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Modeling and Metrics

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Recent Advances in Maintenance and Infrastructure Management

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Abstract

Selection of appropriate maintenance actions and strategies for preventive maintenance depends on our ability to accurately predict component deterioration, and its impact on overall system performance. The ability to predict component and system behavior under uncertainty depends on the selection of appropriate modeling methodologies that allow decision-makers to represent the complex system interactions at required fidelity and capture the impact of component deterioration or failure on overall system performance. Another important factor affecting the selection of an appropriate modeling framework is the performance metric or objective function used to monitor the performance of maintenance plans. In most cases, selection of appropriate modeling tools and metrics is key to developing successful predictive maintenance systems.

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Author information

Authors and Affiliations

  1. Department of Industrial and Systems Engineering, Zachry Engineering Center, Texas A&M University, 77843-3131, College Station, TX, USA

    Abhijit V. Deshmukh

  2. Department of Nuclear Engineering, Ben Gurion University of the Negev, Building 63, P.O.B. 653, 84105, Beer-Sheva, Israel

    Arie Dubi

  3. Université de Technologie de Troyes, 12 rue Marie Curie BP 2060, 10010, Troyes, France

    Valèrie Zille, Christophe Bèrenguer & Antoine Grall

  4. R&D Division, EDF, 6 quai Watier, 78401, Chatou, France

    Antoine Despujols & Jèrome Lonchampt

  5. Department of Mechanical and Management Engineering, University of L’Aquila, 67040, Monteluco L’Aquila, Italy

    Antonio C. Caputo & Pacifico M. Pelagagge

  6. Dipartimento di Energetica “Sergio Stecco”, University of Florence, Via Cesare Lombroso 6/17, 50100, Firenze, Italy

    Orlando Borgia, Filippo De Carlo, Marco Peccianti & Mario Tucci

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  1. Abhijit V. Deshmukh
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  2. Arie Dubi
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Editor information

Editors and Affiliations

  1. Department of Management, Economics and Industrial Engineering, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133, Milano, Italy

    Roberto D. Cigolini

  2. Department of Industrial and Systems Engineering, Zachry Engineering Center, Texas A&M University, 77843-3131, College Station, TX, USA

    Abhijit V. Deshmukh  & Sara A. McComb  & 

  3. Department of Mechanical and Aeronautical Engineering, Sapienza Università di Roma, Via Eudossiana, 18, 00184 , Roma, Italy

    Lorenzo Fedele

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Deshmukh, A. et al. (2009). Modeling and Metrics. In: Cigolini, R., Deshmukh, A., Fedele, L., McComb, S. (eds) Recent Advances in Maintenance and Infrastructure Management. Springer, London. https://doi.org/10.1007/978-1-84882-489-8_3

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  • DOI: https://doi.org/10.1007/978-1-84882-489-8_3

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84882-488-1

  • Online ISBN: 978-1-84882-489-8

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