Optimization of Customer Priorities and Personnel Preferences in Scheduling Range Operations at NUWC Keyport

Abstract

This thesis examines the use of integer linear programming with binary decision variables to maximize customer priorities for in-water range events at NUWC Keyport, ensure adequate craft manning, and optimize employee schedule preferences. The research presents an algorithm that balances customer demands with employee preferences by solving an integer linear program, referred to as the optimization model, in a preemptive manner (i.e., the customer priority objective is first met and once the optimal operational schedule is solved, then the optimal employee work schedule is found that will execute the operational schedule). If a feasible solution is found for both objectives, this preemptive method is guaranteed to find a Pareto optimal solution, meaning another solution cannot be found without making one or both objectives worse off. The employee preferences are constrained such that crew members are rostered together for that operational period. The program maximizes customer priorities and optimizes employee schedules for a variety of likely scenarios. It is a useful tool for better linking the operational schedule to employee availability.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2018
Accession Number
AD1065470

Entities

People

  • Douglas S. Ray

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Availability
  • Department Of Defense
  • Engineering
  • Engineers
  • Geographic Regions
  • Geography
  • Health Care
  • Integer Programming
  • Linear Programming
  • Literature Surveys
  • Maintenance
  • Mathematical Programming
  • Operations Research
  • Optimization
  • Remotely Piloted Vehicles
  • Scheduling (Production)
  • Systems Engineering
  • Test And Evaluation
  • Underwater Equipment
  • United States
  • Unmanned Underwater Vehicles

Readers

  • Economics
  • Mathematical Modeling and Probability Theory.
  • Organizational Psychology.