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Author 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 (up) 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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Author Ahmed Laatabi; Benoit Gaudou; Chihab Hanachi; Patricia Stolf; Sébastien Truptil
Title Coupling Agent-based Simulation with Optimization to Enhance Population Sheltering Type Conference Article
Year 2022 Publication ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2022
Volume Issue Pages 116-132
Keywords Sheltering; Simulation; Agent-Based Modeling; Optimization; Vehicle Routing Problem; Coupling; Flood Evacuation
Abstract Population sheltering is a recurrent problem in crisis management that requires addressing two aspects: evacuating vulnerable people using emergency vehicles and regulating movements of pedestrians and individual vehicles towards shelters. While these aspects have received considerable attention in modeling and simulation literature, very few approaches consider them simultaneously. In this paper, we argue that Agent-Based Modeling and Simulation (ABMS) and Optimization are two complementary approaches that can address the problem of sheltering globally and efficiently and be the basis of coherent frameworks for decision- and policy-making. Optimization can build efficient sheltering plans, and ABMS can explore what-if scenarios and use geospatial data to display results within a realistic environment. To illustrate the benefits of a framework based on this coupling approach, we simulate actual flash flood scenarios using real-world data from the city of Trèbes in South France. Local authorities may use the developed tools to plan and decide on sheltering strategies, notably, when and how to evacuate depending on available time and resources.
Address University of Toulouse; University of Toulouse; University of Toulouse; University of Toulouse; CEA Tech Occitanie
Corporate Author Thesis
Publisher Place of Publication Tarbes, France Editor Rob Grace; Hossein Baharmand
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-82-8427-099-9 Medium
Track (up) Analytical Modeling and Simulation Expedition Conference
Notes Approved no
Call Number ISCRAM @ idladmin @ Serial 2403
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Author Anne-Marie Barthe-Delanoë; Sébastien Truptil; Nelly Olivier-Maget; Frédérick Bénaben
Title Towards an Organizational and Socio-Technical Context-Aware Adaptation of Emergency Plans Type Conference Article
Year 2018 Publication ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2018
Volume Issue Pages 212-217
Keywords Agility, context awareness, emergency plan, preparation
Abstract In France, facilities listed under environment protection regulations are required to draw up emergency plans. During a crisis situation, facing an unexpected event, these plans may be irrelevant. They have to be adapted to the current crisis situation and its observed or anticipated evolutions, using data emitted by the crisis ecosystem. But this adaptation requires lots of effort and is time-consuming. This article aims at presenting an approach to ensure the dynamic adaptation of emergency plans. We propose to identify generic configuration variables (representing interactions of physical phenomena and human factors on the facility) and to feed these configuration variables by collecting and processing data emitted by sensors, social networks, official reports, etc. Therefore, emergency plans could natively integrate agility by their ability to detect and take into account a change in the crisis situation and decision makers will be supported since the early stage of the crisis response.
Address
Corporate Author Thesis
Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium
Track (up) Command and control studies Expedition Conference ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 2101
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Author Anne Marie Barthe; Sébastien Truptil; Frédérick Bénaben
Title Agility of crisis response: Gathering and analyzing data through an event-driven platform Type Conference Article
Year 2014 Publication ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2014
Volume Issue Pages 250-254
Keywords Artificial intelligence; Decision support systems; Agility; Collaborative process; Complex event processing; Crisis response; Crisis situations; Event-driven architectures; Information concerning; Nuclear accidents; Information systems
Abstract The goal of this article is to introduce a platform (called Agility Service) that gathers and analyses data coming from both crisis response and crisis field by using the principles of Complex Event Processing. As a crisis situation is an unstable phenomenon (by nature or by effect of the applied response), the crisis response may be irrelevant after a while: lack of resources, arrival of a new stakeholder, unreached objectives, over-crisis, etc. Gathering data, analyze and aggregate it to deduce relevant information concerning the current crisis situation, and making this information available to the crisis cell to support decision making: these are the purposes of the described platform. A use case based on the Fukushima's nuclear accident is developed to illustrate the use of the developed prototype.
Address University of Toulouse – Mines Albi, France
Corporate Author Thesis
Publisher The Pennsylvania State University Place of Publication University Park, PA Editor S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih.
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780692211946 Medium
Track (up) Decision Support Systems Expedition Conference 11th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 291
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Author Anne Marie Barthe; Sébastien Truptil; Frédérick Bénaben
Title Towards a taxonomy of crisis management simulation tools Type Conference Article
Year 2015 Publication ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2015
Volume Issue Pages
Keywords crisis management tool; simulation; taxonomy; test-bed
Abstract Experimentation is an essential element to improve crisis management and to assess crisis management tools. Unfortunately, for the moment, real crisis management experimentations are episodic and generally focus on a specific geographical and/or thematic area. This is why the European DRIVER project aims to provide a test-bed platform where crisis management testing and experimentation can be carried out with a mix of live and simulated actions. To achieve this goal, simulation tools have to be identified, described and classified in order to (i) help the user to select tools and models based on the experimentation requirements and (ii) to allow the DRIVER platform to insure exchange information between simulated actions and live actions. This paper focuses on the taxonomy used to classify simulation tools relevant for crisis management. This taxonomy is divided into three main categories of characteristics: (i) business (type/topic of the simulation), (ii) legal (terms of use), (iii) technical (integration within the DRIVER platform and/or other crisis management (simulation) tools).
