| Summary: | 碩士 === 國立臺灣科技大學 === 工業管理系 === 95 === In traditional industry, FMS has become a common production method to solve the change of the environment of production. The throughout efficiency of FMS is belong to the implement of grouping method in machine grouping, and the result of grouping played an important role in this perspective.
As so far, most research took a lot of care on the results of the planned objective function by counting the index of efficiency. However, the grouping method be chosen is not perfectly in hypothesis, including the sequences of production process, the direct and indirect relationship between machines and the dissimilar in parameters of hypothesis. Those factors do affect on the result of grouping. Once a new part or process added in the original production system, the lack of flexibility in the re-operation of grouping also be the problem. This research hoped to improve the grouping method and solved the probably problem and restricts by using the social network analysis.
In the process of the part manufacturing in the FMS system, the log file will produce automatically. Social network analysis method used the inside information to count the relationship between machines and transform into the matrices of correlation. Finally it combined the Linkage grouping method to get the grouping results. This research applied many process routing data to compute the results of grouping in each chosen reference, and compared to the original grouping method to establish the supporting foundation of this viewpoint.
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