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Publication: , 1899
URN: urn:nbn:de:kobv:109-1-15420385
Path:
Volume Imprint

Stochastics and quality control

Periodical

Title:
Stochastics and quality control
Publication:
Berlin: ˜Deœ Gruyter
Note:
Gesehen am 11.09.17
355!URL-Ä(29-06-22)
Scope:
Online-Ressource
ISSN:
2367-2404
ZDB-ID:
2905267-1 ZDB
VÖBB-Katalog:
35425625
Previous Title:
Economic quality control
Keywords:
Zeitschrift
Classification:
Technik
Collection:
Technik
Copyright:
Rights reserved
Accessibility:
Eingeschränkter Zugang mit Nutzungsbeschränkungen
Title:
Stochastics and quality control
Publication:
Berlin: ˜Deœ Gruyter
Note:
Gesehen am 11.09.17
355!URL-Ä(29-06-22)
Scope:
Online-Ressource
ISSN:
2367-2404
ZDB-ID:
2905267-1 ZDB
VÖBB-Katalog:
35425625
Previous Title:
Economic quality control
Keywords:
Zeitschrift
Classification:
Technik
Collection:
Technik
Copyright:
Rights reserved
Accessibility:
Eingeschränkter Zugang mit Nutzungsbeschränkungen

˜Theœ EWMA Wilcoxon Signed-Rank Chart with Variable Sampling Interval

Article

Author:
Shanshool, Mohammed Kadhim
Mahadik, Shashibhushan B.
Godase, Dadasaheb G.
Title:
˜Theœ EWMA Wilcoxon Signed-Rank Chart with Variable Sampling Interval
Publication:
Berlin: ˜Deœ Gruyter, 2025
Language:
English
Information:
Abstract: In this paper, we propose a nonparametric exponentially weighted moving average (EWMA) control chart with a variable sampling interval (VSI) for monitoring the median of a continuous symmetric process distribution. The proposed chart, referred to as the VSI EWMA WSR chart, is based on the Wilcoxon Signed-Rank (WSR) test. Its out-of-control statistical performance is numerically compared with that of the fixed sampling interval (FSI) EWMA WSR chart when the underlying process distributions are normal, uniform, Laplace, scaled Student’s t, and logistic. The metric used for the performance comparisons is the steady-state average time to signal, which is determined through Monte Carlo simulations. The simulation results reveal that the VSI EWMA WSR chart significantly outperforms the FSI EWMA WSR chart in detecting the median shifts of all sizes across all distributions. The practical utility of the proposed chart is demonstrated using both simulated and real datasets. Our findings underscore the efficacy of the VSI EWMA WSR chart, highlighting its value as a tool for quality control in manufacturing and other industries.
Scope:
Online-Ressource
Note:
Kein Open Access
Archivierung/Langzeitarchivierung gewährleistet
Keywords:
Statistical Process Control ; Nonparametric Charts ; Adaptive Control Charts ; Variable Sampling Interval ; Average Time to Signal ; 62Pxx ; 62Gxx
Classification:
Technik
Wirtschaft
DDC Group:
330 Wirtschaft
URN:
urn:nbn:de:101:1-2511010636142.682559897217
Collection:
Technik
Wirtschaft
Copyright:
Rights reserved
Accessibility:
Eingeschränkter Zugang mit Nutzungsbeschränkungen
Author:
Shanshool, Mohammed Kadhim
Mahadik, Shashibhushan B.
Godase, Dadasaheb G.
Title:
˜Theœ EWMA Wilcoxon Signed-Rank Chart with Variable Sampling Interval
Publication:
Berlin: ˜Deœ Gruyter, 2025
Language:
English
Information:
Abstract: In this paper, we propose a nonparametric exponentially weighted moving average (EWMA) control chart with a variable sampling interval (VSI) for monitoring the median of a continuous symmetric process distribution. The proposed chart, referred to as the VSI EWMA WSR chart, is based on the Wilcoxon Signed-Rank (WSR) test. Its out-of-control statistical performance is numerically compared with that of the fixed sampling interval (FSI) EWMA WSR chart when the underlying process distributions are normal, uniform, Laplace, scaled Student’s t, and logistic. The metric used for the performance comparisons is the steady-state average time to signal, which is determined through Monte Carlo simulations. The simulation results reveal that the VSI EWMA WSR chart significantly outperforms the FSI EWMA WSR chart in detecting the median shifts of all sizes across all distributions. The practical utility of the proposed chart is demonstrated using both simulated and real datasets. Our findings underscore the efficacy of the VSI EWMA WSR chart, highlighting its value as a tool for quality control in manufacturing and other industries.
Scope:
Online-Ressource
Note:
Kein Open Access
Archivierung/Langzeitarchivierung gewährleistet
Keywords:
Statistical Process Control ; Nonparametric Charts ; Adaptive Control Charts ; Variable Sampling Interval ; Average Time to Signal ; 62Pxx ; 62Gxx
Classification:
Technik
Wirtschaft
DDC Group:
330 Wirtschaft
URN:
urn:nbn:de:101:1-2511010636142.682559897217
Collection:
Technik
Wirtschaft
Copyright:
Rights reserved
Accessibility:
Eingeschränkter Zugang mit Nutzungsbeschränkungen
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