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Communications in Statistics - Theory and Methods Volume 41, 2012 - Issue 12
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Original Articles

Monitoring Process Mean and Variance with a Single Generally Weighted Moving Average Chart

S. Y. Teh School of Management, Universiti Sains Malaysia, Penang, Malaysia
,
Michael B. C. Khoo School of Mathematical Sciences, Universiti Sains Malaysia, Penang, MalaysiaCorrespondence[email protected]
&
Zhang Wu School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore
Pages 2221-2241 | Received 01 Jun 2010, Accepted 20 Jan 2011, Published online: 09 May 2012

Citations (16)

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Read on this site (6)

Vasileios Alevizakos, Kashinath Chatterjee, Christos Koukouvinos & Angeliki Lappa. (2023) A generally weighted moving average t control chart for monitoring shifts in the process mean. Communications in Statistics - Simulation and Computation 52:6, pages 2425-2438.
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Kashinath Chatterjee, Christos Koukouvinos, Angeliki Lappa & Paraskevi Roupa. (2023) A joint monitoring of the process mean and variance with a generally weighted moving average maximum control chart. Communications in Statistics - Simulation and Computation 0:0, pages 1-21.
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Afshan Riaz, Muhammad Noor-ul-Amin & Eralp Dogu. (2022) Effect of measurement error on joint monitoring of process mean and coefficient of variation. Communications in Statistics - Theory and Methods 51:19, pages 6863-6882.
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Afshan Riaz & Muhammad Noor-ul-Amin. (2022) Improved simultaneous monitoring of mean and coefficient of variation under ranked set sampling schemes. Communications in Statistics - Simulation and Computation 51:8, pages 4410-4426.
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Hidayatul Khusna, Muhammad Mashuri, Suhartono, Dedy Dwi Prastyo, Muhammad Hisyam Lee & Muhammad Ahsan. (2019) Residual-based maximum MCUSUM control chart for joint monitoring the mean and variability of multivariate autocorrelated processes. Production & Manufacturing Research 7:1, pages 364-394.
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Aamir Saghir & Zhengyan Lin. (2015) Designing of Gini-chart for Exponential, t, Logistic and Laplace Distributions. Communications in Statistics - Simulation and Computation 44:9, pages 2387-2409.
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Articles from other publishers (10)

Kutele Mabude, Jean‐Claude Malela‐Majika, Philippe Castagliola & Sandile C. Shongwe. (2020) Generally weighted moving average monitoring schemes: Overview and perspectives. Quality and Reliability Engineering International 37:2, pages 409-432.
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Vasileios Alevizakos & Christos Koukouvinos. (2019) A generally weighted moving average control chart for zero‐inflated Poisson processes. Quality and Reliability Engineering International 36:2, pages 675-704.
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Muhammad Noor-ul-Amin, Farah Arif & Muhammad Hanif. (2019) Joint Monitoring of Mean and Variance Using Likelihood Ratio Test Statistic Under Pair Ranked Set Sampling Scheme. Iranian Journal of Science and Technology, Transactions A: Science 43:5, pages 2449-2460.
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Jean-Claude Malela-Majika. (2019) Modified side-sensitive synthetic double sampling monitoring scheme for simultaneously monitoring the process mean and variability. Computers & Industrial Engineering 130, pages 798-814.
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Shin-Li Lu. (2017) Novel design of composite generally weighted moving average and cumulative sum charts. Quality and Reliability Engineering International 33:8, pages 2397-2408.
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Reza Ghashghaei, Mahdi Bashiri, Amirhossein Amiri & Mohammad Reza Maleki. (2016) Effect of Measurement Error on Joint Monitoring of Process Mean and Variability under Ranked Set Sampling. Quality and Reliability Engineering International 32:8, pages 3035-3050.
Crossref
N. Chakraborty, S. Chakraborti, S.W. Human & N. Balakrishnan. (2016) A Generally Weighted Moving Average Signed‐rank Control Chart. Quality and Reliability Engineering International 32:8, pages 2835-2845.
Crossref
Muhammad Mohsin, Muhammad Aslam & Chi-Hyuck Jun. (2016) A new generally weighted moving average control chart based on Taguchi’s loss function to monitor process mean and dispersion. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 230:8, pages 1537-1547.
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Chung Ming Yang, Su Fen Yang & Jeng Sheng Lin. (2014) A New EWMA Loss Control Chart with Adaptive Control Scheme. Applied Mechanics and Materials 631-632, pages 12-17.
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Su-Fen Yang. (2013) Using a new VSI EWMA average loss control chart to monitor changes in the difference between the process mean and target and/or the process variability. Applied Mathematical Modelling 37:16-17, pages 7973-7982.
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