Abstract
In this study two design structures of (Formula presented.) control chart are proposed for known and unknown process parameters, under the variety of runs rules and process distributions. The proposed structures are developed by taking into account certain margin of enhancements and limitations in existing studies as the subjects of current article. Outcomes of the study are obtained through two most commonly used performance measures, generally known as false alarm rate and power curve. Based on these measures, conclusion of the study shows that proposed structures perform outstandingly as compared to various existing counterparts. In continuation to, design structure for unknown parameters has capability to overcome the issue of existing runs rules, which generally occur when parameters are unknown.
Original language | English |
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Pages (from-to) | 675-711 |
Number of pages | 37 |
Journal | Journal of Statistical Computation and Simulation |
Volume | 88 |
Issue number | 4 |
DOIs | |
State | Published - 4 Mar 2018 |
Bibliographical note
Publisher Copyright:© 2017 Informa UK Limited, trading as Taylor & Francis Group.
Keywords
- Control chart
- estimation effect
- false alarm rate
- parameter estimation
- power
- power curve
- runs rules
ASJC Scopus subject areas
- Statistics and Probability
- Modeling and Simulation
- Statistics, Probability and Uncertainty
- Applied Mathematics