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  • FurtherOrganisation – Opus Project
    Version 2 modified by pmpair 6 years ago WP0 Coordination Communication Dissemination Further details WP1 User requirements Specifications Further details WP2 Développement de méthodes avancées Further details WP3 Validation Demonstration Further details WP4 Industrialisation Output durability Further details Back Download

    Original URL path: http://www.opus-project.fr/trac/wiki/FurtherOrganisation?version=2 (2016-01-11)
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  • FurtherOrganisation (diff) – Opus Project
    Change Changes between Version 1 and Version 2 of FurtherOrganisation View differences inline side by side Show lines around each change Ignore Blank lines Case changes White space changes Timestamp 09 30 09 16 01 31 6 years ago Author pmpair Comment Legend Unmodified Added Removed Modified FurtherOrganisation v1 v2 19 19 wiki Wp4 Further details 20 20 21 Back 21 http www opus project fr trac wiki References Back

    Original URL path: http://www.opus-project.fr/trac/wiki/FurtherOrganisation?action=diff&version=2 (2016-01-11)
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  • References (diff) – Opus Project
    around each change Ignore Blank lines Case changes White space changes Timestamp 09 30 09 15 58 35 6 years ago Author pmpair Comment Legend Unmodified Added Removed Modified References v3 v4 46 46 The key point of the project success is the close cooperation between the WPs the planning respect and timely lock point identification and cancellation The WP leader mission requires therefore the tight look and deep commitment

    Original URL path: http://www.opus-project.fr/trac/wiki/References?action=diff&version=4 (2016-01-11)
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  • References – Opus Project
    later on Hence nowadays several major partnerships at the international level ESREDA MUCM SAMSI or the French level IMdR have launched ambitious works to capitalise on uncertainty treatments into generic guides that would meet virtually any industrial need It aims at designing a common template to be followed as well as specific guidelines to methodology that might best fit the particular case typically according to the data and experts information availability model complexity and so on The genuine study cases considered in these projects all from different business areas illustrate a startling feature although the applications and physics involved are completely different the implicit mathematical structure seems very similar Moreover the methodology collections to shop in for each step are common and the choice is rather dependent on the criteria the underlying institutional regulation or study purpose than on the application Indeed the conceptual framework that fits conceptually at least virtually any industrial uncertainty study can be resumed by the following figure Schéma traitement incertitudes This scheme ought to be considered as a skeleton for a purely uncertainty part of an industrial study So far all the three essential steps as well as satellites B and C may be shown application free it is rather mutually dependent At a conceptual level it may be one size fits all solution meanwhile it is not assumed to be so when applied Instead the reference guide provides the methodologies to shop from and the guidelines to chose from that handleads and educates an industrial engineer over the uncertainties aspects avoiding him becoming a specialist in this complex field It may therefore be implemented as Software that would perform all the modelling propagation and criteria check and would only ask some relevant questions playing the role of Babel Fish a translator from the industrial world to the mathematical When dependency structure between the steps of this application free framework is closely investigated it appears that one step directs others in many aspects the purpose of the study often a criterion to comply with or a business decision making together with some features of the available model and the study context variables involved deterministic or random or a bit of both Therefore the very sensible approach to start with is to get it from the right end see the box above This conceptual conclusion comes as an essential point for the consolidation process of building the generic uncertainty management framework In brief the consolidation of uncertainty treatment practices aims at a kind of two side split for a generic industrial study The first one would gather all the bits specific to the particular application whereas the second one would collect the uncertainty related bits Ideally the uncertainty slice may prove to be a common to any application or can be managed to become so and might be embedded into a comprehensive Software package This would offer to an application specialist in charge of a whole study the uncertainty management toolkit applicable to his field know

    Original URL path: http://www.opus-project.fr/trac/wiki/References?version=3 (2016-01-11)
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  • References (diff) – Opus Project
    Cooke etc this involves for instance the field of design of experiments meta models statistical learning functional analysis of variance advanced Bayesian algorithms high dimensional data analysis etc 32 32 33 Project organisation 34 35 The far reaching goals and the mixture of partners from various backgrounds and mindsets imply a careful approach to project management Designed to lean the overall project run to its ambitious objectives it is structured into six Work Packages WP Moreover an innovative inner body the Expert College is designed to ensure the scientific relevance of findings developments and permanent adjustment by the worldwide science progress 36 37 WP0 Coordination Dissemination Communication 38 WP0 Expert College 39 WP1 User requirements Specifications 40 WP2 Scientific development 41 WP3 Validation Demonstration 42 WP4 Industrialisation Product durability 43 44 Each WP has a coordinator named by the Partnership typically for its recognised proficiency in the relevant field and for his capability and willingness to combine the scientific development mission with coordination of all involved partners S He organises the WP in a set of deliverables and sets the relevant meeting schedule and dissemination events 45 46 The key point of the project success is the close cooperation between

    Original URL path: http://www.opus-project.fr/trac/wiki/References?action=diff&version=3 (2016-01-11)
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  • FurtherObjectives – Opus Project
    targets are Genericity it is designed to embed the methodologies that fit virtually any industrial problem setting User friendliness it is designed for engineering use and provides a sensible commercial like software interface documentation and the ease of use High Performance it is designed to cope with genuinely complex system simulators that requires operating heavy computer models State of the art methods it is aimed to provide the users with a complete set of the methods picked from the latest scientific advances Open Source it is Open Source as the only way to prove the methodology transparency to keep evolving in pace with worldwide scientific progress Integrated it is meant to work with any computer code so its API is designed consequently Supported Sustained it is designed together with a business model that ensures its durability Besides the platform sustainable dynamic around the shared and open uncertainty treatments is the key objective of the project From the conceptual point of view many communities agree on the need to uniform the glossary methods and approaches into an industry wide standard indeed many are working on From the software point however many remain stuck to their old fashion although sometimes high performing

    Original URL path: http://www.opus-project.fr/trac/wiki/FurtherObjectives?version=3 (2016-01-11)
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  • ValueGeneration – Opus Project
    value for academic institutions involved in by advertising their activity and achievements in France and abroad OPUS creates the value for the Stakeholders by disseminating its results and committing its software to the Open Source OPUS contributes to the French prowess and leadership in the Uncertainty Treatments by creating and sustaining a dynamic on the software face of it OPUS contributes to the value creation of many co funded or

    Original URL path: http://www.opus-project.fr/trac/wiki/ValueGeneration?version=2 (2016-01-11)
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  • FurtherObjectives – Opus Project
    are Genericity it is designed to embed the methodologies that fit virtually any industrial problem setting User friendliness it is designed for engineering use and provides a sensible commercial like software interface documentation and the ease of use High Performance it is designed to cope with genuinely complex system simulators that requires operating heavy computer models State of the art methods it is aimed to provide the users with a complete set of the methods picked from the latest scientific advances Open Source it is Open Source as the only way to prove the methodology transparency to keep evolving in pace with worldwide scientific progress Integrated it is meant to work with any computer code so its API is designed consequently Supported Sustained it is designed together with a business model that ensures its durability Besides the platform sustainable dynamic around the shared and open uncertainty treatments is the key objective of the project From the conceptual point of view many communities agree on the need to uniform the glossary methods and approaches into an industry wide standard indeed many are working on From the software point however many remain stuck to their old fashion although sometimes high performing libraries

    Original URL path: http://www.opus-project.fr/trac/wiki/FurtherObjectives?version=2 (2016-01-11)
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