| Summary: | 碩士 === 國立臺灣科技大學 === 工業管理系 === 89 === The problem of optimization of multi-response in production process’ level was almost solved by engineer’s experience. They were cause different responses and found every responses’ optimization parameter level. According to these different responses’ different optimization parameter level, they must decide the best parameter level combination by self. Then, they could use these production process’ parameter level combination to produce. Nonetheless, when every responses have strong correlation or they have too many response, it was very difficult to decide the best parameter level combination by engineer. When they decide every responses’ parameter level, the problem of conflict among the every responses’ parameter will happen.
This research will integrate Orthogonal Array Table、Principal Component Analysis and Grey System Theory. We create 「Principal Component & Grey system method」. This method solve the problem of optimization of multi-response in production process’ parameter level. According to this method, the engineer can find the optimization of multi response in production process’ parameter level combination very fast.
In order to prove this method’s effective and practical, we apply this method to polymer light-emitting display ( PLED) production process. We want to use 「Principal Component & Grey system method」 to find the best production process’ parameter level combination. We hope we can reduce this company’s experiment cost and reduce the time of new product from experiment stage into production stage.
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