Address
Corporate Author Thesis
Publisher University of Agder (UiA) Place of Publication Kristiansand, Norway Editor L. Palen; M. Buscher; T. Comes; A. Hughes
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9788271177881 Medium
Track (up) Decision Support Systems Expedition Conference ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management
Notes Approved yes
Call Number Serial 1285
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Author Anne Marie Barthe; Frédérick Bénaben; Sébastien Truptil; Hervé Pingaud
Title A flexible network of sensors: Case study Type Conference Article
Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013
Volume Issue Pages 344-348
Keywords Complex networks; Error detection; Information systems; Complex event processing; Event pattern; Event-driven architectures; Eventdriven architecture (EDA); Flexible networks; Geographical area; Network of sensors; System of measurements; Network architecture
Abstract The goal of this article is to introduce a plastic architecture of a survey system dedicated to any kind of geographical area that requires to be observed. The principle of this architecture is to allow to change dynamically the set of sensors that is used to monitor the area and also to provide an analyze system able to deal with this unstable set of sensors. Based on Event-Driven Architecture (EDA) technology, such a system does not provide new features compared with traditional set of static sensors connected through cables to dozens of bulbs lighting when a predefined subset of measures is not in the expected range. However, the introduced architecture provides a completely agile and dynamic system of measurement where neither the network of sensors nor the system of measure interpretation is static.
Address Université de Toulouse, Mines Albi, France; Université Jean-François Champollion, France
Corporate Author Thesis
Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9783923704804 Medium
Track (up) Emergency Management Information Systems Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 292
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Author Audrey Fertier; Aurélie Montarnal; Anne-Marie Barthe-Delanoë; Sébastien Truptil; Frédérick Bénaben
Title Adoption of Big Data in Crisis Management Type Conference Article
Year 2016 Publication ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2016
Volume Issue Pages
Keywords Crisis Management; Big Data; Decision Support; Agility
Abstract Most agree that the innate complexity and uncertainty of a crisis compel the stakeholders to coordinate in a hurry, despite their heterogeneity or the volume of data to process. Supporting their coordination is now possible, thanks to a mediation system combined with big data management tools. The GéNéPi1 project explores this possibility and proposes to improve the generation of collaborative processes offered by the MISE2?s solution. The idea is to increase the number of usable data sources. To do that, in a fixed time-frame, the situation models have to be instantly generated upon sets of raw data. This new methodology holds the key to a new big data era: an age where global understanding reigns.
Address
Corporate Author Thesis
Publisher Federal University of Rio de Janeiro Place of Publication Rio de Janeiro, Brasil Editor A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3395 ISBN 978-84-608-7984-16 Medium
Track (up) Intelligent Decision Support in the Networked Society Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 1334
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Author Audrey Fertier; Aurélie Montarnal; Sébastien Truptil; Anne-Marie Barthe-Delanoë; Frédérick Bénaben
Title A situation model to support collaboration and decision-making inside crisis cells, in real time 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 1020-1028
Keywords Crisis Management; Situation Model; Situation Awareness; Big Data
Abstract Natural and man-made hazards have many unexpected consequences that concern as many heterogeneous services. The GéNéPi project offers to support officials in addressing those events: its purpose is to support the collaboration in the field and the decision-making in the crisis cells. To succeed, the GéNéPi system needs to be aware of the ongoing crisis developments. For now, its best chance is to benefit from the ever growing number of available data sources. One of its goals is, therefore, to learn how to manage numerous, heterogeneous, more or less reliable data, in order to interpret them, in time, for the officials. The result consists on a situation model in the shape of a common operational picture. This paper describes every stage of modelling from the raw data selection, to the use of the situation model itself.
Address Centre Génie Industriel, Université de Toulouse, Albi, France; Laboratoire de Génie Chimique, Université de Toulouse, CNRS, INPT, UPS, Toulouse, France
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 (up) Response and Recovery Expedition Conference 14th International Conference on Information Systems for Crisis Response And Management
Notes Approved no
Call Number Serial 2085
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Author Sébastien Truptil; Frédérick Benaben; Hervé Pingaud
Title Collaborative process design for mediation information system engineering Type Conference Article
Year 2009 Publication ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives Abbreviated Journal ISCRAM 2009
Volume Issue Pages
Keywords Ontology; Systems engineering; Collaborative process; Crisis; Global approaches; Meta model; Models transformations; System of systems; Information systems
Abstract To reduce a crisis, heterogeneous actors must coordinate their actions and exchange information. The ISyCri project aims at facilitating this collaboration by providing a Mediation Information System (MIS), which change the set of partners into a system of systems. The design of this MIS is based on the characterization of the crisis and services of actors. The first step of MIS design consists in deducing a collaborative process involving partners of the crisis reduction (from the characterization of the crisis and services of actors). This step is based on a metamodel, which allows to build models (consistent with each other) and ontologies. The inference of the collaborative process is not a trivial issue: The deducing approach uses ontologies and models transformation to organize services according to characteristics of the crisis. This paper discusses this global approach and an illustrative case of study.
Address Université de Toulouse – Ecole des Mines, D'Albi-Carmaux, France
Corporate Author Thesis
Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Gothenburg Editor J. Landgren, S. Jul
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9789163347153 Medium
Track (up) Standardization and Ontologies Expedition Conference 6th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 1021
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