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.
Highlights
Systems can be divided into three categories: simple systems, stochastic systems, and complex systems.[1]
The above authors have completed considerable research on the opportunistic maintenance model, there are still some shortcomings: (1) no clear description is provided about whether opportunistic maintenance occurs after the multi-component complex system malfunctioned; (2) in the maintenance of complex systems with high disassembly costs, the similarity between parts is accompanied by the learning-forgetting effect, which results in changes in maintenance time
Considering the influence of the learning-forgetting effect and the hybrid evolution factors during maintenance operation, we proposed an opportunistic maintenance model for a complex fading system based on a time threshold by introducing a learning-forgetting effect model into complex system maintenance planning
Summary
Systems can be divided into three categories: simple systems, stochastic systems, and complex systems.[1]. Complex systems are featured by a large number of elements with strong coupling between them, such as in spacecraft and computer numerical control (CNC) machine tools.[2,3] Traditional maintenance methods include breakdown maintenance and preventive maintenance. Breakdown maintenance is defined as maintenance after equipment failure. Opportunistic maintenance is a combination of breakdown maintenance and preventive maintenance: when a component is maintained during system shutdown, whether or not other parts meet the maintenance requirements is simultaneously judged. The components can be maintained together, minimizing the cost of disassembly and disassembly maintenance.[4] The opportunistic maintenance model has a wide range of applications. Advances in Mechanical Engineering kinds of opportunistic maintenance models have been introduced. A detailed discussion of opportunity maintenance is presented in detail in section ‘‘Literature review.’’
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