Abstract
Due to the complexity of large production systems, maintenance events are diverse, simultaneous and dynamic. Appropriate maintenance management of complex large production systems can guarantee high availability and save maintenance costs. However, current maintenance decision-making methods mainly focus on the maintenance events of single-components and series connection multi-components; little research pays attention to the combination maintenance of different maintenance events. Therefore, this paper proposes a multi-event combination maintenance model based on event correlation. First, the maintenance downtime and cost of three types of maintenance events under different maintenance beginning times and degrees are analysed. Then, shared maintenance downtime and cost models are established by maintenance event correlations. In addition, a multi-event combination maintenance model is constructed to achieve the goal of the highest availability and the lowest cost rate in both the decision-making cycle and the remaining life. Moreover, a particle swarm optimization algorithm based on interval segmentation for model solving is designed. Finally, a numerical example is presented to illustrate the model.
Highlights
Maintenance cost of modern production systems occupies a large proportion of the entire cost cycle [1,2,3]
The multi-component maintenance decision model has some shortcomings in the management of complex large production system maintenance events
A multi-event combination maintenance model based on event correlation in this paper proposes to dissolve the management problem of maintenance events in complex large systems
Summary
Maintenance cost of modern production systems occupies a large proportion of the entire cost cycle [1,2,3]. The research of maintenance decision modelling is mainly divided into two parts, single-component and multi-component methods. Single-component maintenance decision models are relatively mature, so it is very effective for the single-component maintenance management problem. When a multi-component model is working in a complex large production system, it is inadequate. The multi-component maintenance decision model has some shortcomings in the management of complex large production system maintenance events. The actual equipment is a mixed combination of complex production systems including many maintenance events. Combined with the current system health monitoring technology [27,28], real-time decision-making is realized, which can greatly reduce maintenance cost and increase the availability of complex large systems [29,30,31,32].
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