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route: Research at the UTT 
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Seven teams constitute the Charles Delaunay
Institute today :
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Laboratory of Mechanical Systems and
Concurent Engineering |
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Laboratoy of systems Modelling and
Dependability |
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Laboratory of Nanotechnologies and
Optical Instrumentation |
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Laboratory of Industrial Systems Optimization |
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Laboratory of Co-operative Technologies
for innovation and Organizational Changes |
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Center for Research and Interdisciplinary
Studies on Sustainable Development |
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Autonomic Networking Environment |
The last two teams were proposed as
part of the four-year contract of the establisment
2008-2011
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Laboratoy
of systems Modelling and Dependability |
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The LM2S Team has defined its research
objectives on the theme of dependability.
Better performance, more drastic security
measures,functionality and cost demands
are all antagonistic objectives for
research which must be conciliated
with the best possible systems management
throughout lifespan.
In order to help decision-making in
this context where questions of dependability
and security are omnipresent, systems
surveillance tools and quantitative
performance assessment models for
safe running need to be available.
The LM2S researchers are working
along the two following theme axes,
using a decision statistics, diagnostic,
reliability and maintenance approach
Systems Surveillance
Systems Reliability and Maintenance
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For more information, visit the website
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Laboratory
of Industrial Systems Optimization |
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The Team’s objective is to develop
tools to help decision-making in logistics
or production systems management to
optimise performance of those systems
in terms of competitiveness and customer
service, taking into account all social,
statutary, technical, financial constraints
and so on .
Starting with a description of a system
to study, in design or operational
phase and the criterion or criteria
(performance measurement ) to optimise,
we build mathematical models which
are then analysed so as to identify
the sets of promising solutions, according
to parameters and/or input data. Resolution
algorithms are then developed to find
optimal or satisfactory solutions
amongst the promising sets.
The Team carries out research along
two main axes:
Logistic chain and transport modelling
and optimisation
Combinatory optimisation for design
and production systems management
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For more information, visit the website
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Laboratory
of Co-operative Technologies for innovation
and Organizational Changes |
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he ‘Co-operation
Technology for Innovation and Organisational
Changes’ Team is one of the few
French pluri-disciplinary teams with
researchers from different fields, all
indispensable, working on a theme to
deal with problems linked to the study
of distributed cooperative activities
(or in a network) and to the design
of support systems for these activities
(co-operation technologies).
Co-operative activities are at the
heart of most collective action phenomena
in the context of formal organisations
(processes) or of informal social
structures ( communities of practice,
virtual communities…) whether
it be in the ‘productive’
universe or in domains involving associations
or citizenship… What is important
today is the fact that technology
providers should be able to offer
appropriate and varied tools.
The Team’s research is carried
out along three theme axes :
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Communicational, cognitive,
social and management analysis
of co-operative activities and
covered interactions |
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Methods, models and tools for
knowledge management and distributed
co-operative work |
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Documentary infrastructures
for the ‘Socio-semantic Web’
and corpus analysis |
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For more information, visit the website
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Center
for Research and Interdisciplinary Studies
on Sustainable Development |
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The objective of the Team is to contribute
towards the implementation of sustainable
development. This involves identifying
the strategies likely to modify people's
behaviour in a way which favours a
reduction in the major imbalance with
which Humanity is confronted today
(ecological and wealth-sharing imbalance).
In order to do so, all of the Team's
work starts off with a systemic approach,
taking into account the numerous interactions
between the fields of physics/chemistry
and society. Thus research is also
based on a prospective approach as
to desirable futures. Such an approach
needs to mobilise many specialists
and they are to be found within the
Team.
For this reason a multidisciplinary
Team (backgrounds in economics, sociology,
management sciences, industrial automation
engineering, thermic process engineering,
design engineering, chemistry) mobilises
each discipline on each theme of research
work.
These themes are around three axes
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Governances, Risks and Prospectives
Industrial and territorial ecology
Eco-technologies
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For more information, visit the website
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Center
for Research and Interdisciplinary Studies
on Sustainable Development |
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The ERA team has defined its research
objectives from the theme of autonomic
networking. This key theme (a solution
to the complexity of present networks)
is far-reaching as it combines the
field of network architecture, protocols,
management and monitoring and also
the tools which will be the backbone
of future autonomic networks. Team
activities go from low layers to application
layers through protocol stacks.
Within this theme there are three
directions for research:
Auto-piloted network
Autonomic networking tools
Test and simulation environment
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For more information, visit the website
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