Seven pitfalls in modeling and simulation research

  • Authors:
  • Adelinde M. Uhrmacher

  • Affiliations:
  • University of Rostock, Rostock, Germany

  • Venue:
  • Proceedings of the Winter Simulation Conference
  • Year:
  • 2012

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Abstract

Modeling and simulation is applied in many disciplines. While its multidisciplinarity is part of its fascination, its ubiquity also holds some dangers. Being not aware about these dangers might imply that resources are wasted, (PhD-) projects fail, and the overall progress of modeling and simulation is needlessly slowed down. Seven of these pitfalls are identified and tentative recommendations are made on how these pitfalls can be avoided.