Modified Synthetic Control Chart for One-Step Markov-Dependent Processes

Adnaik Sachin Bajirao and Gadre Mukund Parasharam

Communications in Statistics - Theory and Methods, 2015, vol. 44, issue 5, 942-952

Abstract: Quality measurement by the attributes method often does not result in independent random variables for the count of non conformities or non conforming units. A model based on Markovian dependence can be considered as a practical option in such situations. For a Markovian production process, Adnaik et al. (in press) have proposed the “Single Attribute Control Charts” (SACCs) using two criteria. The first one is by controlling the error probabilities being (α*, β*) and the second, by using the ATS criterion. In this article, we propose a “Modified Synthetic Single Attribute Control Chart” for one-step Markovian Dependent process using ATS criterion (MSyn-SACC-MD).Zero state as well as the steady-state performance of the chart is studied. It is numerically illustrated that the proposed chart is more efficient than SACC-MD-A as proposed by Adnaik et al. (in press).

Date: 2015
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DOI: 10.1080/03610926.2012.749286

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