Optimization Models to Support a Limited Objective Test/Experiment (LOT/E) of a Billet Marketplace for Assigning USMC Officers

Abstract

This research investigates how to optimally assign U.S. Marine Corps (USMC) officers to billets. Currently, the USMC relies on monitors to manually develop the assignment solution based on limited information. This leaves the USMC with a suboptimal use of its resources, and with officers whose human capital is not fully developed or who consider attrition. The research shows essential features of a marketplace from other military branches. Emphasis is placed on those features directly related to meeting the billet requirements, the preferences of Marines and Marines' career paths. This marketplace system requires a substantial amount of information from billet owners, monitors, and officers. Data from a subset of the aviation community were collected and processed to develop optimization models that balance two goals: permanent change of station cost, and Marines' priorities. The models are amenable to extensions that consider additional goals and requirements, as data become available. Experimentation shows insightful tradeoffs in the two objectives and provides efficient solutions, which are useful in presenting alternatives.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2020
Accession Number
AD1126547

Entities

People

  • Martin K. Nganga

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Biomedical
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Active Duty
  • Air Force
  • Business Administration
  • California
  • Computer Programming
  • Data Centers
  • Data Processing
  • Department Of Defense
  • Families (Human)
  • Health Services
  • Integer Programming
  • Management Personnel
  • Marine Corps
  • Mathematical Models
  • Mathematical Programming
  • Military Science
  • Multiobjective Optimization
  • National Security
  • Operations Research
  • Optimization
  • Organizational Structure
  • Personnel Management
  • Standards
  • Students
  • Training
  • United States
  • Warfare

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Economics
  • Naval Personnel Management