The one-sided variable sampling interval exponentially weighted moving average X̅ charts under the gamma distribution

Recently, adaptive quality control charts have been frequently utilised in diverse production and manufacturing industries to ensure process stability and maintain a desirable level of product quality. Among these charts, the variable sampling interval (VSI) exponentially weighted moving average (EW...

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Main Authors: Goh, Kai Le, Teoh, Wei Lin, Teoh, Jing Wei, Chong, Zhi Lin, Chew, Xinying
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2024
Online Access:http://journalarticle.ukm.my/24983/
http://journalarticle.ukm.my/24983/1/SD%2024.pdf
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author Goh, Kai Le
Teoh, Wei Lin
Teoh, Jing Wei
Chong, Zhi Lin
Chew, Xinying
author_facet Goh, Kai Le
Teoh, Wei Lin
Teoh, Jing Wei
Chong, Zhi Lin
Chew, Xinying
author_sort Goh, Kai Le
building UKM Institutional Repository
collection Online Access
description Recently, adaptive quality control charts have been frequently utilised in diverse production and manufacturing industries to ensure process stability and maintain a desirable level of product quality. Among these charts, the variable sampling interval (VSI) exponentially weighted moving average (EWMA) X̅ chart is known for its sensitivity and efficiency in monitoring the process mean shifts. However, the existing literature on the design of the VSI EWMA X̅ chart is predicated on the presumption that the underlying process adheres to a normal distribution. This normality assumption is often violated in manufacturing settings, where many practical processes tend to follow non-normal or skewed distributions. Therefore, this paper investigates the performance of one-sided VSI EWMA X̅ charts designed under the normal distribution model, when the quality characteristics of interest follow a gamma distribution. Our findings indicate that the in-control average time to signal and the standard deviation of the time to signal for the one-sided VSI EWMA X̅ charts are significantly deteriorated under the gamma distribution. To tackle this problem, this paper proposes new charting parameters specifically derived for the one-sided VSI EWMA X̅ charts under the gamma distribution. Besides, comparative analyses show that the proposed one-sided VSI EWMA X̅ charts exhibit the best detection speed compared to the one-sided Shewhart X̅ and EWMA X̅ charts, when the process follows a gamma distribution. An illustrative application of the one-sided VSI EWMA X̅ chart for monitoring the weight of bias tires in scooter manufacturing is provided at the end of this paper.
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spelling oai:generic.eprints.org:249832025-03-19T07:32:32Z http://journalarticle.ukm.my/24983/ The one-sided variable sampling interval exponentially weighted moving average X̅ charts under the gamma distribution Goh, Kai Le Teoh, Wei Lin Teoh, Jing Wei Chong, Zhi Lin Chew, Xinying Recently, adaptive quality control charts have been frequently utilised in diverse production and manufacturing industries to ensure process stability and maintain a desirable level of product quality. Among these charts, the variable sampling interval (VSI) exponentially weighted moving average (EWMA) X̅ chart is known for its sensitivity and efficiency in monitoring the process mean shifts. However, the existing literature on the design of the VSI EWMA X̅ chart is predicated on the presumption that the underlying process adheres to a normal distribution. This normality assumption is often violated in manufacturing settings, where many practical processes tend to follow non-normal or skewed distributions. Therefore, this paper investigates the performance of one-sided VSI EWMA X̅ charts designed under the normal distribution model, when the quality characteristics of interest follow a gamma distribution. Our findings indicate that the in-control average time to signal and the standard deviation of the time to signal for the one-sided VSI EWMA X̅ charts are significantly deteriorated under the gamma distribution. To tackle this problem, this paper proposes new charting parameters specifically derived for the one-sided VSI EWMA X̅ charts under the gamma distribution. Besides, comparative analyses show that the proposed one-sided VSI EWMA X̅ charts exhibit the best detection speed compared to the one-sided Shewhart X̅ and EWMA X̅ charts, when the process follows a gamma distribution. An illustrative application of the one-sided VSI EWMA X̅ chart for monitoring the weight of bias tires in scooter manufacturing is provided at the end of this paper. Penerbit Universiti Kebangsaan Malaysia 2024 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/24983/1/SD%2024.pdf Goh, Kai Le and Teoh, Wei Lin and Teoh, Jing Wei and Chong, Zhi Lin and Chew, Xinying (2024) The one-sided variable sampling interval exponentially weighted moving average X̅ charts under the gamma distribution. Sains Malaysiana, 53 (12). pp. 3437-3462. ISSN 0126-6039 https://www.ukm.my/jsm/english_journals/vol53num12_2024/contentsVol53num12_2024.html
spellingShingle Goh, Kai Le
Teoh, Wei Lin
Teoh, Jing Wei
Chong, Zhi Lin
Chew, Xinying
The one-sided variable sampling interval exponentially weighted moving average X̅ charts under the gamma distribution
title The one-sided variable sampling interval exponentially weighted moving average X̅ charts under the gamma distribution
title_full The one-sided variable sampling interval exponentially weighted moving average X̅ charts under the gamma distribution
title_fullStr The one-sided variable sampling interval exponentially weighted moving average X̅ charts under the gamma distribution
title_full_unstemmed The one-sided variable sampling interval exponentially weighted moving average X̅ charts under the gamma distribution
title_short The one-sided variable sampling interval exponentially weighted moving average X̅ charts under the gamma distribution
title_sort one-sided variable sampling interval exponentially weighted moving average x̅ charts under the gamma distribution
url http://journalarticle.ukm.my/24983/
http://journalarticle.ukm.my/24983/
http://journalarticle.ukm.my/24983/1/SD%2024.pdf