An integer linear programming approach for pavement maintenance and rehabilitation optimization

In this paper, the optimization of the maintenance management problem regarding airport pavements is addressed by developing a series of fast computational procedures whose rationales pursue both practical and economical objectives. Particularly, the study involves the design of five new heuristic algorithms replicating different management strategies that can be undertaken by the airport managers in a certain time horizon for reducing the pavement maintenance costs while considering the impact on the service level of the airport. Each algorithm works on the basis of a preliminary computational framework that has a twofold scope: (i) selecting the pavement portions to be maintained during the provided time horizon. (ii) using a K-means method based on three well-known performance indicators, which, namely, are Residual Life (RL), International Roughness Index (IRI) and Pavement Condition Index (PCI), to group the selected portions into homogenous clusters named work-zones. To evaluate the effectiveness and the efficiency of the proposed optimization algorithms in coping with the maintenance programming problem under investigation, an extended design of experiments based on international airport regulations has been arranged. The obtained numerical results revealed that no single strategy can be selected as the most performing in terms of cost and quality conditions of the pavements. To make robust the numerical results, a sensitivity analysis is conducted to evaluate the influence of the total cost of maintenance on runway length and number of sections. However, the results obtained in this study provide a series of managerial implications, further expanding the research contribution.

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“…Similar to other studies [40,41], the adopted time unit is equal to 1 year and only one intervention can be applied in a given year.…”

Section: Decoding Proceduresmentioning

confidence: 99%

Exploring New Computational Strategies for Managing Maintenance Activities of Airport Pavement Systems

Ragusa

Costa

Graziano

2022

Int. J. Pavement Res. Technol.

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“…Pavement conditions can be evaluated through different overall condition indices that indicate pavement deterioration over time, such as Pavement Quality Index (PQI) (Yu et al 2017), Pavement Serviceability Index (PSI) (Islam & Buttlar 2012), International Roughness Index (IRI) (Liu et al 2015) and Pavement Condition Index (PCI) (Gomes Correia et al 2021). Therefore, different condition indices can be used in the proposed optimisation model.…”

Section: Technical Parametersmentioning

confidence: 99%

“…It has promising capabilities that can address the challenges noted above. Several optimisation models have been applied to formulate maintenance schemes (Fwa & Farhan 2012, Gao & Zhang 2013, Gomes Correia et al 2021, Liu et al 2015, Santos et al 2020, Torres-Machi et al 2017. These methods search for optimal maintenance schemes applied over the analysis period despite the differences in the system boundary and the mathematical approach employed to obtain the optimal solution.…”

Section: Introductionmentioning

confidence: 99%

“…These methods search for optimal maintenance schemes applied over the analysis period despite the differences in the system boundary and the mathematical approach employed to obtain the optimal solution. However, current optimisation models mainly focus on optimising the budget allocation to maximise the economic benefits for highway owners, and therefore, integrated consideration of environmental, economic and social aspects is lacking (Fwa & Farhan 2012, Gao & Zhang 2013, Gomes Correia et al 2021, Liu et al 2015). In addition, some studies have considered sustainability issues; however, the system boundaries in these studies fail to include some critical phases of maintenance activities, e.g., the transportation of materials and products and the disposal of milled pavements (Torres-Machi et al 2017), which could also be a critical source of carbon emissions and energy consumption.…”

Section: Introductionmentioning

confidence: 99%

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A multi-objective differential evolutionary algorithm for optimal sustainable pavement maintenance plan at the network level

Pitt

et al. 2022

Journal of Cleaner Production

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“…The national road preservation system in Indonesia, particularly the routine maintenance of roads which was formerly conducted by self-management at each Commitment-Making Officer or Area/Project Manager as the manager of road sections, had since 2016 evolved into a long segment plan. The Directorate General of Highways through the Directorate of Road Preservation implemented a long segment policy for national road preservation, which combined routine maintenance work, both road routine and condition routine maintenance, preventive, holding work with road widening, rehabilitation, and reconstruction of many road sections into single contract [2]. The quality of road maintenance work on a long segment foundation is one of the indications of success in the strategy of attaining the longevity of a road pavement plan.…”

Section: Introductionmentioning

confidence: 99%

Analyzing the effect of road performance indicators on penalties for late fulfillment in road service levels

2023

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The long segment policy for national road preservation comprising routine maintenance work, both road routine and condition routine maintenance, preventive maintenance, and holding with widening, rehabilitation, and reconstruction of several road sections into a single contract had been implemented in Indonesia since 2016. Reliable road performance indicators including road pavement, road shoulders, drainage, road equipment, road complementary buildings, and clearances have an impact on-road performance. Therefore, an analysis must be carried out to obtain indicators for each road performance influencing Penalties for Late Fulfillment in Road Service Levels (PLRSL) charged to contractors if they could not meet the road performance indicators based on the specified repair response time. This study aims to improve the road service level through the compliance of road performance indicators on the success of sustainable construction projects. The Structural Equation Modeling (SEM) analysis results indicated that the road performance indicator in the road preservation program had a significant effect of 77.0% on the determination of PLRSL. In addition, road pavement, drainage, road shoulder, clearance, complementary buildings, and road equipment contributed statistically significant effect on the road performance indicator with values of 88.0%, 81.4%, 80.9%, 79.1%, 78.1%, and 51.3%, respectively. These results should be a concern for contractors and the government. With a clear understanding of the significant indicators in the context of the road maintenance project, these findings could potentially contribute to the development of comprehensive pavement handling on road maintenance programs related to the quality performance of the construction projects.

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An integer linear programming approach for pavement maintenance and rehabilitation optimization

Cited by 14 publications

References 27 publications

Exploring New Computational Strategies for Managing Maintenance Activities of Airport Pavement Systems

Exploring New Computational Strategies for Managing Maintenance Activities of Airport Pavement Systems

A multi-objective differential evolutionary algorithm for optimal sustainable pavement maintenance plan at the network level

Analyzing the effect of road performance indicators on penalties for late fulfillment in road service levels

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