Optimizing Urgent Material Delivery by Maximizing Inventory Slack

dc.contributor.authorMontjoy, Adam
dc.contributor.authorHerrmann, Jeffrey
dc.date.accessioned2012-06-12T20:18:05Z
dc.date.available2012-06-12T20:18:05Z
dc.date.issued2012-06-12
dc.description.abstractMotivated by the need to create plans for delivering medication quickly during a public health emergency, this paper formulates the Inventory Slack Routing Problem. The planning goal is to deliver material as early as possible to demand sites from a central depot at which material arrives over time. The objective function is to maximize the minimum slack of the deliveries so that all demand sites are treated equitably. This paper presents and analyzes the problem, discusses solution techniques, and discusses the results of computational experiments used to compare the solution techniques. Although motivated by planning for public health emergencies, this work is also applicable to other settings in which material must be delivered quickly to multiple facilities that rely upon the material to operate.en_US
dc.identifier.urihttp://hdl.handle.net/1903/12499
dc.language.isoen_USen_US
dc.relation.isAvailableAtInstitute for Systems Researchen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.relation.ispartofseriesTR_2012-06
dc.subjectVehicle Routing and Schedulingen_US
dc.subjectPublic Emergency Preparednessen_US
dc.titleOptimizing Urgent Material Delivery by Maximizing Inventory Slacken_US
dc.typeTechnical Reporten_US

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