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Performance of adaptive np-chart with estimated parameter

S. Mohammad Hashemian (Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran)
Rassoul Noorossana (Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran)
Ali Keyvandarian (Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran)
Maryam Shekary A. (Department of Industrial Engineering, Tarbiat Modares University, Tehran, Iran)

International Journal of Quality & Reliability Management

ISSN: 0265-671X

Article publication date: 6 June 2016

280

Abstract

Purpose

The purpose of this paper is to compare the performances of np-VP control chart with estimated parameter to the np-VP control chart with known parameter using average time-to-signal (ATS), standard deviation of the time-to-signal (SDTS), and average number of observations to signal (ANOS) as performance measures.

Design/methodology/approach

The approach used in this study is probabilistic in which the expected values of performance measures are calculated using probabilities of different estimators used to estimate process parameter.

Findings

Numerical results indicate different performances for the np-VP control chart in known and estimated parameter cases. It is obvious that when process parameter is not known and is estimated using Phase I data, the chart does not perform as user expects. To tackle this issue, optimal Phase I estimation scenarios are recommended to obtain the best performance from the chart in the parameter estimation case in terms of performance measures.

Practical implications

This research adds to the body of knowledge in quality control of process monitoring systems. This paper may be of particular interest to practitioners of quality systems in factories where products are monitored to reduce the number of defectives and np chart parameter needs to be estimated.

Originality/value

The originality of this paper lies within the context in which an adaptive np control chart is studied and the process parameter unlike previous studies is assumed unknown. Although other types of control charts have been studied when process parameter is unknown but this is the first time that adaptive np chart performance with estimated process parameter is studied.

Keywords

Citation

Hashemian, S.M., Noorossana, R., Keyvandarian, A. and Shekary A., M. (2016), "Performance of adaptive np-chart with estimated parameter", International Journal of Quality & Reliability Management, Vol. 33 No. 6, pp. 769-791. https://doi.org/10.1108/IJQRM-05-2014-0059

Publisher

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Emerald Group Publishing Limited

Copyright © 2016, Emerald Group Publishing Limited

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