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Quality Technology & Quantitative Management Volume 13, 2016 - Issue 1: Special issue - Statistical Process Control - Guest Editors - Professor Philippe Castagliola and Dr. Sotiris Bersimis
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Research Article

A continuous sampling plan based on EWMA Control Chart Rules

Mavroudis EleftheriouDepartment of Mathematics, Aristotle University of Thessaloniki, Thessaloniki, GreeceCorrespondence[email protected]
&
Nikolaos FarmakisDepartment of Mathematics, Aristotle University of Thessaloniki, Thessaloniki, Greece
Pages 16-28 | Received 01 Jan 2014, Accepted 01 Aug 2014, Published online: 04 Apr 2016

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Z. L. Chong, K. L. Tan, Michael B. C. Khoo, W. L. Teoh & P. Castagliola. (2022) Optimal designs of the exponentially weighted moving average (EWMA) median chart for known and estimated parameters based on median run length. Communications in Statistics - Simulation and Computation 51:7, pages 3660-3684.
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Tahir Nawaz & Dong Han. (2020) Monitoring the process location by using new ranked set sampling-based memory control charts. Quality Technology & Quantitative Management 17:3, pages 255-284.
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Anan Tang, Philippe Castagliola, Jinsheng Sun & Xuelong Hu. (2019) Optimal design of the adaptive EWMA chart for the mean based on median run length and expected median run length. Quality Technology & Quantitative Management 16:4, pages 439-458.
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Chien-Wei Wu & Zih-Huei Wang. (2017) Developing a variables multiple dependent state sampling plan with simultaneous consideration of process yield and quality loss. International Journal of Production Research 55:8, pages 2351-2364.
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