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A disaster multiagent coordination simulation system to evaluate the design of a first‐response team


  • Mehdi Hashemipour
  • Steven Stuban
  • Jason Dever


Identifying the best design configuration for a first‐response team is important for minimizing total operation time and reducing the human cost of natural and manmade disasters. This paper presents ongoing research that focuses on a disaster multiagent coordination simulation (DMCsim) system that is able to optimally design the first‐response team and evaluate the team design configuration before initiation of a search and rescue operation. We developed an agent‐based simulation system that uses machine learning techniques and design of experiments methods to test different configuration setups and determine the effects of various factors on operation completion time. The evaluation of a team design for a disaster‐response operation revealed that some design factors have a significant effect on operation outcome. Removing the effects of uncontrollable factors, such as damage level and robot reliability, yielded a robust team design that could function in a particular disaster environment regardless of the effects of such factors. The DMCsim assists decision makers to evaluate an emergency‐response operation, revise the current strategy based on resources on hand, redesign the available team, and visually track operation performance before launching the actual team in the disaster field. This research extends previous disaster response coordination systems by proposing a new simulation model and evaluating a first‐response team design.

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  • Mehdi Hashemipour & Steven Stuban & Jason Dever, 2018. "A disaster multiagent coordination simulation system to evaluate the design of a first‐response team," Systems Engineering, John Wiley & Sons, vol. 21(4), pages 322-344, July.
  • Handle: RePEc:wly:syseng:v:21:y:2018:i:4:p:322-344
    DOI: 10.1002/sys.21437

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    References listed on IDEAS

    1. Myong-Hun Chang & Joseph E. Harrington, 2000. "Centralization vs. Decentralization in a Multi-Unit Organization: A Computational Model of a Retail Chain as a Multi-Agent Adaptive System," Management Science, INFORMS, vol. 46(11), pages 1427-1440, November.
    2. Jisung Kim & Richard M. Burton, 2002. "The Effect of Task Uncertainty and Decentralization on Project Team Performance," Computational and Mathematical Organization Theory, Springer, vol. 8(4), pages 365-384, December.
    3. Babak Heydari & Mohsen Mosleh & Kia Dalili, 2016. "From Modular to Distributed Open Architectures: A Unified Decision Framework," Systems Engineering, John Wiley & Sons, vol. 19(3), pages 252-266, May.
    4. Shah, Julie A. & Saleh, Joseph H. & Hoffman, Jeffrey A., 2008. "Analytical basis for evaluating the effect of unplanned interventions on the effectiveness of a human–robot system," Reliability Engineering and System Safety, Elsevier, vol. 93(8), pages 1280-1286.
    5. Sze-Sze Wong & Richard M. Burton, 2000. "Virtual Teams: What are their Characteristics, and Impact on Team Performance?," Computational and Mathematical Organization Theory, Springer, vol. 6(4), pages 339-360, December.
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