Publication:
Analysis of the ship ops model's accuracy in predicting U.S. Naval ship operating cost

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Authors
Hascall, Andrew M.
Matthews, Andrew M.
Gyarmati, Mihaly
Gantt, William K.
Hajdu, Zsolt
Subjects
Cost Analysis
Cost Estimates
Forecasting
Navy
Naval Vessels (Combatant)
Operating and Support Costs
Advisors
Liao, Shu
Mutty, John
Date of Issue
2003-06
Date
June 2003
Publisher
Monterey, California. Naval Postgraduate School
Language
Abstract
The purpose of this MBA Project was to investigate and provide a comprehensive analysis of the accuracy of the Ship Ops model used by the US Navy to budget for ship-operating costs. This project was conducted with the sponsorship and assistance of the OPNAV N82 office, also known as the Office of Budget (FMB). The goal of this project was to improve FMB's ability to predict ship-operating costs through the use of an improved Ship Ops model. This project provides an in depth introduction to the Ship Ops model currently in use and an analysis of the model's performance in predicting accurate operating costs. The project also provides suggestions for improvements to the model and tools that can be used to predict costs on an individual ship level that is not possible with the current model. This project observed only limited improvements in predicting Repair Parts and OPTAR cost through the use of regressions based on operational data such as days underway. Significant improvement was observed when the current moving average methodology for predicting Repair Parts cost was replaced with a regression-based prediction based on a sequential independent variable, Fiscal Year.
Type
Description
MBA Professional Report
Department
Graduate School of Business & Public Policy (GSBPP)
Identifiers
NPS Report Number
Sponsors
Funder
Format
xviii, 285 p. : ill. (some col.)
xviii, 285 p., ill (some col.)
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
Copyright is reserved by the copyright owner
This 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.
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