| dc.description.abstract | Semiconductor manufacture is an industry consisting of high capital and knowledge. Maintaining high utilization rate is persuaded by companies. Meanwhile, companies are eager to meet due date constraint. Enterprise resource planning (ERP) system is utilized in the semiconductor manufacture industry to integrate information. Owing to the system limitation, decision models are needed to achieve the balance of sales and operation. However, the existed ERP system has encountered certain drawbacks. We divided the problems into two parts. First, the system ignored not only the production limitation but multi plants、multi work center dispatch problem and so on. Second, it could neither stimulate the production plan nor adjust it. Stadtler (2005) stated the concept of advanced planning system (APS) had exhibited an architecture based on the principles of hierarchical planning. The main focus is on supporting the material flow amidst a supply chain and is related to business functions: procurement, production, transport and distribution as well as sales.
This research provides a production planning model which integrates front-end and back-end production plan based on the capacity. The whole capacity of supply chain can be considered by managers when making aggregate level planning. Moreover, companies can maintain lower inventory level, and also avoid the operation risk of backlog holding cost. Besides, this research offers numerical experiment to verify the model and Rule-based expert algorithm. We compare the result that we got from algorithm and the one out of optimization software Lingo. At last, we found out that two methods have their advantages respectively. Using the optimization software can reach the lower inventory level, whilst our algorithm is able to gain feasible solution. In the end of the research, we illustrate the points which we did not take into consideration. Nevertheless, in future researches, thinking over and solving all the problems to make the model and algorithm more practical are necessary jobs to do.
Key words : Production planning, Sales and operation planning, Supply chain management.
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