Developing Standard Production Cost Factors for Major Defense Acquisition Program (MDAP) Platforms

Abstract

Cost estimators commonly use the analogy and factor method when developing Major Defense Acquisition Program (MDAP) estimates. Previous studies discussing and developing factors for the production life-cycle phase have been limited in scope and statistical analysis efforts. This research significantly expands the currently available toolkit for Department of Defense cost analysts by updating the current database of historical data and exploring potential relationships through statistical testing. Specifically, 3,462 unique factors were created across nine level II Work Breakdown Structure (WBS) elements broken down into four categories: commodity type, contract type, contractor type, and service. The production cost factors were created using data points from 145 MDAPs spanning from 1953 to 2018. Calculated factors were statistically tested for significant differences in their respective WBS element (by category) using non-parametric methods. The updated database and findings will aid analysts in quickly identifying categories that may impact their cost estimate. The practical and statistical analysis performed provide cost estimators with guidance and an improved production cost factor toolkit.

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Document Details

Document Type
Technical Report
Publication Date
Mar 22, 2020
Accession Number
AD1100660

Entities

People

  • Jordan S Edwards

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Aircrafts
  • Contractors
  • Contracts
  • Cost Analysis
  • Cost Estimates
  • Data Science
  • Databases
  • Department Of Defense
  • Governments
  • Information Science
  • Military Acquisition
  • Statistical Analysis
  • Statistical Inference
  • Statistics
  • Systems Engineering

Readers

  • Defense Acquisition Program Management
  • Life Cycle Cost Analysis
  • Statistical inference.