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| Multivariate Exponentially Weighted Moving Average Control of Error Sources in Batch Production of Parts |
| LI Sike,MIAO Rui,ZHAO Yanzheng，JIANG Zhibin |
| (School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200240, China) |
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Abstract To statistically control the crosscorrelation of part dimension errors in batch production, spatial relationship between part dimensional features and error sources was established based on analysis of part dimension error and its propagation model. Multivariate exponentially weighted moving average (MEWMA) was adopted to control error sources in batch production of parts, and a method to control part dimension error in batch production through statistical control of error resources which are taken as inputs was proposed. Efficiency and reliability of this model were verified by simulation analysis based on comparison of MEWMA control of error sources and Shewart control of dimension deviations in step abnormal pattern, singular value abnormal pattern and trend abnormal pattern of error sources.
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Received: 12 August 2009
Published: 29 April 2010
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