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Simulation & Optimization Models

The simulation can be considered as a wide range of methods and techniques aimed at imitation and reproduction of the behavior of real systems, usually on a computer. It uses mathematical models of the systems analyzed. The purpose of building a simulation model is to experiment with it rather than experimenting with the real system (too expensive, there is no ethical, etc..). The information obtained from the execution of the simulation model is used to make decisions concerning the real system. Furthermore, the simulation model allows, through the definition of scenarios, answering questions such as what would happen if ...?.

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Application to engineering, health and environment

The team has experience in the development of simulation models of complex systems that evolve over time (dynamic ) and have the characteristic of uncertainty (stochastic ) and in the design and use of simulation optimization methods in multicriteria contexts where it is considered simultaneously optimizing some criteria. Proof of this are the real problems in which the team has successfully applied this methodology :


  • Analysis of the hydrological system configurations .
  • Sizing or an industrial plant for the recycling of life vehicles .
  • Analysis of traffic over mobile phone masts .
  • Production planning in a steel mill.
  • Evaluation of inventory policy in aluminum rolling industry .
  • Optimization of the repository storage in a paper industry.


  • Evaluation of a system of production and storage of renewable energy.
  • Analysis of logistics or a pick up of used tires.
  • Logistic analysis of a glass recycling system .
  • Economic viability of wind farms " offshore ".


  • Sizing resources or health centers.
  • Analysis and Management of the Technological Medical Care Center of Navarre.
  • Analysis and simulation in decision making in the ICU.
  • Evaluation of operations in an urgency service.