Resource Scheduling Problem in Distribution Center

Abstract

Abstract Due to the rapid growth of the retail shop trend recently, the Distribution Center (DC) or warehouse had become to be a vital part in the supply chain in order to store goods from multiple suppliers and deliver to multiple retailers. Cross docking is a relatively the logistics technique used in the DC in order to move materials from inbound trailers to outbound trailers as quickly as possible. From the following problem, an ineffectual DC management leads to the resources utilization problem such as machine, forklift, industrial trucks, etc. The main objective of this research is to study and solve the scheduling problem of the usage of the forklift in the Cross docking of DC and to manage the inbound and outbound docks in order to minimize Tardiness jobs, and also to maximize the efficiency of machine utilization. This study has provided the scheduling, comparison from genetic algorithm and heuristic method. As the result came out we found that the forklift scheduling by the genetic algorithm method is given the better management result better than heuristic method.