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Modeling and Similitude01:12

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Related Experiment Video

Updated: May 12, 2026

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

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Process simulation during the design process makes the difference: process simulations applied to a traditional

Roberto Traversari1, Rien Goedhart, Jan Maarten Schraagen

  • 1Corresponding Author: Roberto Traversari, BSc, MBA, Dutch Centre for Health Assets (DuCHA), The Netherlands Organisation for Applied Scientific Research TNO, Kampweg 5, 3769 DE Soesterberg, The Netherlands, roberto.traversari@tno.nl.

HERD
|March 28, 2013
PubMed
Summary

Process simulation revealed optimal operating room layouts, differing from traditional designs. Key findings include a 3x3m clean area and 2.05m supply bridge height, with exceptions for surgical robots and microscopes.

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Area of Science:

  • Healthcare design and engineering
  • Human factors in medicine
  • Surgical workflow optimization

Background:

  • Lack of evidence on optimal operating room (OR) layout, including ultraclean ventilation (UCV) canopy placement and preparation room integration.
  • Absence of literature on using process simulation for OR design and workflow optimization.
  • Traditional OR designs often evolve without evidence-based validation of workflow effectiveness.

Purpose of the Study:

  • To evaluate a traditionally designed operating room using simulation of various surgical workflows.
  • To identify optimal operating room layouts through process simulation.
  • To compare simulation-based OR design with traditional design approaches.

Main Methods:

  • Observational techniques applied to simulated typical surgical procedures.
  • Process simulations conducted with complete surgical teams and equipment for four interventions.
  • Data collection on conflicts with clean area boundaries and supply bridge height, followed by team feedback.

Main Results:

  • A 3x3m clean area and 2.05m supply bridge height were satisfactory for most simulated procedures with a movable operating table.
  • Conflicts with the supply bridge occurred during the use of surgical robots (e.g., Da Vinci) and surgical microscopes.
  • Potential bottlenecks identified in the clean area dimensions during multiple trauma interventions.

Conclusions:

  • Process simulation of surgical interventions led to significantly different OR layouts compared to traditional design methods.
  • Simulation provides a data-driven approach to optimize OR design for specific surgical workflows.
  • Evidence-based design principles, informed by simulation, can improve OR functionality and efficiency.