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Selected Approximate Approaches to Robust Emergency Service System Design

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Operations Research and Enterprise Systems (ICORES 2020, ICORES 2021)

Abstract

When the structure of a rescue service system is newly formed or redesigned, several factors possibly affecting the system performance should be taken into account. Changes in the service center deployment following from the results of associated decision-making process are often expected to be applied for a long period and thus, the obtained result has a strategic importance. Usually, the mathematical model of the rescue service system design problem with robustness incorporation takes a complicated structure. This fact disables effective solving of the problem by the branch-and-bound method due to its bad convergence. In this paper, we provide the reader with a short spectrum of our own approximate modelling techniques, which can be used to obtain a sufficient solution of the p-location problem by means of integer programming in acceptably short computational time. Theoretical explanation of suggested methods is here accompanied with the computational study performed with real-sized problem instances.

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Acknowledgment

This work was supported by the research grants VEGA 1/0342/18 “Optimal dimensioning of service systems”, VEGA 1/0089/19 “Data analysis methods and decisions support tools for service systems supporting electric vehicles” and VEGA 1/0689/19 “Optimal design and economically efficient charging infrastructure deployment for electric buses in public transportation of smart cities”. This work was supported by the Slovak Research and Development Agency under the Contract no. APVV-19-0441.

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Kvet, M., Janáček, J., Kvet, M. (2022). Selected Approximate Approaches to Robust Emergency Service System Design. In: Parlier, G.H., Liberatore, F., Demange, M. (eds) Operations Research and Enterprise Systems. ICORES ICORES 2020 2021. Communications in Computer and Information Science, vol 1623. Springer, Cham. https://doi.org/10.1007/978-3-031-10725-2_4

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  • DOI: https://doi.org/10.1007/978-3-031-10725-2_4

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