Abstract
The aim of this paper is to investigate the mathematical modelling of maintenance effects in optimal maintenance model. Motivated by the Arithmetic Reduction of Intensity model with memory (ARI), our goal is to build a model, which can be used to unveil the quality of the maintenance performed according to current state or condition of equipments rather than its virtual age. By analyzing influence of maintenance actions on decision making, a state enhancement or reduction model (SERM) is presented in which maintenance effects are interprets as a random variable of real state and maintenance times. SERM models with and without human factors are constructed respectively. Then, the goodness character such as convergence and stability of it is proved by deducing formulation. And fit methods are given to estimate the parameters and human factors of model through historical maintenance information, which is easy to get from actual maintenance practice. Finally maintenance decision model simulation is used to analyzing the efficiency of it.
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© 2013 Springer-Verlag London
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Ge, X., Hu, J., Zhang, B., Yang, W. (2013). A State Enhancement or Reduction Model of Maintenance Effect and Application to Maintenance Decision. In: Xu, J., Yasinzai, M., Lev, B. (eds) Proceedings of the Sixth International Conference on Management Science and Engineering Management. Lecture Notes in Electrical Engineering, vol 185. Springer, London. https://doi.org/10.1007/978-1-4471-4600-1_9
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DOI: https://doi.org/10.1007/978-1-4471-4600-1_9
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