Article published in February 2020, translated from French.
Proud to have taken part in the crisis management research programme!
Here is a scientific publication of the research work carried out with the L3i laboratory at La Rochelle University.
I brought my technical knowledge and my experience of crisis management to the research team. The general idea: use process mining to learn from past operational responses (to a disaster, for example) and suggest actions during the current crisis.
There is still a long way to go before we get relevant decision support in the chaotic world of a crisis, where data is by nature missing and unpredictable.
Many thanks to the research team at the L3i laboratory of La Rochelle University for this fascinating collaboration!
Abstract
To deal with a crisis situation, experts must undertake a chain of activities, called process, to minimize crisis consequences. To assist the expert in making decision in crisis resolutions, authors propose a method aiming at discovering crisis response processes.
This method is based on a two-step strategy: the first step classifies the system’s traces, representing stakeholders’ past actions, into different sets, where each one represents a set of response processes according to a specific context; the second step uses process mining algorithm to discover the corresponding response plan process model based on the obtained chain of activities for each previously classified context.
These response plans will be a referenced aid for experts while making crisis resolution, according to each context. The proposed approach is illustrated on the traces issued from the crisis caused by the 2010 Xynthia storm in France.
This work was part of the GeDyCRisM ERDF-ESF project, carried out in collaboration with Systel, and the authors thank me in the paper’s acknowledgments: “Authors particularly wish to thank Fabrice Lainard for his valuable technical feedback.”
Hoang Nam Ho, Mourad Rabah, Ronan Champagnat, Frédéric Bertrand (L3i, La Rochelle Université). Towards an Automatic Assistance in Crisis Resolution with Process Mining. Proceedings of the 16th ISCRAM Conference, València, Spain, May 2019. Read the paper (PDF).