Tracking in real time the blood products transportations to make good decisions

Quentin Schoen 1, 2 Franck Fontanili 1 Anne-Ghislaine Anquetil 2 Sébastien Truptil 1 Matthieu Lauras 1
1 CGI - Centre Génie Industriel
2 Etablissement Français du Sang
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.
Keywords : Process Mining Blood Physical Internet Complex Event Processing Physical Internet Complex Event Processing Process Mining
Type de document :
Communication dans un congrès
ISCRAM 2017 - 14th International Conference on Information Systems for Crisis Response and Management, May 2017, Albi, France. ISCRAM 2017 - 14th International Conference on Information Systems for Crisis Response and Management, p. 173-180, 2017
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Soumis le : jeudi 1 mars 2018 - 19:46:30
Dernière modification le : mardi 6 mars 2018 - 10:33:54

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Quentin Schoen, Franck Fontanili, Anne-Ghislaine Anquetil, Sébastien Truptil, Matthieu Lauras. Tracking in real time the blood products transportations to make good decisions. ISCRAM 2017 - 14th International Conference on Information Systems for Crisis Response and Management, May 2017, Albi, France. ISCRAM 2017 - 14th International Conference on Information Systems for Crisis Response and Management, p. 173-180, 2017. 〈hal-01618600〉

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