We introduce the problem of assigning alert duties to emergency service providers, namely civil protection teams and heart surgery wards in order to evenly distribute the workload among all providers and to optimize the level of service, measured by the ntervention time. We compare two different exact optimization methods to solve this kind of problems, one based on general purpose integer linear programming solvers and the other based on Lagrangean relaxation and branch-and-bound. We also present a GRASP heuristic and we show how it can be used in combination with the general-purpose solver. Experimental results are presented on instances adapted from the O.R. Library and on instances taken from real applications.

Optimization of duties assignment in emergency services / D. Gilberti, G. Righini - In: IEEE International conference on service operations and logistics, and informatics : SOLI 2007 : proceedingsPiscataway : Institute of electrical and electronics engineers, 2007. - ISBN 9781424411184. - pp. 1-6 (( convegno IEEE/INFORMS International Conference on Service Operations and Logistics, and Informatics (SOLI) tenutosi a Philadelphia nel 2007 [10.1109/SOLI.2007.4383865].

Optimization of duties assignment in emergency services

G. Righini
2007

Abstract

We introduce the problem of assigning alert duties to emergency service providers, namely civil protection teams and heart surgery wards in order to evenly distribute the workload among all providers and to optimize the level of service, measured by the ntervention time. We compare two different exact optimization methods to solve this kind of problems, one based on general purpose integer linear programming solvers and the other based on Lagrangean relaxation and branch-and-bound. We also present a GRASP heuristic and we show how it can be used in combination with the general-purpose solver. Experimental results are presented on instances adapted from the O.R. Library and on instances taken from real applications.
Integer linear programming; Lagrangean relaxation; Mathematical programming; Services optimization
Settore MAT/09 - Ricerca Operativa
2007
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/226761
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