GS2: An optimized attribute control chart to monitor process variability

Erica Leandro Bezerra, Linda Lee Ho and Roberto da Costa Quinino

International Journal of Production Economics, 2018, vol. 195, issue C, 287-295

Abstract: Precise measurement of quality characteristics is expensive and time-consuming and requires instrument calibration. Furthermore, in destructive experiments, the sampled units are damaged and must be discarded. In these cases, an alternative is the classification of each sampled unit into a group using a device such as gauge rings. Operationally, this method is faster, and no measurement is taken on the sampled unit. In this paper, a new attribute control chart is proposed to monitor process variability. The statistic GS2 is calculated, and the chart signals whenever GS2>CLG, where CLG is the control limit that is determined to satisfy a desired value of ARL0 and to minimize ARL1.

Keywords: S2 control chart; ARL1; ARL0; Genetic algorithm; Average inspection cost (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:195:y:2018:i:c:p:287-295

DOI: 10.1016/j.ijpe.2017.10.023

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