Using Heuristic Algorithm to Construct a Production Planning System in Wafer Foundry Industry

碩士 === 國立交通大學 === 管理學院碩士在職專班資訊管理組 === 95 === In Taiwan, the scale of the customers of small and medium-sized wafer foundry companies are small. The characters of their orders are large number but less volume. Their reactions to the boom are very fast. The actions of delivering urgent orders and canc...

Full description

Bibliographic Details
Main Authors: Chih-Pei Lee, 李枝沛
Other Authors: Ruey-Shun Chen
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/22689787865641474911
Description
Summary:碩士 === 國立交通大學 === 管理學院碩士在職專班資訊管理組 === 95 === In Taiwan, the scale of the customers of small and medium-sized wafer foundry companies are small. The characters of their orders are large number but less volume. Their reactions to the boom are very fast. The actions of delivering urgent orders and canceling orders are as usual. Base on the above reasons, the flexibility and reacting capability of the production planning of the foundry companies are more important. The research combines two heuristic algorithms, COMSOAL and Priority rule-based algorithm, to design a production scheduling algorithm. Meanwhile it refers to dispatching rule and wafer start rule. Also base on the requirements and characters of wafer foundry companies, it designs proper capacity constraint model and wafer start rule to construct production planning system. Using simple, fast and flexible methods to generate reasonable and feasible production plans. The result of the research has several contributions. First, it shortens the execution time of generating a production plan. Second, the resolution of production plan is raised from the summary of manufacturing process and product type to full product name of order and demand allocation. It improves the resolution and accuracy of information analysis. Third, the planning period of wafer start plan is improved from monthly to daily. Last, the frequency of production planning is improved from once a fortnight to once a week. The time interval is shortened. It lets the production plan can timely react to the change of demand and production status and provides the right information for the references and decision of high managements.