Cost Forecasting for Equipment during Initial Outfitting: A Comparative Analysis Among Three Military Services and the Private Healthcare Industry

Abstract

The purpose of this study was to determine the accuracy of the Army's current equipment estimation process during initial outfitting through the analysis of historical projects. The analysis revealed that on seven past projects, the Army was within budget on six projects. However, limitations of the study reveal that the results are truly inconclusive due to a small sample size and missing data. The study also identified variables that may be important in the cost forecasting process but are not currently included in the Army's budgeting methodology. For example, other organizations are including freight, storage, installment, and procurement assistance costs in budget estimates. Inclusion, or at least evaluation of these variables, may provide the possibility of further accuracy during the equipment budgeting process for the Army. The results lead to an unexpected conclusion that relates more toward a change in procedure than a change in the actual budget estimate figure. The private sector clearly has better data collection methods for tracking equipment planning during construction. The military health system (MHS) must centralize and standardize equipment data collection and reporting in order to conduct any historical or prospective analysis that can be useful in developing budget estimates.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1999
Accession Number
ADA420772

Entities

People

  • Barbara E. Nosek

Organizations

  • Academy of Health Sciences

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Budget Estimates
  • Business Administration
  • Department Of Defense
  • Financial Management
  • Health Care
  • Health Services
  • Hospitals
  • Information Systems
  • Management Personnel
  • Military Medicine
  • Organizational Structure
  • Patient Care
  • Procurement
  • Therapy
  • United States

Readers

  • Defense Acquisition Program Management
  • Life Cycle Cost Analysis
  • Regression Analysis.