| Summary: | 碩士 === 國立高雄第一科技大學 === 運籌管理研究所 === 103 === TFT-LCD is a highly invested industry and various generations of panel plant restrict the process connectivity between plants because the size of the glass substrate differs from each other. In this study, we constructed a decision-support system (DSS) to help perform the allocation of TFT-LCD cutting operations among plants. Because the size of glass substrates in different generations of plant are not the same, they cannot be exchanged, nor can the machines performing the cutting be substituted. Moreover, for smooth logistics operations, it is better to avoid that the glass substrates
produced and later assembled in Taiwan to perform cutting operations oversea.
A large TFT-LCD factory contains various generations of plants. If the cutting operations depend only on human judgment, not only is the judgment time-consuming, it has relatively high probability of miscarriage. The DSS is based on scenario simulation of product-related features. It has a database comprising the specifications of the factory equipment and considers the generations of the panels, location of plants for the cutting, etc. When a cutting operation is required for some glasses, the DSS system can automatically configure the cutting operations. The DSS eliminates the need for human intervention that might result in miscarriages or unstable allocation decisions. On the contrary, with the DSS, non-specific personnel
or new staff can key in glass-related information to determine a suggested allocation plan for cutting operations. We believe that the present study on the DSS for can be used as an important basis for future cutting operations configuration.
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