Estimating the limits for statistical process control charts: A direct method improving upon the bootstrap |
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| Authors: | Sunantha Teyarachakul Suresh Chand Jen Tang |
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| Institution: | 1. College of Business and Industry, Minnesota State University Moorhead, Moorhead, MN 56563, USA;2. Krannert School of Management, Purdue University, West Lafayette, IN 47907, USA |
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| Abstract: | This paper considers the problem of finding limits for a statistical process control (SPC) chart for the process mean, when the process distribution is unknown. The bootstrap method estimates these limits relying on Monte Carlo methods, which are subject to simulation errors. Therefore this paper develops a computationally efficient enumeration method for exact calculations of the control limits. |
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| Keywords: | Control limits Statistical process control Bootstrap Simulation |
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