Optimal maintenance and repair policies in infrastructure management under uncertain facility deterioration rates

An adaptive control approach

Pablo L. Durango, Samer Madanat

    Research output: Contribution to journalArticle

    Abstract

    In this paper we present two adaptive control formulations that explicity include uncertainty in characterizing a facility's deterioration rate in the process of developing maintenance and repair policies. The formulations use condition information that stems from the operation of a facility to improve the characterization over a finite planning horizon. We discuss issues related to the implementation and computational complexity of the formulations. Through a computational study, we show that the economic benefits can be achieved by implementing the adaptive control formulations. These benefits are most significant in situations where the initial expected deterioration rate of the facility is not a good representation of its actual deterioration rate.

    Original languageEnglish (US)
    Pages (from-to)763-778
    Number of pages16
    JournalTransportation Research Part A: Policy and Practice
    Volume36
    Issue number9
    DOIs
    StatePublished - Nov 1 2002

    Fingerprint

    Deterioration
    Repair
    infrastructure
    management
    Computational complexity
    uncertainty
    Planning
    Economics
    planning
    economics
    Adaptive control
    Uncertainty
    Economic benefits

    Keywords

    • Adaptive control
    • Infrastructure management
    • Model and parameter uncertainty

    ASJC Scopus subject areas

    • Civil and Structural Engineering
    • Transportation
    • Management Science and Operations Research

    Cite this

    Optimal maintenance and repair policies in infrastructure management under uncertain facility deterioration rates : An adaptive control approach. / Durango, Pablo L.; Madanat, Samer.

    In: Transportation Research Part A: Policy and Practice, Vol. 36, No. 9, 01.11.2002, p. 763-778.

    Research output: Contribution to journalArticle

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