Mutual benefits of two multicriteria analysis methodologies: A case study for batch plant design

This paper presents a MultiObjective Genetic Algorithm (MOGA) optimization framework for batch plant design. For this purpose, two approaches are implemented and compared with respect to three criteria, i.e., investment cost, equipment number and a flexibility indicator based on work in process (the so-called WIP) computed by use of a discrete-event simulation model. The first approach involves a genetic algorithm in order to generate acceptable solutions, from which the best ones are chosen by using a Pareto Sort algorithm. The second approach combines the previous Genetic Algorithm with a multicriteria analysis methodology, i.e., the Electre method in order to find the best solutions. The performances of the two procedures are studied for a large-size problem and a comparison between the procedures is then made

Infrastructure network vulnerability

The work presented in this paper aims to propose a methodology of analyzing infrastructure network vulnerability in the field of prevention or reduction of the natural disaster consequences. After a state of the art on vulnerability models in the academic literature, the various vulnerability factors are classified and discussed. Eventually, a general model of vulnerability analysis including societal parameters is presented

Decision aid problems criteria for infrastructure networks vulnerability analysis (regular paper)

Natural disasters through infrastructure networks might aggravate or mitigate consequences to stakes. The objective of this paper is to characterize this kind of situation in order to provide a solid foundation for the decision aid. This characterization includes a description of the typology, actions and potential actions identification, determining preference systems, as well as a set of specific problems to each phase

Méthodologie et modèle d'analyse de la vulnérabilité et du risque des systèmes critiques interdépendants (regular paper)

Le travail présenté dans ce papier a pour objectif l'analyse des réseaux interdépendants, en vue de modéliser la vulnérabilité et le risque. Les concepts de Système et de composant critique sont définis. Une approche de modélisation des réseaux est présentée. Cette modélisation compatible avec la théorie des graphes, est basée sur l'analyse des interdépendances et des influences du milieu extérieur. Une démarche pour quantifier la vulnérabilité et le risque est également présentée. Celle-ci se décline en plusieurs étapes intégrant une analyse qualitative et quantitative. La méthodologie proposée inclue l'identification des systèmes à analyser, du contexte ainsi que l'évaluation des évènements redoutés

Dynamic hybrid simulation of batch processes driven by a scheduling module

Simulation is now a CAPE tool widely used by practicing engineers for process design and control. In particular, it allows various offline analyses to improve system performance such as productivity, energy efficiency, waste reduction, etc. In this framework, we have developed the dynamic hybrid simulation environment PrODHyS whose particularity is to provide general and reusable object-oriented components dedicated to the modeling of devices and operations found in chemical processes. Unlike continuous processes, the dynamic simulation of batch processes requires the execution of control recipes to achieve a set of production orders. For these reasons, PrODHyS is coupled to a scheduling module (ProSched) based on a MILP mathematical model in order to initialize various operational parameters and to ensure a proper completion of the simulation. This paper focuses on the procedure used to generate the simulation model corresponding to the realization of a scenario described through a particular scheduling

Authorization policies: Using Decision Support System for context-aware protection of user's private data

International audienceNowadays privacy in ambient system is a real issue. Users will have to control their data more and more in the future. Current security systems don't support a strong constraint: policy writers are non-technical users and not security experts. We propose in this paper to use Decision Support techniques and more specifically Multi-Criteria Decision Analysis in the process of authorization policy writing. This research area provides techniques to inform and assist non-technical users to write their own authorization policies following the paradigm of Attribute-Based Access Control

Decision Support System for Infrastructure Networks Vulnerability to Natural Disaster

This poster presents the mean contribution of the project VESTA (Vulnérabilité des rESeaux face aux caTastrophes nAturelles

Group decision making in oncology: A support through annotation management

International audienceWe propose a software prototype based upon annotations management in palliative ward of an oncology hospital in which dealing with patients' state and evolutions is a complex organizational task. We develop a 5 years empirical investigation that is giving us broad and deep insights to characterize activity and offer an effective support for group decision making and collaborative activity of caregivers. We based our conception of annotation tool on the observations of the rich writing practices of medical professionals. We rely on the innovative strategy of intermediate management to introduce a new technology able to bridge heterogeneous valuable data flows that address both management support and activity support into a single tool

How to Support Coordination Through Annotations? A Longitudinal Case Study of Nurses' Work in an Oncology Hospital

International audienceWe present an ongoing research in the field of healthcare computing and coordination support. We focus on nursing work in an oncology hospital. We use grounded theory methodology to structure this research. After 3 years of work and contributions in the field of communicational approaches of organizations, we are now designing a web mockup in a participative approach. This paper presents to cscw community an original way for improving coordination processes in healthcare through annotations support

How to Support Cooperative Decision Making ?

Decision Support Systems are designed to support decision makers facing unstructured problems. They were developed to interactively simulate the problem in order to propose part of the solution to the user. In organizations, decision making processes generally involve a group of individuals, rather than just one person. Group Decision Support Systems (GDSS) are designed to support groups involved in a decisional process. An overview of GDSS is presented, and a particular system called GRoUp System (GRUS) is demonstrated. A new methodology to use it is also presented in order to promote cooperation among stakeholders