Time Granularity Impact on Propagation of Disruptions in a System-of-Systems Simulation of Infrastructure and Business Networks
Mateusz Iwo Dubaniowski and
Hans Rudolf Heinimann
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Mateusz Iwo Dubaniowski: ETH Zurich, Future Resilient Systems, Singapore-ETH Centre, Singapore 138602, Singapore
Hans Rudolf Heinimann: ETH Zurich, Future Resilient Systems, Singapore-ETH Centre, Singapore 138602, Singapore
IJERPH, 2021, vol. 18, issue 8, 1-24
Abstract:
A system-of-systems (SoS) approach is often used for simulating disruptions to business and infrastructure system networks allowing for integration of several models into one simulation. However, the integration is frequently challenging as each system is designed individually with different characteristics, such as time granularity. Understanding the impact of time granularity on propagation of disruptions between businesses and infrastructure systems and finding the appropriate granularity for the SoS simulation remain as major challenges. To tackle these, we explore how time granularity, recovery time, and disruption size affect the propagation of disruptions between constituent systems of an SoS simulation. To address this issue, we developed a high level architecture (HLA) simulation of three networks and performed a series of simulation experiments. Our results revealed that time granularity and especially recovery time have huge impact on propagation of disruptions. Consequently, we developed a model for selecting an appropriate time granularity for an SoS simulation based on expected recovery time. Our simulation experiments show that time granularity should be less than 1.13 of expected recovery time. We identified some areas for future research centered around extending the experimental factors space.
Keywords: system-of-systems; high level architecture (HLA); infrastructure modelling; infrastructure resilience; time granularity; complex networks; synchronization (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)
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