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- W2115652905 abstract "Present paper aims to plan and estimate the optimal parameters of an adaptive control chart model for monitoring the mean of a process using sample size and variable interval. Here, the X_BARRA-VSSI chart has been chosen because of its two special features- firstly being an adaptive scheme with great potential for practical application, and secondly the chart only requires knowledge of the sample size and the time between sample selections after established the optimal parameters for the chart. To estimate the optimal parameters of chosen control chart model, the Markov chains technique has been applied. Two functions written in R language are presented in order to assist the user in planning a statistical project based on the X_BARRA-VSSI adaptive scheme. Evaluating the effectiveness of the control chart of by means of Markov chains has been examined and the optimal parameters of the adaptive control chart model have been explored. In addition to this, a numerical example for application of the control chart model has also been illustrated and finally some conclusive observations with significant suggestions for its future scope are carried out." @default.
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- W2115652905 date "2015-03-11" @default.
- W2115652905 modified "2023-09-23" @default.
- W2115652905 title "Design and Estimate of the Optimal Parameters of Adaptive Control Chart Model Using Markov Chains Technique" @default.
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- W2115652905 doi "https://doi.org/10.11648/j.ajtas.s.2015040201.13" @default.
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