Monotonic Change Point in MEWMA Control Chart

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Beik mohammadloo, Mahkameh | 2014

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 45407 (01)
University: Sharif University of Technology
Department: Industrial Engineering
Advisor(s): Akhavan Niaki, Mohammad Taghi
Abstract:
Control charts are the most important tools of statistical quality control. The problem that exists is that control charts do not show the real time the shift in a process started. The real time a change occurs in a process is called the change point. In this research, the monotonic change point in a multivariate normal process is estimated using the maximum likelihood estimation approach, where the process is monitored by a multivariate exponentially weighted moving average scheme. Mote Carlo simulation studies are performed to evaluate the performance of the proposed approach
Keywords:
Multivariate Quality Control ; Change Point ; Exponentially Weighted Moveing Average (EWMA) ; Monotonic Change

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