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Author (up) Hoang Nam Ho; Mourad Rabah; Ronan Champagnat; Frédéric Bretrand
Title Towards an Automatic Assistance in Crisis Resolution with Process Mining Type Conference Article
Year 2019 Publication Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2019
Volume Issue Pages
Keywords Crisis management, traces, response plan, clustering, process mining.
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.
Address Université de La Rochelle / L3i, France;Kereon intelligence, France
Corporate Author Thesis
Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium
Track T7- Planning, Foresight and Risk Analysis Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
Notes Approved no
Call Number Serial 1947
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Author (up) Quentin Schoen; Sébastien Truptil; Franck Fontanili; Matthieu Lauras; Anne-Ghislaine Anquetil
Title Tracking in real time the blood products transportations to make good decisions Type Conference Article
Year 2017 Publication Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2017
Volume Issue Pages 173-180
Keywords Blood; Physical Internet; Complex Event Processing; Process Mining
Abstract The French Blood Establishment (EFS) is the only one in France allowed dealing with the blood supply chain. The EFS centers are scattered in France and blood products are transported over hundreds of kilometers, from collection sites to hubs and from the hubs to distribution sites. The strong constraints on lifetime and storage conditions imply a traceability of transportation steps very accurate, which is necessary in case of unexpected and unwanted events. To make “good” decisions, we propose in this research work to use the Physical Internet philosophy. Thanks to sensors in containers and Complex Event Processing modules to aggregate and filter the data collected, we would be able to create a real time “field model”. In case of crisis this model would be helpful and perfectly adapted to help the crisis unit to make “good” decisions and maybe propose solutions based on the past events.
Address IMT – Mines d'Albi Carmaux – Centre Génie Industriel; Etablissement Français du Sang
Corporate Author Thesis
Publisher Iscram Place of Publication Albi, France Editor Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN Medium
Track Analytical Modeling and Simulation Expedition Conference 14th International Conference on Information Systems for Crisis Response And Management
Notes Approved no
Call Number Serial 2009
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