Abstract:
Predictive maintenance modeling is a tool that can provide many benefits to the maintenance management area. This chapter suggests a multicriteria approach for modeling condition based maintenance decisions. Whereas the Predictive maintenance uses condition information of assets, the preventive maintenance is time-based only. This chapter discusses decision making in condition-based maintenance (CBM) and presents some useful approaches for building multiple objective models in this context. Initially, a summary is given of the fundamentals of CBM and several concepts of monitoring and inspection activities. Basic concepts of delay time are presented and discussed within an MCDM/A approach. Then, a structure of a multicriteria model to determine inspection intervals of condition monitoring based on Multi-attribute utility theory (MAUT) is introduced. The aspects of preference modeling, scale constant elicitation, utility theory and a DM’s behavior to risk (prone, neutral, averse) are included in the decision model. An illustrative example of an MCDM/A model is given in the context of an electric power distribution system. Thus, the multicriteria model presented, which is based on MAUT and which has an axiomatic structure, aims to answer the needs identified and enables the tradeoff among the costs, downtime and frequency of breakdowns to be dealt with.
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de Almeida, A.T., Cavalcante, C.A.V., Alencar, M.H., Ferreira, R.J.P., de Almeida-Filho, A.T., Garcez, T.V. (2015). Decision Making in Condition-Based Maintenance. In: Multicriteria and Multiobjective Models for Risk, Reliability and Maintenance Decision Analysis. International Series in Operations Research & Management Science, vol 231. Springer, Cham. https://doi.org/10.1007/978-3-319-17969-8_6
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DOI: https://doi.org/10.1007/978-3-319-17969-8_6
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