Abstract This paper introduces a comprehensive framework for the development of optimal multi-year maintenance plans for a large number of bridges. A maintenance plan is said to be optimal when, within the given budget, a maximum number of bridges can be maintained in the best possible year, achieving maximum performance with minimum socio-economic impact. The framework incorporates heuristic rules, multi-attribute utility theory, discrete Markov chain process, and genetic algorithms to find an optimal balance between limited budgets and performance requirements. The applicability of the proposed framework is illustrated on an extensive case study of highway bridges. The framework enables asset owners to execute various planning scenarios under different budget and performance requirements, where each resulting plan is optimal. The focus of this study has mainly been on highway bridges, however the framework is general and can be applied to any other infrastructure asset type.


    Access

    Download


    Export, share and cite



    Title :

    Multi-year maintenance planning framework using multi-attribute utility theory and genetic algorithms


    Contributors:


    Publication date :

    2020




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Multi-year maintenance planning framework using multi-attribute utility theory and genetic algorithms

    Allah Bukhsh, Zaharah / Stipanovic, Irina / Doree, Andre G. | Springer Verlag | 2020

    Free access

    Identification of waterways maintenance significant units using secondary data and Multi-Attribute Utility Theory

    Marsili, Francesca / Bödefeld, Jörg | HENRY – Federal Waterways Engineering and Research Institute (BAW) | 2021

    Free access

    Model-Based Optimization of a Hydraulic Backhoe using Multi-Attribute Utility Theory

    Kerzhner, Aleksandr A. / Paredis, Christiaan J. J. / Conigliaro, Roxanne A. | SAE Technical Papers | 2009


    Model-based optimization of a hydraulic backhoe using multi-attribute utility theory

    Conigliaro,R.A. / Kerzhner,A.A. / Paredis,C.J. et al. | Automotive engineering | 2009