Economic Design of Variable Sample Size and Variable Sampling Interval Multi-Attribute Control Charts using Skewness Reduction Approach

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Jahani, Parvaneh | 2012

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 43006 (01)
University: Sharif University of Technology
Department: Industrial Engineering
Advisor(s): Akhavan Niaki, Taghi
Abstract:
Since little attention has been given to multiattribute compared to multivariate control charts, this research is concerned with developing a new methodology to employ the multivariate exponentially weighted moving average (MEWMA) charts for multi-attribute processes. Moreover, since the variable sample size and sampling interval (VSSI) MEWMA charts detect small process mean-shifts faster than the traditional MEWMA, an economic design of VSSI MEWMA chart is proposed to obtain the optimum design parameters of the chart. The sample size, the sampling interval, and the warning/action limit coefficients are obtained using a genetic algorithm such that the expected total cost per hour is minimized. At the end, a sensitivity analysis has been carried out in this study to investigate the effects of the cost and model parameters on the solution of the economic design of VSSI MEWMA chart
Keywords:
Genetic Algorithm ; Multiattribute Processes ; Economic Design ; Multivariate Expotentially Weighted Moving Average (MEWMA)Chart ; Variable Sample Size

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