Hybrid simulation models - When, Why, How?

  • Authors:

  • Lauri Lättilä;Per Hilletofth;Bishan Lin

  • Affiliations:

  • Lappeenranta University of Technology, Kouvola Unit, Prikaatintie 9, FIN-45100 Kouvola, Finland;Logistics Research Centre, School of Technology and Society, University of Skövde, P.O. Box 408, SE-541 28 Skövde, Sweden;Department of Management and Marketing, Business School, Louisiana State University in Shreveport, Shreveport, LA 71115, USA

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2010

Quantified Score

Hi-index 12.06

Visualization

Abstract

Agent-Based Modeling and Simulation (ABMS) and System Dynamics (SD) are two popular simulation paradigms. Despite their common goal, these simulation methods are rarely combined and there has been a very low amount of joint research in these fields. However, it seems to be advantageous to combine them to create more accurate hybrid models. In this research, the possible ways to combine these methods are studied. The authors have found five different situations where it will be useful to combine these methods. All of them have already been used in earlier studies, so modelers should use them as possible interfaces to combine the methodologies. By using hybrid simulation models it is possible to create more accurate and reliable Expert Systems (ES).