The asset management of highway infrastructure is essential to ensure safety and efficiency of transit. This paper presents preliminary results from a case study involving the introduction of an asset management approach, along with the corresponding information system, developed for a major Italian highway concessionaire. The findings indicate that the objective functions to be considered fall into three categories: service, operational, and economic, and offer a viable model for their optimization. They also show that optimization through genetic algorithms is suitable for solving the problem, especially in conditions of low interdependence between maintenance interventions. A preliminary version of the developed software is also presented.

Optimization in Asset Management: Defining the Objective Function and Constraints / Rebuglio, M., Ottaviani, F.M., Saba, F., Carlin, A., De Marco, A.. - ELETTRONICO. - 1582:(2026), pp. 141-149. (13th World Conference on Information Systems and Technologies, WorldCIST 2025 Florianópolis (BRA) 2025) [10.1007/978-3-032-01130-5_12].

Optimization in Asset Management: Defining the Objective Function and Constraints

Rebuglio, Massimo;Ottaviani, Filippo Maria;Saba, Francesca;Carlin, Antonio;De Marco, Alberto
2026

Abstract

The asset management of highway infrastructure is essential to ensure safety and efficiency of transit. This paper presents preliminary results from a case study involving the introduction of an asset management approach, along with the corresponding information system, developed for a major Italian highway concessionaire. The findings indicate that the objective functions to be considered fall into three categories: service, operational, and economic, and offer a viable model for their optimization. They also show that optimization through genetic algorithms is suitable for solving the problem, especially in conditions of low interdependence between maintenance interventions. A preliminary version of the developed software is also presented.
2026
9783032011299
9783032011305
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/3016730
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