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dc.contributor.advisorHudgens, Bryan
dc.contributor.advisorKang Keebom
dc.contributor.authorBogdanovich, Jeff
dc.contributor.authorLaNore, Marc
dc.dateDec-14
dc.date.accessioned2015-02-18T00:17:12Z
dc.date.available2015-02-18T00:17:12Z
dc.date.issued2014-12
dc.identifier.urihttp://hdl.handle.net/10945/44523
dc.descriptionApproved for public release; distribution is unlimiteden_US
dc.description.abstractThe Defense Logistics Agency (DLA) updates its demand forecasts and creates orders to replenish aviation hardware inventory levels once each month. The current system creates cyclical shortages in demand planning staff due to monthly spikes in forecasting and purchase order activities. These staffing shortfalls could be reduced or eliminated if the workload were more evenly distributed over time. The project goal is to determine the optimal forecast interval (time between forecast updates) and duration (length of forecast) such that monthly workload variation among the DLA’s purchasing staff is minimized, subject to the constraint of satisfying customer order requirements. The measure of effectiveness is the extent to which workload variations are reduced over time compared to the status quo.en_US
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.titleOptimal demand execution strategy for the Defense Logistics Agencyen_US
dc.typeThesisen_US
dc.contributor.departmentGraduate School of Business & Public Policy (GSBPP)
dc.subject.authorDemand Managementen_US
dc.subject.authorDemand Forecastingen_US
dc.subject.authorDefense Logistics Agencyen_US
dc.description.serviceLieutenant Commander, United States Coast Guarden_US
etd.thesisdegree.nameMaster of Business Administrationen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineBusiness Administrationen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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