Modeling and Verification of Warehouse Dynamic Scheduling Based on the IOQ Parameter of the Product

With the increasing competition of market economies, many companies are pursuing higher levels of production automation in manufacturing industry. For example, the automated warehouses are employed in the field of manufacturing and processing field, in the process of which automated warehouses play a more and more significant role. Therefore, it is meaningful to have a research on the automated warehouses scheduling issue. The warehouse scheduling algorithm is studied combining with the project on the automatic production line of an enterprise in this paper, and a warehouse scheduling optimization algorithm is proposed based on IOQ(Index of Quality) parameters. Then the process of getting the value of IOQ is also simplified by applying the idea of sparse matrix. In addition, the algorithm uses the maximum of the IOQs to schedule warehouse on line, and is compared with other warehouse scheduling algorithms. The simulation results show that the warehouse scheduling algorithm can not only improve the quality of the product effectively, but also improve the efficiency of the scheduling largely. The desired result is achieved in the end.