| Summary: | 碩士 === 國立政治大學 === 會計學系 === 88 === Abstract
The development of semiconductor industry, especially the semiconductor manufacturing and foundry, is one of the main contributors that win Taiwan worldwide attention and upgrade the rank of Taiwan’s competitive advantage.
In recent years, the continuous growth of semiconductor industry has brought about shortage of supply. Therefore, how to manage production capacity effectively and to meet market needs has become a critical management issue.
The focus of capacity management in fab is on manufacturing equipment, because it is the equipment that makes manufacturing activities work. In order to study how to fully utilize equipment, this research emphasizes searching for the influencing factors for equipment efficiency in semiconductor manufacturing, which is often measured by OEE. Those factors are designed as product complexity, process complexity, and efficiency drivers.
Based on theoretical foundation, this study comes out three hypotheses as follows:
1. Product complexity negatively influences equipment efficiency.
2. Process complexity negatively influences equipment efficiency.
3. Efficiency driver positively influences equipment efficiency.(Efficiency driver is not clear for me here)
The research proceeds with two methods: field study and field empirical study. For the former, observation, document reading and interview techniques are adopted one to three days a week, from September 1999 to June 2000. As to the latter, daily data from one semiconductor manufacturing fab are collected. The sample size is 4382. Two analyses are done: one is specified by OEE and the other is by DEA, which is for sensitivity analysis.
The empirical results of both analyses indicate that process complexity and efficiency driver empirically has significant negative and positive effects on equipment efficiency respectively. The results support two hypotheses of this study.
The empirical results suggest that:
1. In general, process complexity in terms of quality, R&D and batching activities has negative influence on equipment efficiency. Therefore, the management should make efforts on managing the monitor and test, internal failure, R&D and batching activities.
2. The auto-operation status can help enhance equipment efficiency, and thus should be taken into account when designing all the relevant activities. Besides, it should be emphasized if any out-of-order status are confronted, all supporting personnel, such as equipment engineers, should try as soon as possible to get equipment repaired and restored to work automatically.
Results from sensitivity analysis arrive at roughly the same conclusions. Therefore , this research should be reliable and valid, and the findings can be possibly good reference for the management in semiconductor industry and future researchers.)
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