Design of Exponentially Weighted Moving Average Control Charts for Autocorrelated Processes With Model Uncertainty
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چکیده
منابع مشابه
Design of Exponentially Weighted Moving Average Control Charts for Autocorrelated Processes With Model Uncertainty
Residual-based control charts are popular methods for statistical process control of autocorrelated processes. To implement these methods, a time series model of the process is required. The model must be estimated from data, in practice, and model estimation errors can cause the actual in-control average run length to differ substantially from the desired value. This article develops a method ...
متن کاملImproved design of robust exponentially weighted moving average control charts for autocorrelated processes
Charts for Autocorrelated Processes Hyun Cheol Lee Samsung Electronics, Semiconductor Business Quality Assurance Dept. Banwol-Dong, Hwasung-City Gyeonggi-Do, Korea 445-701 Phone: 82-31-208-4717 Fax: 82-31-208-6699 Email: [email protected] Daniel W. Apley (Corresponding Author) Department of Industrial Engineering and Management Sciences Northwestern University Evanston, IL 60208-3119 Phone: 8...
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The objective of this research is to select the appropriate control charts for detecting a shift in the autocorrelated observations. The autocorrelated processes were characterized using AR (1) and IMA (1, 1) for stationary and non-stationary processes respectively. A process model was simulated to achieve the response, the average run length (ARL). The empirical analysis was conducted to quant...
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In the manufacture of metal fasteners in a progressive die operation, and other industrial situations, important quality dimensions cannot be measured on a continuous scale, and parts are classified into groups using a step gauge. This article proposes a version of exponentially weighted moving average (EWMA) control charts applicable to monitoring the grouped data for process shifts. The run l...
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ژورنال
عنوان ژورنال: Technometrics
سال: 2003
ISSN: 0040-1706,1537-2723
DOI: 10.1198/004017003000000014