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Performance assessment and improvement of control charts for statistical batch process monitoring
Authors:Henk-Jan Ramaker  Eric N M van Sprang  Johan A Westerhuis  Stephen P Gurden  Age K Smilde  Frank H van der Meulen
Institution:TIPb –Applied Industrial Process Control, University of Amsterdam, Nieuwe Achtergracht 166, 1018 WV Amsterdam, The Netherlands; Biosystems Data Analysis, Swammerdam Institute for Life Sciences, University of Amsterdam, Nieuwe Achtergracht 166, 1018 WV Amsterdam, The Netherlands; Institute for Business Industrial Statistics, University of Amsterdam (IBIS UvA), Plantage Muidergracht 24, 1018 TV Amsterdam, The Netherlands
Abstract:This paper describes the concepts of statistical batch process monitoring and the associated problems. It starts with an introduction to process monitoring in general which is then extended to batch process monitoring. The performance of control charts for batch process monitoring is discussed by means of two performance indices: the overall type I error and the action signal time. Problems associated with the existing approach are discussed and highlighted. Improvements are suggested and checked with the performance indices. To evaluate the effect of the proposed improvements as well as to assess the performance of the existing approach, an industrial batch production process is used.
Keywords:statistical batch process monitoring  control charts  MSPC  Bonferroni  overall type I error  action signal time
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