Results 161 to 170 of about 17,058 (192)

Fuzzy Shewhart Control Charts

2016
Process Control is the active correction of a process based on the results of process monitoring. Once the process monitoring tools have detected an assignable cause, this cause is removed to bring the process back into control. This chapter presents the process control techniques under fuzziness.
Cengiz Kahraman, Murat Gülbay, Eda Boltürk   +2 more
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Walter Andrew Shewhart

2001
Shewhart was the father of statistical methods of quality control. His methods were closely related to an epistemology of physics and application to economics and industry in his time.
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Shewhart Control Charts

1979
The concept of a control chart was evolved by Dr. Shewhart in America in 1924 — the initial development in Britain being mainly by Dr. Dudding and W. Jennett. Dr. Shewhart suggested that the control chart should have three main objectives.
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Combined Shewhart–EWMA and Shewhart–CUSUM monitoring schemes for time between events

Quality and Reliability Engineering International
AbstractTo improve the detecting abilities of upward and downward parameter changes in high‐quality process, two combined schemes by integrating memory‐type, that is, exponentially weighted moving average (EWMA) or cumulative sum (CUSUM), and memoryless, that is, Shewhart, are proposed for monitoring the time between events (TBE), which is modeled as ...
Xuelong Hu, Fan Xia, Jiujun Zhang, Zhi Song   +3 more
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Shewhart’s Idea of Predictability and Modern Statistics

2015
Shewhart’s view on statistical control as presented in his 1931 book is connected to predictability and it seems to be inspired by philosophical theories. At that time, there was no proper statistical framework available when Shewhart implemented his ideas on statistical control.
Di Bucchianico, A., Van Den Heuvel, E.R.
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Qualitätsregelkarten nach Shewhart

1998
Die „klassischen“ QRK fur quantitative Merkmale nach Shewhart basieren vornehmlich auf dem Istzustand der Fertigung.
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Analysis of water consumption in toilets employing Shewhart, EWMA, and Shewhart-EWMA combined control charts

Journal of Cleaner Production, 2019
Abstract The objective of this article is to statistically analyze and apply process control on water consumption in toilet flush devices in a public university building using Shewhart, EWMA and combined Shewhart-EWMA control charts. Data such as water volume, number of activations and flush-time duration were collected utilizing Smart-Meter sensors.
Lucas Lepinski Golin FREITAS, Elisa Henning, Andreza Kalbusch, Andrea Cristina Konrath, Olga Maria Formigoni Carvalho Walter   +4 more
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Combined Shewhart–EWMA control charts with estimated parameters

Journal of Statistical Computation and Simulation, 2010
Shewhart and EWMA control charts can be suitably combined to obtain a simple monitoring scheme sensitive to both large and small shifts in the process mean. So far, the performance of the combined Shewhart–EWMA (CSEWMA) has been investigated under the assumption that the process parameters are known.
CAPIZZI, GIOVANNA, MASAROTTO, GUIDO
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Standardization of Shewhart Control Charts

Journal of Quality Technology, 1989
(1989). Standardization of Shewhart Control Charts. Journal of Quality Technology: Vol. 21, No. 4, pp. 287-289.
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Runs rules for bivariate Shewhart chart

IWSM. 1998 3rd International Workshop on Statistical Metrology (Cat. No.98EX113), 2002
Among the various statistical process control (SPC) charts, the Shewhart chart (Shewhart, Economic Control of Quality Improvement, Van Nostrand Reinhold, 1931) has been the most used control chart in practice due to its simplicity and explicit representation.
Chen, Argon, Guo, Ruey-Shan, Lee, Chun-Lin   +2 more
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