There are 7 Results with the keyword : "modeling"

COLIVAD

Innovation - Embedded systems

Colivad: modeling and optimization of the logistics chain

The global logistics chain involves the optimization of flows at all stages of the Supplier/Customer chain: production, procurement, storage, distribution. Our team focuses on the optimization methods applied to the logistics chain at both the operational and strategic level. In the COLIVAD project, we have developed an optimization tool for package delivery that takes into account the resources specific to the company and its subcontractors.

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Home > Innovation > industrial sectors > Software publishing, embedded system > Demos > Colivad : modélisation et optimisation de la chaîne logistique

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Portrait François Baccelli ©-INRIA-Photo-A.Eidelman

History of Inria

François Baccelli: network wizard

A graduate of the ENST, he submitted a PhD thesis in 1983 on "probabilistic models for distributed systems". He joined Inria in 1987. He led the research group on modelling and simulation of computer systems at the Sophia-Antipolis research centre until 1998. Today, he heads up the TREC project-team.

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Home > Institute > Inria in brief > The people who made Inria > François Baccelli

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Olivier Faugeras © INRIA Photo A.Eidelman

History of Inria

Olivier Faugeras: from computer vision to neurosciences

A graduate of the Ecole Polytechnique and the ENST, Olivier Faugeras obtained a PhD from the University of Utah in 1976. With a doctorate in sciences from Paris VI University, he joined Inria (Sophia Antipolis) as a senior research scientist in 1981.

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Home > Institute > Inria in brief > The people who made Inria > Olivier Faugeras

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COLIVAD

Innovation - Embedded systems

Colivad: modeling and optimization of the logistics chain

The global logistics chain involves the optimization of flows at all stages of the Supplier/Customer chain: production, procurement, storage, distribution. Our team focuses on the optimization methods applied to the logistics chain at both the operational and strategic level. In the COLIVAD project, we have developed an optimization tool for package delivery that takes into account the resources specific to the company and its subcontractors.

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Home > Centre > Lille > Innovation > Industries of commerce > Demo > Colivad : modélisation et optimisation de la chaîne logistique

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Computer-Aided Design of nanosystems

Research team : NANO-D -

Presentation of SAMSON (Software for Adaptive Modeling and Simulation Of Nanosystems). SAMSON is a software platform for modeling and simulating nanosystems, either natural or artificial. SAMSON integrates algorithms developed by the NANO-D team at INRIA and its collaborators. The specificity of SAMSON consists in the integration of simulation methods during the modeling phase: adaptive, interactive simulation algorithms provide immediate feedback on the impact of modeling choices.

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Home > Centre > Nancy > Innovation > RII > Demonstrations > Nanosystémes

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Patient specific modeling and simulations of the electromechanical activity of the heart

Research team : MACS -

Presentation of various patient specific simulations of the cardio-vascular system. The results obtained in a clinical or pre-clinical context pave the way for the use of numerical simulations in a diagnosis or prognosis context in cardiology.

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Home > Centre > Nancy > Innovation > RII > Demonstrations > Modélisation du coeur d'un patient

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Data assimilation in tumor growth modeling : towards patient calibrated models using imaging devices

Research team : MC2 -

Most of the time, clinicians follow the evolution of in-vivo tumors using medical images. The tumor growth or the efficacy of a therapy are evaluated using simple criteria based on the images (diameter measurements for instance) .

Our goal is to improve these evaluations by developing new robust quantitative criteria based on mathematical models and medical images. Through these spatial models for tumor growth calibrated patient by patient, one could  an insight of the future evolution of the tumor, its composition or could be helped finding the most efficient therapeutical protocol.

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Home > Centre > Nancy > Innovation > RII > Demonstrations > Modélisation des tumeurs

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