運用修正多重訊號雜音比於多重品質特性射出成形製程參數最佳化

• Main Author: 江舒渝
• Other Authors: 陳文欽
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/56858337034400822405

碩士 === 中華大學 === 工業工程與系統管理學系(所) === 96 === ABSTRACT In the year of technology, the design of product is more complicated and multiple-attributed than before. Therefore, the quality of product usually is multiple-response. The process parameter design is one of major influential factors for production yield rate and cost. Nowadays, production manager is urging for seeking a suitable and effective technique of multiple-quality response process parameter optimization. Numerous researches had provided several kind technique of multiple-quality response process parameter optimization. The revised Taguchi kind technique is easier for application. Multi-Response Signal to Noise Ratio (MRSN Ratio) technique is one of revised Taguchi kind technique for using in multiple-quality response process parameter optimization. However, the assignment of each quality response weight in MRSN Ratio technique is a subjective or empirical process that may be unrealistic and possibly cause the misleading result of multiple-quality response process parameter optimization. This research applies Interpretive Structural Modeling (ISM) to attain the dependent and feedback relationship of dimension and criteria for product quality characteristics, applies Analytic Network Process (ANP) to replace the conventional quality response weight assignment method in MRSN Ratio technique, and proposes a novel revised MRSN Ratio technique. The implementation result of revised MRSN Ratio technique for plastic injection modeling process case show that revised MRSN Ratio technique can help manufacturer to get the most suitable process parameter optimization than conventional techniques.