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Intelligent Systems in Maintenance Planning and Management

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Book cover Intelligent Techniques in Engineering Management

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 87))

Abstract

Maintenance can be divided into reactive and preventive. In reactive maintenance damage is corrected after it has occurred. On the other hand, predictive maintenance anticipates the damage in the future. Predictive maintenance can be periodic with fixed time intervals or predictive with forecasted failure times. Maintenance planning is intelligent when maintenance needs are predicted and optimised. Intelligent maintenance systems require data collection, data transfer, data storage, data processing and Decision Support Systems to be in place. Machine learning algorithms in forecasting and optimisation can take increasing quantity of collected data into consideration in intelligent maintenance planning. Two types of forecasting models—time-series and causal methods can be used for intelligent maintenance planning. Optimisation algorithms can be divided into local and population search methods. Hybrid methods combining more than one algorithm have been used efficiently for maintenance planning. Maintenance planning is important in the transport sector and various models and methods have been applied both in road and vehicle maintenance. In practice, it is important to have accurate deterioration and cost models in place. In research, both data-driven and mathematical models have been applied, but data-driven methods are becoming more practical as computation is increasingly more feasible.

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Authors and Affiliations

  1. Konsta Mikael Sirvio, SirWay Ltd., Helsinki, Finland

    Konsta Mikael Sirvio

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  1. Konsta Mikael Sirvio
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Correspondence to Konsta Mikael Sirvio .

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Editors and Affiliations

  1. Department of Industrial Engineering Management Faculty, Istanbul Technical University, Istanbul, Turkey

    Cengiz Kahraman

  2. Department of Industrial Engineering, Istanbul Technical University Management Faculty, Istanbul, Turkey

    Sezi Çevik Onar

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Sirvio, K.M. (2015). Intelligent Systems in Maintenance Planning and Management. In: Kahraman, C., Çevik Onar, S. (eds) Intelligent Techniques in Engineering Management. Intelligent Systems Reference Library, vol 87. Springer, Cham. https://doi.org/10.1007/978-3-319-17906-3_10

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  • DOI: https://doi.org/10.1007/978-3-319-17906-3_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-17905-6

  • Online ISBN: 978-3-319-17906-3

  • eBook Packages: EngineeringEngineering (R0)

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