Abstract
Emergency medical service system structure is determined by deployment of limited number of the service providing centers. The objective of the designer is to minimize the total discomfort of all system users. Thus, the problem often takes the form of the weighted p-median problem. Since population and demands for service change in time and space, current service center deployment may not meet the requirements of the users and service providers neither. We suggest and discuss a mathematical model for system reengineering under the generalized disutility. Formulation of the generalized disutility follows from the idea that the individual user’s disutility is caused by positions of more than one located service center. Generalized disutility enables to model the system performance more realistically. It enables to take into account also such situations in which the nearest service center may be temporarily unavailable due to satisfying another demand. This approach represents an extension of our previous research, in which only the nearest center was taken as a source of individual user’s demand satisfaction.
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Acknowledgment
This work was supported by the research grants VEGA 1/0342/18 “Optimal dimensioning of service systems”, VEGA 1/0463/16 “Economically efficient charging infrastructure deployment for electric vehicles in smart cities and communities”, and APVV-15-0179 “Reliability of emergency systems on infrastructure with uncertain functionality of critical elements”.
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Kvet, M., Janáček, J., Kvet, M. (2019). Computational Study of Emergency Service System Reengineering Under Generalized Disutility. In: Parlier, G., Liberatore, F., Demange, M. (eds) Operations Research and Enterprise Systems. ICORES 2018. Communications in Computer and Information Science, vol 966. Springer, Cham. https://doi.org/10.1007/978-3-030-16035-7_11
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DOI: https://doi.org/10.1007/978-3-030-16035-7_11
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