Optimal availability for determining choice and repair policy of system components
International Journal of Quality & Reliability Management
ISSN: 0265-671X
Article publication date: 11 February 2019
Issue publication date: 18 March 2019
Abstract
Purpose
The purpose of this paper is to establish the regression model by a simulation method that was obtained by using the system response at unit cost as the response value. The unit availability was maximized, while the unit cost was minimized.
Design/methodology/approach
In this study, the Monte Carlo simulation method was used to simulate an operational system, and the regression model was obtained by using response surface methodology with the experimental matrix and different levels of experimental combinations.
Findings
The optimal value of mean time between failure (MTBF) and mean time to repair (MTTR) of each component was then obtained by using the system response at unit cost as the response value.
Practical implications
Due to the upgrading of industrial technology and the maturity of electronic technology, product development technology has become highly sophisticated with complex designs. Reliability engineering has become a key procedure of high-tech industry.
Social implications
Based on the system availability of unit cost as the response value, it can maximize the availability to help decision makers to formulate the best selection strategy components and repair strategy.
Originality/value
Previous works regarding the parameter settings of reliability values never mention the simulation methodology. However, this study aims to achieve the above goals in finding the relationship of MTBF and MTTR simultaneously.
Keywords
Citation
Jeang, A., Ko, C.P., Chung, C.-P., Chen, Y.-J. and Lin, I. (2019), "Optimal availability for determining choice and repair policy of system components", International Journal of Quality & Reliability Management, Vol. 36 No. 3, pp. 347-357. https://doi.org/10.1108/IJQRM-12-2017-0255
Publisher
:Emerald Publishing Limited
Copyright © 2019, Emerald Publishing Limited