Cost and Schedule Benchmarks for Defense Acquisition Contracts

Abstract

Managers of Department of Defense programs would benefit from having cost and schedule benchmarks that are based on the historical performance of similar programs. This research generated cost and schedule variance in percent benchmarks for 48 collectively exhaustive and mutually exclusive categories of DoD contracts. The ANOVA nested design methodology was used to compare these cost and schedule benchmarks across related categories of contracts to determine if the benchmarks were statistically significantly different. Such statistical difference would ensure program managers had a very specific tool tailored to their unique needs. Due to some relatively small sample sizes in the study, along with the rather large standard deviations associated with those samples, the majority of benchmarks did not prove to be statistically significantly different. As a result, most benchmarks do not uncategorically describe one, and only one, category of contract. Thus, program managers must exercise caution when drawing conclusions about how the cost and schedule performance of their current programs compares to the historical average. A few years from now, as the number of contracts included in the DAES database grows larger, a greater number of cost and schedule benchmarks that test statistically significantly different should be able to be calculated. Benchmark, Benchmarks, Cost variance, Schedule variance, Analysis of Variance (ANOVA)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1994
Accession Number
ADA285001

Entities

People

  • Donald E. Kehl
  • Glenn W. Buchfeller

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Human Systems
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Analysis Of Variance
  • Business Administration
  • Contracts
  • Control Systems
  • Cost Analysis
  • Data Science
  • Databases
  • Department Of Defense
  • Information Science
  • Military Acquisition
  • Procurement
  • Statistical Analysis
  • Statistics
  • Test And Evaluation
  • United States

Readers

  • Life Cycle Cost Analysis
  • Parallel and Distributed Computing.
  • Regression Analysis.