A Comparative Study of Learning Curve Models and Factors in Defense Cost Estimating Based on Program Integration, Assembly, and Checkout

Abstract

The purpose of this research was to investigate the flattening effect at tail end of learning curves by identifying amore accurate learning curve model. The learning curve models accepted by DOD are Wright's original learning curve theory and Crawford's Unit Theory. The models were formulated in 1936 and 1944 respectively. This analysis compares the conventional models to contemporary learning curve models in order to determine if the current DOD methodology is outdated. The results are inconclusive as to if there is a more accurate model. The contemporary models are the DeJong and S-Curve and they both include an incompressibility factor, which is the percentage of the process that includes automation. Including models that incorporate automation was important as technology and machinery plays a larger role in production. Wrights model appears to be most accurate unless incompressibility is very low. A trend for all models appeared. The trend is Wrights curve was accurate early in production and the contemporary models were more accurate later in production. Future research should have an objective of finding a heuristic for when the models are most accurate or comparative studies including more models.

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Document Details

Document Type
Technical Report
Publication Date
Mar 24, 2016
Accession Number
AD1054102

Entities

People

  • Brandon J. Johnson

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Autonomy
  • Human Systems
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircraft Industry
  • Aircrafts
  • Airframes
  • Assembly
  • Assembly Lines
  • Computational Science
  • Cost Analysis
  • Cost Estimates
  • Data Analysis
  • Data Science
  • Data Set
  • Databases
  • Department Of Defense
  • Descriptive Analytics
  • Digital Data
  • Governments
  • Information Science
  • Life Cycles
  • Manufacturing
  • Spreadsheet Software
  • Statistical Analysis
  • United States

Readers

  • Life Cycle Cost Analysis
  • Regression Analysis.
  • Systems Analysis and Design