Identification and Importance of Factors in Component Breakout and High Dollar Value Spare Part Breakout Decisions.

Abstract

The purpose of this study was to investigate why component breakout is not more extensively used as a cost saving technique in U.S. Air Force procurements. To accomplish this review of the literature, and component breakout documentation maintained at Aeronautical Systems Division was completed. These reviews resulted in a composite list of twelve factors used to justify a non-breakout decision. Sixteen System Program Office directors were then asked to consecutively rank the factors in order of importance to a breakout decision. A rank of one was given to the most important factor with the least important receiving a rank of twelve. Overall importance was then determined by summing the ranks given to each factor. The factor with the lowest sum was considered to be most important and so on until the factor with the highest sum was identified as the least important. A nonparametric statistical test was conducted on this ranked data to determine the level of agreement between the SPO directors of the relative importance of each factor. The results of this test indicated a high level of agreement among the SPO director on the overall importance of each factor in a breakdown decision. Keywords: Cost analysis; Contracts.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1987
Accession Number
ADA187767

Entities

People

  • Mitchell L. Heitmann

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Air Force Procurement
  • Aircrafts
  • Business Administration
  • Contracts
  • Cost Analysis
  • Government Procurement
  • Governments
  • Literature Surveys
  • Logistics
  • Organizational Structure
  • Personnel Management
  • Procurement
  • Spare Parts
  • Statistical Analysis
  • Statistical Tests

Readers

  • Life Cycle Cost Analysis
  • Military Logistics and Supply Chain Management
  • Regression Analysis.