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  • Search: subject:"Process control chart"
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Year of publication
Subject
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Noise variables 2 Process capability indices 2 Process control chart 2 Robust design experiment 2 Robustness 2 Simulation 2 Business process management 1 Graphical Interface 1 Grey Model 1 Process Control Chart 1 Product Index Prediction 1 Production control 1 Produktionssteuerung 1 Prozessmanagement 1 Quality management 1 Qualitätsmanagement 1 Robust statistics 1 Robustes Verfahren 1 Statistical quality control 1 Statistische Qualitätskontrolle 1 Theorie 1 Theory 1
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Undetermined 3
Type of publication
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Article 3
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1 research-article 1
Language
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English 3
Author
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Mondal, S. C. 2 Burstein, Leonid 1
Published in...
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International Journal of Applied Management Sciences and Engineering (IJAMSE) 1 International Journal of Quality & Reliability Management 1 International journal of quality & reliability management 1
Source
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Other ZBW resources 2 ECONIS (ZBW) 1
Showing 1 - 3 of 3
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‘Grey Model'-Based Simulation Tool for Predictive Product Quality Control
Burstein, Leonid - In: International Journal of Applied Management Sciences … 4 (2017) 2, pp. 13-26
a process control chart with the predicted product quality index. …A modified grey model is represented for predicting the product quality index and generating the grey process control … chart. The model considers the first sample datum in the numerical solution of the whitened differential equation. This …
Persistent link: https://www.econbiz.de/10012042990
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Process capability – a surrogate measure of process robustness: a case study
Mondal, S. C. - In: International Journal of Quality & Reliability Management 33 (2016) 1, pp. 90-106
variation is studied using a general purpose process control chart ( R -chart). Findings – The results provide useful …
Persistent link: https://www.econbiz.de/10014802304
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Process capability - a surrogate measure of process robustness : a case study
Mondal, S. C. - In: International journal of quality & reliability management 33 (2016) 1, pp. 90-106
Persistent link: https://www.econbiz.de/10011459916
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