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

Tommaso Pastore (), Giulio Mariniello and Domenico Asprone
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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

Mathematics, 2024, vol. 12, issue 21, 1-14

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.

Keywords: scheduling optimization; bridge maintenance; sustainability (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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