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Robust Parameter Control Approach with Cautious Control Strategy for Attributes Quality Characteristics Based on Logistic Regression Model
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PAN Ershun,JIN Yao,YE Liang
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(School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200240, China)
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Abstract Considering attributes quality characteristics existed in manufacturing processes, this article proposed the research on the modeling and optimization problem utilizing regression modelbased robust parameter control (RMRPC) approach. The idea of cautious control strategy was introduced for increasing the robust of RMRPC approach applied in uncertainty conditions. A logistic regression method combined with RMRPC approach was brought to model the problem. A case study of surface mounted technology (SMT) was presented to illustrate the application of this technique. The results show that this method is an effective approach to improve the quality and robust of the manufacturing process.
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Received: 25 September 2009
Published: 31 December 2010
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