A Methodology for Comparing the Value of Competing AFMC Manpower Allocation Strategies.

Abstract

This research effort develops a methodology for Air Force Materiel Command (AFMC) decision makers to use during mandated resource allocation exercises for comparing competing manpower allocation strategies. A value model is used to represent the hierarchical objectives of the command, with the primary objective being the attainment of maximum mission effectiveness in the face of constrained resources. Value model decomposition is patterned according to the command's organizational structure. Scoring functions derived using direct assessment survey techniques capture the relationship between manpower and mission effectiveness for lowest level organizations. An additive value function represents the model mathematically; the primary objective value is calculated as a weighted sum of objective values at all model levels beneath it. Results compare overall values obtained with several of AFMC's commonly used allocation strategies to values obtained with existing command manpower resources. Alternatives offering small diminishment (for mandated reductions), or great improvements (for mandated increases), from current value are the best candidates for further evaluation by decision makers. Model sensitivity to weights and to the types of scoring functions used is addressed.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1995
Accession Number
ADA293904

Entities

People

  • Sandra K. Smith

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Air Force Budgets
  • Air Force Facilities
  • Availability
  • Budgets
  • Department Of Defense
  • Engineering
  • Guidance
  • Hierarchies
  • Leadership
  • Logistics
  • Manpower
  • Operations Research
  • Organizational Structure
  • Test And Evaluation

Readers

  • Aerospace logistics and air mobility.
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.