Please use this identifier to cite or link to this item:
Title: Budget Forecasting for U.S. Marine Corps Corrective Maintenance Costs
Authors: Eddine Dahel
Keywords: Budget Forecasting
U.S. Marine Corps
Issue Date: 30-Mar-2020
Publisher: Acquisition Research Program
Citation: Published--Unlimited Distribution
Series/Report no.: Budget Forecasting;SYM-AM-20-053
Abstract: This 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.
Description: Acquisition Management / Defense Acquisition Community Contributor
Appears in Collections:Annual Acquisition Research Symposium Proceedings & Presentations

Files in This Item:
File Description SizeFormat 
SYM-AM-20-053.pdf793.1 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.