Research On Optimization Of Production Planning Of Multi - Product And Small - Volume Quick - Selling Products Based On SAPAPO

With the continuous development of multinational enterprises, more and more companies realize the importance of the production plan. Under Multi-Product and Small Lot-size production mode, more and more enterprises are begin to focus on how to get a realistic, feasible and optimized production plans. In recent years, the enterprises have been getting a lot of benefits with the ERP system implementation. But the unlimited production capacity MRP functional of ERP is not enough for currently complex market environment and multi-resource limited production environment. MRP planning and scheduling which is based on unlimited production capacity can not meet the needs of enterprises any more. More and more companies begin to introduce APS Advanced Planning Scheduling and Constraints bottleneck resources capacity planning theory. They are combined with existing ERP systems, to optimize enterprise production planning and scheduling. Aim to short plant lead time and get the improvement economic efficiency of enterprises.Based on the research of domestic and foreign production planning and scheduling theory and application, the analysis of production planning and scheduling problems, and the study of advanced planning scheduling and the constraints theory, the SAP APO system are introduced in the dynamic planning and scheduling. Detail Planning and scheduling functions of SAP APO system is resource capacity considered method, can do the heuristic and optimize. The SAP APO has the interface with the ERP system SAP ECC. After the analysis of the core interface of APO, can synchronize the SAP ECC system and SAP APO systems to achieve automatically scheduling and optimization. With the practice in C company, research on how to optimize the currently planning process and set the correctly master data to generate an optimized and feasibility production planning quickly and automatically. Finally, short the plant lead time and enhance the customer satisfaction of C Company.