Forecasting Flying Hour Costs of the B-1, B-2, and the B-52 Bomber Aircraft

Abstract

This thesis both evaluates, and presents improvements to, the current method of forecasting flying costs of Air Force aircraft. It uses depot level repairable (DLR) and consumable (CONS) data for the Air Force's bomber platforms: B-1B, B-2, and B-52H. The current forecasting method assumes a proportional relationship between costs and flying hours such that 1) when no hours are flown costs are zero, and 2) a 1% increase in flying hours will increase costs by 1%. The findings of this research indicate that applying log-linear ordinary least squares regression techniques may be an improved fit of flying cost data over the current proportional model; the actual data indicate a non-zero intercept and a less than proportional relationship between costs and flying hours. This research also found that models including factors other than flying hours as independent variables, such as sorties, lagged costs, and fiscal trends, may be more useful than models based solely on flying hours. Finally, this research found that estimating quarterly costs at the base-level may yield more accurate estimates than estimating at the monthly level, or mission design series level.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2008
Accession Number
ADA483271

Entities

People

  • Stefanie L. Van Dyk

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Air Force
  • Aircraft Equipment
  • Aircrafts
  • Airframes
  • Bomber Aircraft
  • Cost Estimates
  • Data Sets
  • Databases
  • Department Of Defense
  • Deployment
  • Information Science
  • Literature Surveys
  • Logistics
  • Maintenance
  • Military Equipment
  • Petroleum
  • Regression Analysis

Readers

  • Aerospace logistics and air mobility.
  • Logistics and Supply Chain Management.
  • Regression Analysis.