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An empirical survey on co-simulation: Promising standards, challenges and research needs

期刊

SIMULATION MODELLING PRACTICE AND THEORY
卷 95, 期 -, 页码 148-163

出版社

ELSEVIER
DOI: 10.1016/j.simpat.2019.05.001

关键词

Co-simulation; Modelling; Simulation; Delphi method; Empirical survey

资金

  1. ECSEL JU [H2020 737469]
  2. Austrian Federal Ministry of Transport, Innovation and Technology (BMVIT)
  3. Austrian Federal Ministry for Digital and Economic Affairs
  4. National Foundation for Research, Technology and Development
  5. BMVIT [867358]
  6. Flanders Make vzw, the strategic research center for the manufacturing industry
  7. Research Foundation - Flanders [1S06316N]

向作者/读者索取更多资源

Co-simulation is a promising approach for the modelling and simulation of complex systems, that makes use of mature simulation tools in the respective domains. It has been applied in various different domains, oftentimes without a comprehensive study of the impact to the simulation results. As a consequence, over the recent years, researchers have set out to understand the essential challenges arising from the application of this technique. This paper complements the existing surveys in that the social and empirical aspects were addressed. More than 50 experts participated in a two-stage Delphi study to determine current challenges, research needs and promising standards and tools. Furthermore, an analysis of the strengths, weakness, opportunities and threats of co-simulation utilizing the analytic hierarchy process resulting in a SWOT-AHP analysis is presented. The empirical results of this study show that experts consider the FMI standard to be the most promising standard for continuous time, discrete event and hybrid cosimulation. The results of the SWOT-AHP analysis indicate that factors related to strengths and opportunities predominate.

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