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Optimization of design parameters for x̄ control charts with multiple assignable causes
Journal article   Peer reviewed

Optimization of design parameters for x̄ control charts with multiple assignable causes

Fong-Jung Yu and Jiang-Liang Hou
Journal of Applied Statistics, Vol.33(3), pp.279-290
04/2006

Abstract

Economic design Multiple assignable causes Statistical Process Control (SPC) Variable Sampling Interval (VSI) x control charts
Duncan's economic model of Shewhart's original x̄ chart has established its optimal and economic application for processes with the Markovian failure characteristic. As the sample statistics show some indications of process variations, the variable-sampling-interval (VSI) control charts perform more effectively than the fixed sampling interval (FSI) ones due to a higher frequency in the sampling rate. Regarding the economic design of control charts, most studies have been dedicated to the FSI scheme. In 1998, Bai & Lee considered the production process with a single assignable cause and proposed an economic VSI design for a general x̄ control chart. However, in real cases, there are multiple assignable causes in the production process. Therefore, concerning the operation characteristics of the real industry, this research develops an economic model for the VSI control chart with multiple assignable causes based on stochastic and statistics theory and determines the optimal design parameters of the chart. A numerical example is also provided to demonstrate the effectiveness of the proposed model and the result indicates that VSI performs more effectively than a FSI control chart. © 2006 Taylor & Francis.

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