EMERGENCY LOCATIONS PROBLEMS WITH STOCHASTIC PARAMETERS

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dc.contributor.authorTharwat, Assem A.
dc.contributor.authorEl-Khodary, Ihab A. F.
dc.contributor.authorHassan, Emad El-din H.
dc.date.accessioned2023-03-28T08:09:12Z
dc.date.available2023-03-28T08:09:12Z
dc.date.issued2022
dc.description1 ORCID iD 0000-0003-4307-2111 2 ORCID iD 0000-0002-0036-634Xen_US
dc.description.abstractThe problem of determining the optimum locations for the emergency facility services in the case in which three possible routes between every pair of customers and service center was discussed assuming deterministic values for the parameters of the problem. In this paper, we introduce a description and solution algorithm for this problem focusing on the case in which the values of the spatial separations among the service centres and the customers are not deterministic but stochastic. The introduced solution is depending on hybridizing the Monte-Carlo Simulation technique with the Max-Separable optimization techniqueen_US
dc.description.sponsorshipMSA Universityen_US
dc.identifier.citationMSA Universityen_US
dc.identifier.issn2974-3036
dc.identifier.urihttp://repository.msa.edu.eg/xmlui/handle/123456789/5434
dc.language.isoenen_US
dc.publisherMSA-Management science journalen_US
dc.relation.ispartofseriesVolume: 1;Issue:1
dc.subjectEmergencyen_US
dc.subjectLocationen_US
dc.subjectOptimizationen_US
dc.subjectStochasticen_US
dc.subjectSimulationen_US
dc.titleEMERGENCY LOCATIONS PROBLEMS WITH STOCHASTIC PARAMETERSen_US
dc.typeArticleen_US

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Faculty Of Management Sciences Journal Volume 1 - Issue 1&2 - 2022