The Research Of Equipment Qualification And Maintenance Based On Capacity Optimization For Company A

The product mix and manufacturing process are extremely complex in semiconductor industry. Numerous types of products are being processed simultaneously by hundreds of machines. This industry is also a capital intensive industry. The semiconductor companies have to make effort to satisfy the customer demands due to increasingly fierce competition in the market and customer demand diversity. On the one hand requirements enterprises continuously improve research and development ability, to design the new personalized products to meet the requirements of different customers, on the other hand require companies to improve production the flexibility of the system and the product quality, reduce cost, shorten delivery date. For semiconductor enterprise, the largest investment cost comes from the huge number of manufacturing equipment. How to maximize the production capacity of the equipment is the most effective ways to reduce costs. Combining with the "testing equipment qualification optimization decision and application", in order to optimize the production capacity of the test station, mainly studies the following content: the process of capacity planning, established an optimization model for qualification plan, use the production capacity of the common equipment allocated capacity optimization and formulate the production plan. It had good effect in practice. And it can also apply to other station. The research focus on the establishment of the optimal model for equipment qualification plans, the distribution of production capacity of the equipment. It can make the testing station will not become the bottleneck, and meet the production management requirements.The main contribution of this thesis provides a feasible optimization method of equipment qualification for semiconductor industry, the realization of the optimization of the productivity. But it also provides a method for how to optimize production capacity, improve the method of ROI for the enterprise which use the general-purpose equipment.