Implementing Statistical Process Control Using SurrogateVariables

• Main Authors: Jyun-You Chiang, 江俊佑
• Other Authors: Tzong-Ru Tsai
• Format: Others
• Language: en_US
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/04051179267601622475

博士 === 淡江大學 === 管理科學學系博士班 === 100 === In this dissertation, two approaches are proposed for statistical quality control applications based on surrogate variables. A two-stage economic control chart is developed in first approach to monitor either the performance variable or its surrogate variable in an alternating fashion to quickly alarm for out-of-control signals caused by the mean shift or the variance shift of the performance variable. In second approach, an optimum screening procedure is developed based on a new generalized profit function using the surrogate variable of the performance variable to set up the optimal process mean level of the performance variable and the screening limits. Numerical studies are conducted to evaluate the performance of the proposed methods. Examples are presented to demonstrate the applications of two proposed methods. Both proposed approaches result in a significant improvement over the existing methods in term of the economic viewpoint.