In this study, we extend the classical joint replenishment and delivery scheduling problem(JRD) to address dynamic demands. This problem is an integrative approach on one-warehouse and n-retailers system to determine the best joint replenishment schedules of the warehouse and the delivery schedules to each retailer. We develop and compare two mixed integer programming models to demonstrate the outcomes of integrated decision making of a warehouse. Various experiments confirm that the integrated system reduces total relevant costs. The results of this study demonstrate that vendor managed inventory can be an effective strategy for cost savings.