A Survey of Effective Measures in the Logistics Support Analysis Process.

Abstract

This thesis was a general attempt to determine if Logistics Support Analysis (LSA) process effectiveness could be measured with the confines of the Aeronautical Systems Division. Surveys of opinion were sent to LSA program managers representing several program offices and general attitudes were collected in response to forty-three measurement questions. Response packages were returned by sorted, categorized, and analyzed, against a background of five major research questions, ranging from the measurability of LSA process effectiveness to the predictive factors contributing to increased levels of overall effectiveness. Results from the study clearly indicate a preponderance of evidence suggesting that LSA process effectiveness is indeed measurable. While this is clearly the first significant step in modeling the effectiveness issue, the research goes on to identify accepted predictive factors to be used in program assessment. Several categories of factors were examined and offer a point of departure for indepth variable analysis. Finally the study investigates the qualifications of individual program managers and suggests criteria for more precise measurement. Success of the research lead to detailed conclusions and recommendations for areas requiring future emphasis. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1984
Accession Number
ADA148443

Entities

People

  • P. S. Woodland

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Availability
  • Contractors
  • Contracts
  • Databases
  • Department Of Defense
  • Deployment
  • Failure Mode And Effect Analysis
  • Logistics
  • Logistics Support
  • Maintenance
  • Management Personnel
  • Organizational Structure
  • Program Management
  • Systems Engineering
  • Task Performance And Analysis
  • Test And Evaluation

Readers

  • Computational Linguistics
  • Instructional Design and Training Evaluation.
  • Theoretical Analysis.