more realistic since commodities such as fruits vegetables have rate. A Genetic Algorithm Particle Swarm Optimization various demands in specific period is Np-hard. numerical example sensitivity analysis conducted verify model, get management insight it. The result interesting support general hypothesis that higher cost than static demands, increasing results cost. Also, show rates significantly affect total cost, therefore, useful IRP