Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/4202
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dc.contributor.authorEddine Dahel-
dc.date.accessioned2020-12-02T20:00:56Z-
dc.date.available2020-12-02T20:00:56Z-
dc.date.issued2020-03-30-
dc.identifier.citationPublished--Unlimited Distributionen_US
dc.identifier.urihttps://dair.nps.edu/handle/123456789/4202-
dc.descriptionAcquisition Management / Defense Acquisition Community Contributoren_US
dc.description.abstractThis project presents some methodologies to forecast corrective maintenance costs of the 1st Marine Division. Nearly half of the 1st Marine Division’s budget, approximately $25 million, is used for maintenance. The current budgeting process has a number of weaknesses, which include insufficient detail to defend against funding cuts and overreliance on historical execution and expert opinion, and is therefore ill-equipped to adapt to changing requirements or communicate impacts on readiness. By combining and analyzing data from a variety of independent sources, including financial, maintenance, and transportation data, two classes of models were developed to assist maintenance budget planners develop accurate forecasts of corrective maintenance costs. The first class, consisting of causal models, is used to identify cost drivers impacting corrective maintenance costs of two vehicles among the 20 most expensive vehicles used by the Division. The second class, consisting of time series techniques, is used to forecast corrective maintenance costs of the Division’s Type A items (or items consuming 80% of the maintenance budget). The analysis indicates that the models can provide a more quantitative and accurate methodologies for 1st Marine Division planners to build, justify, and defend its corrective maintenance budget.en_US
dc.description.sponsorshipAcquisition Research Programen_US
dc.language.isoen_USen_US
dc.publisherAcquisition Research Programen_US
dc.relation.ispartofseriesBudget Forecasting;SYM-AM-20-053-
dc.subjectBudget Forecastingen_US
dc.subjectU.S. Marine Corpsen_US
dc.subjectMaintenanceen_US
dc.subjectCostsen_US
dc.titleBudget Forecasting for U.S. Marine Corps Corrective Maintenance Costsen_US
dc.typeArticleen_US
Appears in Collections:Annual Acquisition Research Symposium Proceedings & Presentations

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