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  • Search: subject:"Moving Average Control Chart"
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Year of publication
Subject
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Exponentially weighted moving average control chart 4 Statistical process control 4 Average run length 3 Average run length (ARL) 2 DGA dataset 2 Dispersion 2 Fuzzy control chart 2 Fuzzy sets 2 Generalized time-varying fast initial response (GFIR) 2 Interval Type-2 fuzzy Exponentially Weighted Moving Average Control Chart 2 Interval Type-2 fuzzy sets 2 New exponentially weighted moving average control chart (NEWMA) 2 ARL 1 Average Run Length 1 Average Time To Signal 1 Average time to signal 1 Business process management 1 Control charts 1 Cumulative sum control chart 1 Drift 1 Dry content 1 Dynamic regression 1 Economically weighted moving average control chart 1 Exponentially Weighted Moving Average Control Chart 1 Exponntially weighted moving average control chart 1 Fuzzy-Set-Theorie 1 Generalized EWMA control chart 1 Generalized likelihood ratio chart 1 Integrated EPC-SPC methodology 1 Markov Chain 1 Markov chain 1 Measurement Error 1 Measurement error 1 Median run length 1 Moving Average Control Chart 1 Non normality 1 Papierindustrie 1 Prozessmanagement 1 Pulp and paper industry 1 Pulp drying process 1
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Online availability
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Undetermined 6 Free 4 CC license 1
Type of publication
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Article 8 Book / Working Paper 2
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3 research-article 2 Article 1
Language
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English 6 Undetermined 4
Author
All
Maravelakis, Petros 3 Panaretos, John 3 Psarakis, Stelios 3 Adepoju, Akeem Ajibola 2 Ajadi, Jimoh Olawale 2 Ajibade, Ganiyu Ayodele 2 Alih, Ekele 2 Chiroma, Haruna 2 Jibasen, Danjuma 2 Kuboye, Olusola John 2 Abdulkadir, Sauta 1 Abdulkadir, Sauta S. 1 Bebbington, M. 1 Chowdhury, K. K. 1 Govindaraju, K. 1 John, Boby 1 Lai, C. D. 1 Liu, Yukun 1 Wang, Zhaojun 1 Zhang, Lingyun 1 Zou, Changliang 1
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Institution
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Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 2
Published in...
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MPRA Paper 2 International Journal of Quality & Reliability Management 1 International journal of quality & reliability management 1 Journal of Applied Statistics 1 Metrika 1 Operations research forum 1 Statistics in Transition new series (SiTns) 1 Statistics in transition : an international journal of the Polish Statistical Association and Statistics Poland 1 Stochastics and Quality Control 1
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Source
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RePEc 4 ECONIS (ZBW) 3 Other ZBW resources 2 EconStor 1
Showing 1 - 10 of 10
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Interval Type-2 fuzzy exponentially weighted moving average control chart
Adepoju, Akeem Ajibola; Abdulkadir, Sauta S.; Jibasen, … - In: Statistics in Transition new series (SiTns) 23 (2022) 1, pp. 185-200
control chart. This paper aims to develop an Interval Type-2 fuzzy Exponentially Weighted Moving Average Control Chart (IT2 …
Persistent link: https://www.econbiz.de/10013444127
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Cover Image
Interval Type-2 fuzzy exponentially weighted moving average control chart
Adepoju, Akeem Ajibola; Abdulkadir, Sauta; Jibasen, Danjuma - In: Statistics in transition : an international journal of … 23 (2022) 1, pp. 185-200
control chart. This paper aims to develop an Interval Type-2 fuzzy Exponentially Weighted Moving Average Control Chart (IT2 …
Persistent link: https://www.econbiz.de/10013419414
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Generalized new exponentially weighted moving average control charts (NEWMA) for monitoring process dispersion
Ajibade, Ganiyu Ayodele; Ajadi, Jimoh Olawale; Kuboye, … - In: International journal of quality & reliability management 41 (2024) 9, pp. 2421-2433
Persistent link: https://www.econbiz.de/10015202617
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Generalized new exponentially weighted moving average control charts (NEWMA) for monitoring process dispersion
Ajibade, Ganiyu Ayodele; Ajadi, Jimoh Olawale; Kuboye, … - In: International Journal of Quality & Reliability Management 41 (2023) 9, pp. 2421-2433
Purpose This work aims to focuse on improving the performance of the new exponentially weighted moving average (NEWMA) scheme for monitoring process dispersion. The authors use the generalized time-varying fast initial response (GFIR) to further enhance the detection ability of variability NEWMA...
Persistent link: https://www.econbiz.de/10015347140
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Minimizing the dry content variation in the pulp drying process using Six Sigma methodology
John, Boby; Chowdhury, K. K. - In: Operations research forum 2 (2021) 4, pp. 1-21
Persistent link: https://www.econbiz.de/10012794356
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An Examination of the Robustness to Non Normality of the EWMA Control Charts for the Dispersion
Maravelakis, Petros; Panaretos, John; Psarakis, Stelios - Volkswirtschaftliche Fakultät, … - 2005
The EWMA control chart is used to detect small shifts in a process. It has been shown that, for certain values of the smoothing parameter, the EWMA chart for the mean is robust to non normality. In this article, we examine the case of non normality in the EWMA charts for the dispersion. It is...
Persistent link: https://www.econbiz.de/10005837256
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EWMA Chart and Measurement Error
Maravelakis, Petros; Panaretos, John; Psarakis, Stelios - Volkswirtschaftliche Fakultät, … - 2004
Measurement error is a usually met distortion factor in real-world applications that influences the outcome of a process. In this paper, we examine the effect of measurement error on the ability of the EWMA control chart to detect out-of-control situations. The model used is the one involving...
Persistent link: https://www.econbiz.de/10005621235
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Comparisons of control schemes for monitoring the means of processes subject to drifts
Zou, Changliang; Liu, Yukun; Wang, Zhaojun - In: Metrika 70 (2009) 2, pp. 141-163
Persistent link: https://www.econbiz.de/10005061291
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A Note on Average Run Lengths of Moving Average Control Charts
Zhang, Lingyun; Lai, C. D.; Govindaraju, K.; Bebbington, M. - In: Stochastics and Quality Control 19 (2004) 1, pp. 23-27
upper bound for the ARL of a moving average control chart.  … average control chart (MA) in Wetherill and Brown (1991) is incorrect. However, we conjecture that the formula may provide an …Abstract Using a counter example, we show that the formula for computing the Average Run Lengths (ARL) of a moving …
Persistent link: https://www.econbiz.de/10014590768
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EWMA Chart and Measurement Error
Maravelakis, Petros; Panaretos, John; Psarakis, Stelios - In: Journal of Applied Statistics 31 (2004) 4, pp. 445-455
Measurement error is a usually met distortion factor in real-world applications that influences the outcome of a process. In this paper, we examine the effect of measurement error on the ability of the EWMA control chart to detect out-of-control situations. The model used is the one involving...
Persistent link: https://www.econbiz.de/10005458270
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