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Extended hypercube queueing models for stochastic facility location problems

Research output: Contribution to conference - Without ISBN/ISSN Abstract

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Publication date8/07/2012
<mark>Original language</mark>English
EventEURO XXV - Vilnius, Lithuania
Duration: 8/07/201211/07/2012

Conference

ConferenceEURO XXV
Country/TerritoryLithuania
CityVilnius
Period8/07/1211/07/12

Abstract

In this research, we are modeling the facility location problem for systems with many servers and stochastic demand, such as emergency response and on-demand transportation systems, by using spatial queues,specifically hypercube queuing models (HQMs). We are proposing two extended HQMs and a heuristic method which uses an approach similar to dynamic programming. Briefly, the heuristic solves a subproblem for each sub region which is generated by using similarities in demand and then combines them accordingly. Preliminary analysis gives promising results for some real life instances.