Abstract
This paper shows how to simulate and evaluate disaster response plans and in particular the process and the organization set up in such situations. We consider, as a case study, the tsunami resolution plan of Ho Chi Minh City, Vietnam. We firstly examine the process model corresponding to this plan by defining three scenarios and analyzing simulations built on top of them. Then, we study the agent organizational structure involved in the plan by analyzing the role graph of actors and notably the power, coordination and control relations among them according to the Grossi framework. These evaluations provide recommendations to improve the response plan.
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The power dimension defines the task delegation pattern; the coordination dimension concerns the flow of knowledge within the organization; and the control dimension between agent A and agent B means that agent A has to monitor agent B’s activities and possibly take over the unaccomplished tasks of agent B.
References
Franke, J., Charoy, F., Ulmer, C.: Handling Conflicts in Autonomous Coordination of Distributed Collaborative Activities, pp. 319–326, WETICE (2011)
Lesser, V., Corkill, D.: Challenges for multi-agent coordination theory based on empirical observations. In: Lomuscia, A., Scerri, P., Bazzan, A., Huhns, M. (eds.) Proceedings of 13th International Conference on Autonomous Agents and Multiagent Systems, IFAAMAS, pp. 1157–1160. In Challenge in Vision Special Track (2014)
Franke, J.: Coordination of distributed activities in dynamic situations. The case of inter-organizational crisis management. Ph.D. dissertation, University of Nancy, France (2011)
Thanh, L.N.T., Hanachi, C., Stinckwich, S., Vinh, H.T.: Representing, simulating and analysing Ho Chi Minh City Tsunami Plan by means of process models. In: ISCRAM (Information Systems for Crisis Response and Management) Vietnam 2013 Conference (2013)
Dugdale, J., Bellamine-Ben Saoud, N., Pavard, B., Pallamin, N.: Simulation and emergency management. In: van de Walle, B., Turroff, M., Hiltz, S.R. (eds.) Information Systems for Emergency Management, Chapter 10 (2010)
Rozinat, A., Mans, R.S., Song, M., Van der Aalst, W.M.: Discovering simulation models. In: Information Systems, vol. 34, no. 3, pp. 305–327, Elsevier (2009)
Rozinat, A., Wynn, M.T., Van der Aalst, W.M., ter Hofstede, A.H.M., Fidge, C.J.: Workflow simulation for operational decision support using design, historic and state information. In: Business Process Management, pp. 196–211. Springer (2008)
Grossi, D., Dignum, F., Dignum, V., Dastani, M., Royakkers, L.: Structural aspects of the evaluation of agent organizations. In: Coordination, Organizations, Institutions, and Norms in Agent Systems II, pp. 3–18. Springer (2007)
Van der Aalst, W.M., Nakatumba, J., Rozinat, A., Russell, N.: Business process simulation: how to get it right? In: BPM Center Report BPM-08-07, Citeseer (2008)
Rolland, C., Ben Achour, C., Cauvet, C., Ralyté, J., Sutcliffe, A., Maiden, N., Jarke, M., Haumer, P., Pohl, K., Dubois, E., Heymans, P.: A proposal for a scenario classification framework. In: Requirements Engineering Journal, vol. 3, no. 1, pp. 23–47. Springer (1998)
Longo, F.: Emergency simulation: state of the art and future research guidelines. In: SCS Modeling and Simulation Magazine, vol. 1 (2010)
Ahmad, A., Balet, O., Himmelstein, J., Boin, A., Schaap, M., Brivio, P., Ganovelli, F., Gobbetti, E., Pintore, G., de la Rivière, J.B.: Interactive simulation technology for crisis management and training: The INDIGO Project. In: Proceedings of the 9th International ISCRAM Conference (2012)
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Le, N.T.T., Hanachi, C., Stinckwich, S., Ho, T.V. (2015). Combining Process Simulation and Agent Organizational Structure Evaluation in Order to Analyze Disaster Response Plans. In: Jezic, G., Howlett, R., Jain, L. (eds) Agent and Multi-Agent Systems: Technologies and Applications. Smart Innovation, Systems and Technologies, vol 38. Springer, Cham. https://doi.org/10.1007/978-3-319-19728-9_5
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DOI: https://doi.org/10.1007/978-3-319-19728-9_5
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