Schedule reentrant flexible flow shop with eligibility the furnace introduction of wafer fabrication case
碩士 === 輔仁大學 === 企業管理學系管理學碩士班 === 100 === In the world of fierce global competition. All corporations are pursuing the goal of maximizing effective and efficiency. An excellent operations scheduling can reduces production cost by arranging the orders. In semiconductor manufacturing process, the devic...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2012
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| Online Access: | http://ndltd.ncl.edu.tw/handle/85953717476540949799 |
| Summary: | 碩士 === 輔仁大學 === 企業管理學系管理學碩士班 === 100 === In the world of fierce global competition. All corporations are pursuing the goal of maximizing effective and efficiency. An excellent operations scheduling can reduces production cost by arranging the orders.
In semiconductor manufacturing process, the device in the furnace introduction of the processing time than the other equipment so long, so how can use scheduling efficiency to reduce working hours is very important. Eligibility problems are in semiconductor industry in our study. This problems are known and cannot resolve. Therefore, ACO-GA algorithm proposed in this study. Based on the concept of ant colony. The proposed the ACO-GA algorithm. The algorithm can solve the huge problems in a very short period of time.
In this study, the ACO-GA algorithm and ant colony algorithm and genetic algorithms and the current status of the case company used the non-delay row cheng way to do a practical comparison. The results showed that the ACO-GA algorithm proposed in this study. Huge practical problems can be solved in a very short period of time. And effective to improve the machine because of the lengthy processing time and eligibility and returnee production efficiency. Confirmed that ACO-GA algorithm and ant colony algorithm and genetic algorithm compared to the case used by companies of the non-delay the current status of solution that the average improvement rate of 6.665% and 2.205% and 1.1175%. Confirmed that ACO-GA algorithm has a good quality of the solution than in practical solutions to enhance the production efficiency of the current situation and solving the performance and efficiency are better than the company the status of solution can be used as enterprise applications in the future or the future of academic research reference.
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