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[Simulation as a method for solving medical technical problems]

J Wittmann1, A Obermayer

  • 1Institut für Anästhesiologie der Friedrich-Alexander-Universität, Erlangen Nürnberg.

Biomedizinische Technik. Biomedical Engineering
|May 1, 1995
PubMed
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This paper overviews simulation methodology, detailing various modeling approaches and their data interpretation constraints. It guides selecting appropriate simulation models for industrial applications to ensure valid results.

Area of Science:

  • Methodology of simulation and computational modeling.
  • System dynamics and discrete-event simulation.
  • Data interpretation and validation in computational models.

Context:

  • Industrial applications of simulation models.
  • Challenges in modeling real-world systems.
  • Need for standardized simulation methodologies.

Purpose:

  • To provide a comprehensive overview of simulation methodology.
  • To classify simulation model applications and construction approaches.
  • To guide the selection and interpretation of simulation models.

Summary:

  • Discusses various approaches to modeling real-world systems and their constraints.
  • Classifies simulation model applications and presents three distinct construction methods.

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  • Emphasizes matching modeling concepts to applications and interpreting results for industrial use.

    • Impact:

    • Enhances understanding of simulation model validity and appropriate application.
    • Aids in deriving conclusions from simulation results in industrial contexts.
    • Facilitates informed decision-making through proper model selection and implementation.