An Evaluation of Models and Techniques Used for Determining Optimum Supervisory/Employee Ratios in Defense Logistics Agency (DLA) Organizations.

Abstract

The purpose of this study was to determine what models or techniques exist that can assist DLA Supply Centers in identifying and maintaining optimum supervisory/employee ratios within their first-line organizational elements. Basic objectives of the study were 1) to identify all existing simulation models or other techniques, 2) assess their adaptability or suitability to governmental organizations, 3) compare existing DLA first line supervisory/employee ratios with those obtained from applying suitable models or techniques, and 4) survey first line DLA supervisors to obtain their reaction to the products of the models or techniques. Results of the research revealed four existing models (Lockheed, waiting line, Keren/Levhari, and Dewar/Simet) for determining optimum supervisory/employee ratios. All were judged suitable for application to DLA organizations, but because of complexity, the Keren/Levhari and Dewar/Simet models were eliminated form further consideration in this study. Application of the Lockheed and waiting line models to DLA first-line organizations produced optimum ratios that were very close to those actually existing in the organizations.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1987
Accession Number
ADA187988

Entities

People

  • Stuart D. Scott

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Classification
  • Computer Programming
  • Computers
  • Cost Reductions
  • Costs
  • Decision Support Systems
  • Department Of Defense
  • Information Systems
  • Literature Surveys
  • Logistics
  • Management Personnel
  • Management Planning And Control
  • Organizational Structure
  • Simulations
  • Standards
  • Supervisors

Readers

  • Computational Modeling and Simulation
  • Computer Engineering
  • Defense Technology Research and Development.