Optimizing large-scale emergency medical system operations on highways using the hypercube queuing model

Ana Paula Iannoni, Reinaldo Morabito and Cem Saydam

Socio-Economic Planning Sciences, 2011, vol. 45, issue 3, 105-117

Abstract: In this study, we present a series of well-known optimization methods to address two related decisions associated with the design of large-scale ambulance operations on highways: (1) The question of location, and (2) the issue of districting. As a result of computer storage and runtime constraints, previous approaches have only considered small-to-moderate scale problem scenarios, generally employing exact hypercube queuing models integrated into optimization procedures. We overcome these limitations here by embedding a fast and accurate hypercube approximation algorithm adapted for partial backup dispatch policies in single- and multi-start greedy heuristics. The proposed methods are tested on small-to-large-scale problems involving up to 100 ambulances. The results suggest that our approach is a viable alternative for the analysis and configuration of large-scale highway emergency medical systems, providing reasonable accuracy and affordable run times.

Keywords: Emergency; medical; systems; Ambulance; deployment; Approximate; hypercube; queuing; model; Multi-start; greedy; heuristic; Probabilistic; location; and; districting; problems (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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