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A Simheuristic Approach to Scheduling Sustainable and Reliable Maintenance for Bridge Infrastructure

Author

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  • Tommaso Pastore

    (Department of Structures for Engineering and Architecture, University of Naples “Federico II”, 80125 Naples, Italy)

  • Giulio Mariniello

    (Department of Structures for Engineering and Architecture, University of Naples “Federico II”, 80125 Naples, Italy)

  • Domenico Asprone

    (Department of Structures for Engineering and Architecture, University of Naples “Federico II”, 80125 Naples, Italy)

Abstract

Designing maintenance strategies for a vast portfolio of aging infrastructures requires decision-makers to ensure adequate safety levels while addressing the requirements on service interruptions, costs, and workforce availability. This study addresses the problem of scheduling maintenance interventions for a portfolio of bridges, aiming to minimize C O 2 emissions while meeting minimum reliability requirements and adhering to workforce and budget constraints. To achieve this, we present a Simheuristic algorithm that combines a metaheuristic core based on the Adaptive Large Neighborhood Search metaheuristic with a Monte Carlo simulation module. This integration allows for the evaluation of optimized scheduling solutions, accounting for the inherent randomness in the structural deterioration process. The proposed approach is tested in a comparative analysis against traditional time-based and condition-based scheduling methods. Results from diverse bridge portfolios demonstrate that the proposed algorithm offers improved performance in terms of both total costs and C O 2 emissions.

Suggested Citation

  • Tommaso Pastore & Giulio Mariniello & Domenico Asprone, 2024. "A Simheuristic Approach to Scheduling Sustainable and Reliable Maintenance for Bridge Infrastructure," Mathematics, MDPI, vol. 12(21), pages 1-14, October.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:21:p:3420-:d:1511824
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    References listed on IDEAS

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    1. Stefan Ropke & David Pisinger, 2006. "An Adaptive Large Neighborhood Search Heuristic for the Pickup and Delivery Problem with Time Windows," Transportation Science, INFORMS, vol. 40(4), pages 455-472, November.
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