| Summary: | 碩士 === 國立中央大學 === 工業管理研究所碩士在職專班 === 97 === Many quality tools and techniques have been developed and deployed extensively in the industry-wide to help the organization to identify and determine the significant characteristic of product and critical process in the organization. Those quality tools are adopted in the TFT-LCD industry too. One of the most commonly used techniques is the failure mode and effect analysis (FMEA) that helps to identify and determine the significant characteristic of products and critical process in the organizations. The key characteristic and critical process is determined if its RPN is the biggest or bigger than a specific one. Although there are guidelines for the scoring, the outcome is relatively subjective. Although there are guidelines for the scoring, the outcome is relatively subjectively.
This research is proposing another data mining procedure and collecting the dataset from a local LCD manufacturer. We attempt to aim at the Voice Of Customer (VOC), i.e. what customer requirements to our product are and transfer the VOC to critical to quality. The one of the decision tree techniques, Classification and Regression tree (CART) will be adopted. . With CART modeling, the decision tree inducts the processes that affect the total quantity of product rank per lot. Further, product rank are grouped and analyzed by the clustering model. Also we define an index to decide the equipment performance. Based on the result, the superior and the inferior equipments of each process are identified. The critical path is composed of the superior equipments. Meanwhile, the result can help the management to analyze the variation between equipments.
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