| Summary: | 碩士 === 元智大學 === 工業工程與管理學系 === 103 === In 2015, the high-tech industries will be actively involved in the emerging application and development of the smart handheld products and wearable devices. These products are made by the semiconductor industry can drive the supply chain of Taiwan’ companies for shipping more aggressively. Hence, how to increase production efficiency and reduce production cost are the important issues for the semiconductor industries. This study applied the Clonal Selection Algorithm (CSA) on the problems of facilities layout for semiconductor fabrication plant. We proposed a methodology which can solve this problem with acceptable processing time and solution quality. First, we used population cytogenetic of the CSA by the way of selection, copy, mutation, receptor editing and then combined the Quadratic Set Covering Problem (QSCP) to solve the 12 different sets facilities layout test problems with six different material handling modes. Using the Taguchi methods to find optimal parameters setting in the algorithm for minimize the material handling costs. The results shows that CSA in the test problems with fewer number of workstation has reached the optimal solution and even better, and the error ratio of the optimal solution are within 2%. However, the performance of 20 workstations test problems are not good enough, but the solution are closer to the optimal solution.
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