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  • Search: subject:"statistical process control (SPC)"
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Year of publication
Subject
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Statistical process control (SPC) 4 ARIMA models 2 Analysis of variance (ANOVA) 2 Autocorrelation 2 Cause and effect diagram 2 Cold rolling 2 Critical to quality (CTQ) characteristic 2 Dynamic behavior 2 EWMA control charts 2 Failure modes and effects analysis (FMEA) 2 Linear trend models 2 MEWMA control chart 2 Physical mechanism (PM) analysis 2 Process monitoring charts (PMC) 2 Production control 2 Produktionssteuerung 2 Quality management 2 Qualitätsmanagement 2 Statistical quality control 2 Statistische Qualitätskontrolle 2 ARMA model 1 ARMA-Modell 1 Autokorrelation 1 Business process management 1 Multivariate Analyse 1 Multivariate analysis 1 Prozessmanagement 1 Theorie 1 Theory 1 Time series analysis 1 Zeitreihenanalyse 1
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Online availability
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Free 4
Type of publication
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Article 4
Type of publication (narrower categories)
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Article 2 Article in journal 2 Aufsatz in Zeitschrift 2
Language
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English 4
Author
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Haridy, Salah 2 Rao, P. Srinivasa 2 Sharma, G.V.S.S. 2 Wu, Zhang 2
Published in...
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Journal of Industrial Engineering International 1 Journal of Industrial Engineering and Management (JIEM) 1 Journal of industrial engineering and management : JIEM 1 Journal of industrial engineering international 1
Source
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ECONIS (ZBW) 2 EconStor 2
Showing 1 - 4 of 4
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A DMAIC approach for process capability improvement an engine crankshaft manufacturing process
Sharma, G.V.S.S.; Rao, P. Srinivasa - In: Journal of Industrial Engineering International 10 (2014), pp. 1-11
The define-measure-analyze-improve-control (DMAIC) approach is a five-strata approach, namely DMAIC. This approach is the scientific approach for reducing the deviations and improving the capability levels of the manufacturing processes. The present work elaborates on DMAIC approach applied in...
Persistent link: https://www.econbiz.de/10011640809
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Cover Image
A DMAIC approach for process capability improvement an engine crankshaft manufacturing process
Sharma, G.V.S.S.; Rao, P. Srinivasa - In: Journal of industrial engineering international 10 (2014), pp. 1-11
The define–measure–analyze–improve–control (DMAIC) approach is a five-strata approach, namely DMAIC. This approach is the scientific approach for reducing the deviations and improving the capability levels of the manufacturing processes. The present work elaborates on DMAIC approach...
Persistent link: https://www.econbiz.de/10011556512
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Cover Image
Univariate and multivariate control charts for monitoring dynamic-behavior processes: A case study
Haridy, Salah; Wu, Zhang - In: Journal of Industrial Engineering and Management (JIEM) 2 (2009) 3, pp. 464-498
The majority of classic SPC methodologies assume a steady-state (i.e., static) process behavior (i.e., the process mean and variance are constant) without the influence of the dynamic behavior (i.e., an intended or unintended shift in the process mean or variance). Traditional SPC has been...
Persistent link: https://www.econbiz.de/10011938922
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Cover Image
Univariate and multivariate control charts for monitoring dynamic-behavior processes: a case study
Haridy, Salah; Wu, Zhang - In: Journal of industrial engineering and management : JIEM 2 (2009) 3, pp. 464-498
The majority of classic SPC methodologies assume a steady-state (i.e., static) process behavior (i.e., the process mean and variance are constant) without the influence of the dynamic behavior (i.e., an intended or unintended shift in the process mean or variance). Traditional SPC has been...
Persistent link: https://www.econbiz.de/10011899045
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