Abstract
The popularization of the application products impels the development of global TFT-LCD industry. The demand for the panel grows up year by year and the output of every factory increases. But the quantity of output improved causes two big problems: The stock of the finished product is accumulated, and the key spare part is insufficient in supply. The manufacture procedure of TFT-LCD industry is complicated. Manufacture procedure at every stage needs different spare parts, such as substrate, colorfilter, polarizer, backlight, driver IC, etc. In this industry, the material cost accounts for 60% of the total cost. And the supplies market is controlled by just a few manufacturers.The stability and quality of material supplies are challenged. Improper coordination between production plan and materials plan will cause the stock amount of the spare part or the finished product to rise. To combine the production plan and materials plan effectively is the goal of this research. In this thesis, we propose two models to efficiently adjust the production plan and materials plan and control the amount of stock. The proposed methods in this research are (a) the mix integer linear programming model, (b) the rule-base decision model. This research uses an example to verify the quality of solving of two models. The related results show that the quality of solving to be similar of two models, and as well as good tools for implementing in this industry.