A Multi-Objective Decision Support Model for the Turkish Armed Forces Personnel Assignment System

Abstract

The Turkish Armed Forces (TAF) assign more than 25,000 active duty personnel annually. TAF wants to obtain maximum utilization of its personnel by assigning the right person to the right job at the right time, To accomplish this task, decision-makers and personnel assignment staff should consider conflicting multiple objectives that create the widely known problem called "personnel assignment problem". To assist in this complicated task from a quantitative perspective, a preemptive goal programming approach was used to develop an integer programming (IP) model to capture the multiple objectives flexibly and interactively. A realistic size IP problem with random data was tested for computational efficiency and analysis. The mean solution time for different instances of the problem was reasonably small. An application of the methodology in an actual assignment decision support system of any large-scale government or non-government organization has a potential to help decision-makers make better use of their personnel.

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Document Details

Document Type
Technical Report
Publication Date
Mar 20, 2001
Accession Number
ADA391070

Entities

People

  • Zubeyir Cimen

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Air Force Personnel
  • Computer Programming
  • Decision Support Systems
  • Employment
  • Goal Programming
  • Heuristic Methods
  • Integer Programming
  • Linear Programming
  • Mathematical Models
  • Mathematical Programming
  • Military Organizations
  • Multiobjective Optimization
  • Operating Systems
  • Operations Research
  • Psychology
  • Systems Engineering

Readers

  • Defense Technology Research and Development.
  • Military Mobilization and Reserve Forces Studies.
  • Operations Research