| Summary: | 碩士 === 國立交通大學 === 工業工程與管理系所 === 105 === In this thesis, we deal with the group supplier selection problem. Due to advanced production technology, the decision maker is hard to select the processes with extremely high yields and small differences between each other. Process capability indices (PCIs) establish the relationships between the actual process performance and the manufacturing specification. Therefore, based on the processes with extremely low fraction of nonconformities, PCIs have been extensively used to evaluate and measure whether the process meets the specifications and they also provide quality assurance at the same time. This research considers process capability index for one-sided processes with multiple independent manufacturing lines, CpuM and selects a group containing the best suppliers. However, the conventional multiple comparisons techniques for evaluating different means are inadequate to evaluate yields indices. Thus, we adopt the Bonferroni method and subtraction test statistic to tackle the group selection problem. Critical values for testing procedure, correct selection assurance, and sample sizes required for a designated selection power are also investigated. Finally, we compare our method by Multiple Comparisons with the Best (MCB) method under different parameters and estimations in examples. It is noted that the decisions which Bonferroni and MCB methods make are not quite similar.
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