Multivariate statistical process control methods for batch production: a review focused on applications
نویسندگان
چکیده
منابع مشابه
A Review and Evaluation of Statistical Process Control Methods in Monitoring Process Mean and Variance Simultaneously
In this paper, first the available single charting methods, which have been proposed to detect simultaneous shifts in a single process mean and variance, are reviewed. Then, by designing proper simulation studies these methods are evaluated in terms of in-control and out-ofcontrol average run length criteria (ARL). The results of these simulation experiments show that the EWMA and EWMS methods ...
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in this paper, first the available single charting methods, which have been proposed to detect simultaneous shifts in a single process mean and variance, are reviewed. then, by designing proper simulation studies these methods are evaluated in terms of in-control and out-ofcontrol average run length criteria (arl). the results of these simulation experiments show that the ewma and ewms methods ...
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In this work, a combination between Multivariate Statistical Process Control (MSPC) and an automatic classification algorithm is developed to application in Waste Water Treatment Plant. Multiway Principal Component Analysis is used as MSPC method. The goal is to create a model that describes the batch direction and helps to fix the limits used to determine abnormal situations. Then, an automati...
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ژورنال
عنوان ژورنال: Production & Manufacturing Research
سال: 2021
ISSN: 2169-3277
DOI: 10.1080/21693277.2020.1871441