Optimizing large scale emergency medical system operations on highways using the hypercube queuing model
نویسندگان
چکیده
In this study we present straightforward optimization methods to address two problems associated with designing large scale ambulance operations on highways; the question of location and the issue of districting. Previous approaches tackled small scale problem instances using exact hypercube queuing models integrated into optimization procedures mainly due to excessive computer storage and runtime requirements of large problem instances. We overcome these limitations by embedding a fast and accurate hypercube approximation algorithm adapted for partial backup dispatch policies in singleand multi-start greedy heuristics. We apply the proposed methods to a case study for comparisons and present computational results for large scale problem instances of up to 100 ambulances. The results show that our straightforward approach is a viable alternative for the analysis and configuration of large scale highway emergency medical systems, providing reasonable accuracy and affordable running times.
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