Constrained optimal design of X ̅ control chart with multiple assignable causes under Burr XII failure mechanism
International Journal of Quality & Reliability Management
ISSN: 0265-671X
Article publication date: 1 October 2018
Abstract
Purpose
The purpose of this paper is to develop a cost model by the variable sampling interval and optimization of the average cost per unit of time. The paper considers an economic–statistical design of the X̅ control charts under the Burr shock model and multiple assignable causes were considered and compared with three types of prior distribution for the mean shift parameter.
Design/methodology/approach
The design of the modified X̅ chart is based on the two new concepts of adjusted average time to signal and average number of false alarms for X̅ control chart under Burr XII shock model with multiple assignable causes.
Findings
The cost model was examined through a numerical example, with the same cost and time parameters, so the optimal of design parameters were obtained under uniform and non-uniform sampling schemes. Furthermore, a sensitivity analysis was conducted in a way that the variability of loss cost and design parameters was evaluated supporting the changes of cost, time and Burr XII distribution parameters.
Research limitations/implications
The economic–statistical model scheme of X̅ chart was developed for the Burr XII distributed with multiple assignable causes. The correlated data are among the assumptions to be examined. Moreover, the optimal schemes for the economic-statistic chart can be expanded for correlated observation and continuous process.
Practical implications
The economic–statistical design of control charts depends on the process shock model distribution and due to difficulties from both theoretical and practical aspects; one of the proper alternatives may be the Burr XII distribution which is quite flexible. Yet, in Burr distribution context, only one assignable cause model was considered where more realistic approach may be to consider multiple assignable causes.
Originality/value
This study presents an advanced theoretical model for cost model that improved the shock model that presented in the literature. The study obviously indicates important evidence to justify the implementation of cost models in a real-life industry.
Keywords
Acknowledgements
The authors would like to thank and express the authors’ gratitude to Vice-President for Research of Allameh Tabataba’i University, Tehran, Iran that financially supported this research project of Quality Research Team. The authors would also like to acknowledge and extend heartfelt gratitude to the anonymous reviewers, the Editor and Editor in Chief, all of whom helped the authors to improve this paper.
Citation
Saadatmeli, A., Bameni Moghadam, M., Seif, A. and Faraz, A. (2018), "Constrained optimal design of
Publisher
:Emerald Publishing Limited
Copyright © 2018, Emerald Publishing Limited