An improved opportunity maintenance model of complex system

Abstract

To solve the problems of multiple parts, high cost of disassembly, and imperfect maintenance in multi-component complex systems, an opportunistic maintenance model of multi-component complex systems based on a time threshold is proposed in this article. The influence of the disassembly sequence and hybrid evolution factors on maintenance and learning-forgetting effects are considered in the proposed model. In this article, the learning-forgetting effect of the field strip in the components on the same level or components on different levels is considered in addition to the shortest disassembly path of multi-component complex systems. Imperfect and preventive maintenance is applied in a complex system, and random failure involves minor repairs. Multiple objectives that minimize maintenance costs and maximize operation time rate are proposed. Monte Carlo simulation is used to solve the model and obtain the time threshold of optimal opportunistic maintenance. The results show the feasibility of the opportunistic maintenance model.

Opportunistic perfect preventive maintenance policy in presence of masked data

“…The opportunistic maintenance has been first studied by Radner and Jorgenson, 11 McCall, 12 and Jorgenson and McCall. 13 Since, budgets and costs were been more important over time, the advantage of OM overcame its disadvantages (no planning and no work preparation) and it has been developed in considerable academic and industrial works Such as Berg, 14,15 Vu et al, 16 Yuan et al, 17 Zhao et al, 18 Yang et al, 19 Cavalcante and Lopes, 9 and Mishra et al 20…”

“…10 The opportunistic maintenance has been first studied by Radner and Jorgenson,11 McCall, 12 and Jorgenson and McCall. 13 Since, budgets and costs were been more important over time, the advantage of OM overcame its disadvantages (no planning and no work preparation) and it has been developed in considerable academic and industrial works Such as Berg, 14,15 Vu et al, 16 Yuan et al, 17 Zhao et al, 18 Yang et al, 19 Cavalcante and Lopes, 9 and Mishra et al 20 In the reliability analysis of series systems, time to failure, and the exact cause of failure are collected in order to do different statistical analysis such as estimation of the reliability function and maintenance modeling. But, sometimes the exact cause of failure is unidentifiable (because of improper diagnostic equipment storage, or time and cost restrictions) and we only know that the exact cause of failure belongs to a minimum random subset (MRS) of all possible causes.…”

Joint Decision-Making Model for Production Planning and Maintenance of Fully Mechanized Mining Equipment

“…Yang et al [22] based on the fault chain theory's fault transmission process, used the dynamic group method in the multi-component maintenance and established the group maintenance model of the complex system of the EMU. Ding [23] considered the influence of method disassembly sequence and mixed evolutionary factors on maintenance and learning forgetting effects during the maintenance process, and proposed a multi-component complex system opportunistic maintenance model. Cao et al [24] established a decision-making optimization model based on coal mine safety costs and maintenance costs and used opportunistic maintenance methods to maintain multi-machine series fully mechanized mining equipment.…”

Reliability-Based Opportunistic Maintenance Modeling for Multi-Component Systems with Economic Dependence under Base Warranty

“…e OM strategy has drawn a lot of attention from scholars, and the OM model has a wide range of applications in engineering systems. Many pieces of literature have studied OM in depth and many kinds of OM models have been introduced [33,34]. Related theoretical methodologies and practical applications in OM were reviewed and summarized by Ab-Samat [35].…”