Measuring the performance improvement of a double generally weighted moving average control chart

Authors:
Chi-Jui Huang;Shih-Hung Tai;Shin-Li Lu
Affiliations:
Department of International Trade, Jinwen University of Science and Technology, No. 99, Anzhong Rd., Xindian Dist., New Taipei City 23154, Taiwan;Department of Industrial Management, Lunghwa University of Science and Technology, No. 300, Sec. 1, Wanshou Rd., Guishan Shiang, Taoyuan County 33306, Taiwan;Department of Industrial Management and Enterprise Information, Aletheia University, 32, Chen-Li Street, Tamsui, New Taipei City 251, Taiwan
Venue:
Expert Systems with Applications: An International Journal
Year:
2014

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Abstract

This study extends the sum of squares generally weighted moving average (SS-GWMA) control chart by using the double generally weighted moving average (DGWMA) technique. The proposed expanded chart is called the sum of squares double generally weighted moving average (SS-DGWMA) control chart. Simulations are performed to evaluate the average run length (ARL) and standard deviation of run length (SDRL) of the SS-DGWMA, SS-DEWMA, and SS-GWMA charts. An extensive comparison shows that the optimal SS-DGWMA chart is superior to the optimal SS-GWMA and SS-DEWMA charts in all studied scenarios. The SS-DGWMA chart is also easy to implement and to interpret the abnormal signals.