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dc.contributor.advisorBuss, Arnold
dc.contributor.authorRoth, Geoffrey F.
dc.dateMar-16
dc.date.accessioned2016-04-29T21:19:51Z
dc.date.available2016-04-29T21:19:51Z
dc.date.issued2016-03
dc.identifier.urihttp://hdl.handle.net/10945/48587
dc.description.abstractThe Navy Supply Systems Command holds $21 billion of inventory across 430,000 repair part line items in support of ongoing naval operations. Selecting the correct reorder point for each of those line items requires a careful balance between tying up precious funding by holding too much inventory that may not be issued, and not holding enough inventory to meet customer demands in a timely fashion. This thesis compares three different methods for selecting the reorder point. The first method is a calculation that offers no attempt at optimization but is simple to understand. The second method is provided by a contractor and uses some optimization with unknown algorithmic details. The last method is a mixed-integer, linear optimization model. Comparative Inventory Simulation, a discrete event simulation model, is designed to find fill rates achieved for each National Item Identification Number under the different reorder methods. We find that average fill rates are higher in 22 out of 24 cases, and average backorder lengths are up to 50% shorter, using the last method.en_US
dc.description.urihttp://archive.org/details/asimulationoflte1094548587
dc.publisherMonterey, California: Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleA simulation of alternatives for wholesale inventory replenishmenten_US
dc.typeThesisen_US
dc.contributor.secondreaderSalmeron, Javier
dc.contributor.departmentOperations Research
dc.contributor.departmentOperations Researchen_US
dc.subject.authorInventory; simulation; event graphs; reorder point; fill-rate; backorder; discrete event simulation; wholesale inventory optimization modelen_US
dc.description.serviceLieutenant Commander, United States Navyen_US
etd.thesisdegree.nameMaster of Science in Operations Researchen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineOperations Researchen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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