Event-Cloud Platform to Support Decision- Making in Emergency Management

The challenge of this paper is to underline the capability of an Event-Cloud Platform to support efficiently an emergency situation. We chose to focus on a nuclear crisis use case. The proposed approach consists in modeling the business processes of crisis response on the one hand, and in supporting the orchestration and execution of these processes by using an Event-Cloud Platform on the other hand. This paper shows how the use of Event-Cloud techniques can support crisis management stakeholders by automatizing non-value added tasks and by directing decision- makers on what really requires their capabilities of choice. If Event-Cloud technology is a very interesting and topical subject, very few research works have considered this to improve emergency management. This paper tries to fill this gap by considering and applying these technologies on a nuclear crisis use-case

Introduction to the Minitrack on Disaster Information, Technology, and Resilience in Digital Government

International audienceThe 21st Century has been termed "the century of disasters." Worldwide there were twice as many disasters and catastrophes in the first decade of this century as in the last decade of the 20th Century. All continents are affected, both directly and indirectly. And the trend continues, fuelled by climate change, demographic changes and social dynamics. The serious challenges facing government in cities, regions and nations of the world relate to acute shocks (such as forest fires, floods, earthquakes, tsunamis, pandemics and terrorist attacks) and chronic stresses (such as high unemployment, religious extremism, inefficient public transport systems, endemic violence, chronic shortages of food and water). Information is among the key life-supporting essentials in a disaster response, as well as water and basic foods which are vital to sustain lives. It is information technology these days that gives us access to most of this information. We rely greatly on it. In this sense, information management with effective use of information systems should be conducted and evaluated among disaster relief agencies. Successful information management will result in making higher situational awareness in a field that is crucial for a disaster response. It also guides us to build a disaster-resilient community which can adapt the society to those unexpected events. These issues should be tackled at each level of the governance (international, national, regional, local, etc.), and with regards to all relevant dimensions (social, technological, interoperability, agility, etc.). This minitrack features government and disaster information management, including the development of disaster resilience communities/societies. Five papers have been selected that deal with any aspect of the analysis, design, development, deployment, implementation, integration, operation, use or evaluation of ICT for discussing government roles for disaster responses, disaster information management, and resilience communities. In addition, we support innovative and breakthrough visions regarding "disaster information, technology and resilience.

An ontology-based collaborative business service selection: contributing to automatic building of collaborative business process

International audienceWith worldwide inter-enterprise collaboration and interoperability background, automatic collaborative business process deduction is a crucial researching subject. We have designed a methodology of deducing collaborative process by only collecting collaborative objectives and partners’ business services. The two key problems are (i) selecting corresponding business services for a set of collaborative objectives and (ii) ordering business services with serializations and parallelization. This paper aims to present a solution of business service selection and the following business process extraction. In order to solve the problem, we have defined a collaborative ontology, which contains numerous instances of business services and processes from the MIT process handbook. The collaborative ontology contains essential concepts in collaborative situations and process-deducing rules and algorithms. We provide a brief illustration of implementation within a SaaS toolkit called Mediator Modeling 2ool

Persistent physics-based crisis management framework: A case study of traffic in the Nantes city due to flood exposure

In the context of crisis, the characteristics of the crisis area and the operational measures of the community play key roles in managing the crisis. The Nantes ring road in France is always exposed to flooding and its disruptions. To anticipate the disruptions and timely preventive actions for this frequent phenomenon, the main challenges are (i) forecast of vehicles' flows, (ii) capacity of the ring road to handle the traffic (iii) evaluate the performance of alternate routes during the flooding. The flooded area as a system has components of (i) the flood (e.g. time of onset, magnitude, intensity, etc.), (ii) the area (e.g. geographical features, temporary perimeter barriers, dam, diversion canals), and (iii) the community (e.g. reaction time, emergency strain, evacuation delay). The approach chosen to conduct this anticipative study consists of collecting data about forecasts and using simulation models to work simultaneously on evaluating the performance of the ring road and its alternative routes

Making Strategic Supply Chain Capacity Planning more Dynamic to cope with Hyperconnected and Uncertain Environments

Public and private organizations cope with a lot of uncertainties when planning the future of their supply chains. Additionally, the network of stakeholders is now intensely interconnected and dynamic, revealing new collaboration opportunities at a tremendous pace. In such a context, organizations must rethink most of their supply chain planning decision support systems. This is the case regarding strategic supply chain capacity planning systems that should ensure that supply chains will have enough resources to profitably produce and deliver products on time, whatever hazards and disruptions. Unfortunately, most of the existing systems are unable to consider satisfactorily this new deal. To solve this issue, this paper develops a decision support system designed for making strategic supply chain capacity planning more dynamic to cope with hyperconnected and uncertain environments. To validate this decision support system, two industrial experiments have been conducted with two European pharmaceuticals and cosmetics companies

Enabling supply chain agility and resilience improvement: toward a methodolody and platform

International audienceOur research ambition is to provide businesses with a methodology and platform able to guide them towards the improvement of their logistics network in terms of agility and resilience, and so of their overall supply chains performances. To minimize the efforts that businesses will have to provide, our methodology will enable the platform to automate the recommendations for logistics network performance improvements in terms of agility and resilience. To fulfil this ambition, we are combining two research projects: the Physical Internet Initiative and the IO-Suite project