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Optimization

Optimization. It combines numerical simulation, statistical and operational research techniques for the optimization of products, processes, stocks, resources and their location, for route planning, work planning, and in general, optimal decision.
 

Outline:

  • Operation research models, mathematical programming and game theory:
    - Operation research models and techniques.
    - Mathematical programming.
    - Heuristic methods.
    - Genetic algorithms.
    - Metaheuristic methods.
    - Game theory.
  • Specific stadistical techniques for this application area.
  • Numerical simulation specific techniques for this application area.

Specific cases:

  • Optimization of production processes and stocks:
    - Production planning.
    - Resource optimization.
  • Strategy, logistics and planning:
    - Decision making problems.
    - Decision techniques.
    - Logistics.
    - Transportation.
    - Planning and route optimization.
    - Modelling, planning and design networks.
    - Location.
  • Operations research, mathematical programming and game theory:
    - Industrial and business processes optimization.

This transfer area combines numerical simulation, statistics and operational research techniques for the following examples:
  • Optimization of products and stocks.
  • Optimization of resources and their location.
  • Optimization of industrial and business processes.
  • Route planning.
  • Work planning.
  • Strategy, logistics and planning.
  • Location of services.
  • Optimal decision making.