An Analysis of "Brass Creep" in the Air Force

Abstract

Since the end of World War II, defense critics have censured the Department of Defense (DoD) from time to time for the slow decline in the ratio of officers to enlisted personnel. Senator John Glenn (D, Ohio), a member of the Senate Armed Services Committee, dubbed the phenomena "brass creep." It is generally assumed that a low proportion of officers is good, indicating a healthy and effective force structure, and that a high proportion of officers is bad. The purpose of this paper is to prove that the officer-enlisted ratio has limited usefulness, and if it is used to determine future manpower structure, it is likely to produce erroneous judgments about force composition. The paper explores the major causes of change in the officer-to-enlisted personnel ratio in the Air Force. Using officer-enlisted ratios to determine an appropriate manpower mix appears to be quite arbitrary. The number and type of personnel needed is determined by a complex process that clearly must be driven by the skill level needed to support wartime taskings. DoD must take a firm position with Congress to convince them that arbitrary officer-enlisted ratios are inappropriate for developing force structure.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1992
Accession Number
ADA262219

Entities

People

  • Neva J. Lynde

Organizations

  • Dwight D. Eisenhower School for National Security and Resource Strategy

Tags

Communities of Interest

  • Biomedical
  • Ground and Sea Platforms
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Base Closures
  • Civilian Personnel
  • Congress
  • Department Of Defense
  • Employment
  • Enlisted Personnel
  • Force Structure
  • Governments
  • Maintenance
  • Military Personnel
  • National Security
  • Personnel Management
  • Training
  • United States Government
  • War Colleges
  • Warfare

Readers

  • Military History of the United States in the 20th Century.
  • Military Mobilization and Reserve Forces Studies.
  • Regression Analysis.