A preventive maintenance of circular consecutive-k-out-of-n: F systems

Abstract

Purpose The purpose of this paper is to develop a preventive maintenance policy with continuous monitoring for a circular consecutive-k-out-of-n: F systems. A preventive maintenance policy is developed based on the system critical condition which is related to the number of working components in the minimal cut sets of the system. If there is at least one minimal cut set which consists of only one working component, the system is maintained preventively (PM) after a certain time interval and the failed components are replaced with the new ones to prevent the system failures. If the system fails prior to the preventive maintenance, the system is correctively maintained (CM) immediately by replacing the failed components. Design/methodology/approach The mathematical function of the expected cost rate for the proposed maintenance policy is derived. The costs of PM, CM, and replacement per component are considered. The optimal maintenance parameter, which is the PM interval, is obtained by enumeration, and the numerical studies are shown with various system and cost parameters. The performance of the proposed policy is evaluated by comparing its expected cost rate to those of the no-PM and age-PM policies. The percentage of cost increase from the no-PM and age-PM policies to the proposed PM policy is calculated and this value can represents how important the continuous monitoring in this policy. Findings The proposed policy outperforms other policies. When the cost of CM is high and the cost of PM is low, the proposed PM policy is more suitable. Research limitations/implications The system consists of identical components and the component failure times follow an exponential distribution. Continuous monitoring is considered, which means that the component states can be known at any time. Three cost parameters, cost of PM, CM, and replacement per component, are considered. Originality/value This paper shows a maintenance problem for circular consecutive-k-out-of-n: F systems. Many studies on this system type focused on the reliability estimation or system design problem. Previous study with this policy (Endharta and Yun, 2015) has been developed for linear systems, although the study used a simulation approach to estimate the expected cost rate. Also, Endharta et al. (2016) considered a similar method for the different types of system, which is linear consecutive-k-out-of-n: F system.

m-Consecutive-k-out-of-n: F Structures with a Single Change Point

“…The aforementioned argument holds true, since for m = 1, the proposed structure reduces to the one established in [25]. Finally, an analogous reliability study of structures with two common failure criteria and a single change point and maintenance policy (see, e.g., [31,32]) could be an interesting topic for future research.…”

A comparative analysis of maintenance strategies and data application in asset performance management for both developed and developing countries

“…These processes are subsumed in maintenance data management, discussed in Section 2.2. However, to meticulously address decision support aspects, including equipment life cycle (Ghosh et al , 2018), maintenance cost management (Endharta and Yun, 2017) and asset performance, and further articulate the overarching strategy of the maintenance function in the organization, deriving and application of maintenance objectives is essential (Wakiru et al , 2019a). Hence, it is of utmost importance that such goals are aligned and linked to the organizational maintenance strategies at the operational, tactical and strategic levels.…”

An integrated fuzzy-AHP and TOPSIS approach for maintenance policy selection

“…Maintenance policies are ordered into two classes of preventive maintenance (PM) and corrective maintenance (CM) (Azadeh and Abdolhossein Zadeh, 2016;Endharta and Yun, 2017;Oke and Charles-Owaba, 2006;Shankar and Sahani, 2003). PM comprises actions intended to progress the total availability and reliability of a system (Ebrahimipour et al, 2015).…”