A nonparametric generally weighted moving average sign chart based on repetitive sampling

ASIAIR > College of Management > Department of Business Administration > Journal Article > Item 310904400/112753

Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/112753

Title:	A nonparametric generally weighted moving average sign chart based on repetitive sampling
Authors:	Jen-Hsiang, C;Chen, Jen-Hsiang;Lu, Shin-Li;Lu, Shin-Li;徐世輝;SHEU, SHEY-HUEI
Contributors:	經營管理學系
Keywords:	Nonparametric sign chart, EWMA, GWMA, Repetitive sampling
Date:	2019-09
Issue Date:	2020-08-27 07:29:49 (UTC+0)
Publisher:	亞洲大學
Abstract:	Most control charts that assume quality characteristics of interest follow a normal or specific distribution. However, in reality there is often limited or no information regarding the underlying process distribution. Therefore, in recent years, nonparametric techniques for quality control have been developed. In this paper, the nonparametric generally weighted moving average sign chart based on repetitive sampling (hereinafter RS-GWMA sign chart) is proposed to improve performance capability of existing charts in small process shifts. Simulation studies show that the nonparametric RS-GWMA sign chart with large design and adjustment parameters outperforms competing charts considered in this article. The fill volume of soft-drink beverage bottles is as industrial example used to illustrate the application of the proposed nonparametric RS-GWMA sign chart.
Relation:	COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
Appears in Collections:	[Department of Business Administration] Journal Article

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