INFORMATION SYSTEMS & DATA

Characterise, formalise and implement the enterprises digital transformation by the evolution of information systems with a lifecycle vision of data, products / services and complex systems.

SIDO

Our expertise

DIGITAL TRANSFORMATION OF ENTERPRISES

Digital Twins approach, IoT, CPS, distributed decision helping

  • Production zero default / "reliable production the first time”, maintenance, product quality
  • Flow modelling to analyse transformation capabilities
  • IoT Integration / exploitation to compensate flow discontinuities
  • Engineering of systems & Cyber-Physical Systems for production
  • Simulation, distributed decision taking
  • Business process maturity and resilience models

INFORMATION SYSTEMS TRANSFORMATION

Mutation, interoperability, reuse of software components , micro-servicisation, semantic enrichment

  • Knowledge extraction and formalisation (Ontologies, Graphs)
  • Modelling, transformation and enrichment of models
  • Agent-based modelling and simulation
  • Data sciences and techniques of Artificial intelligence
  • Detection and qualification of software capabilities
  • Procurement of software components
  • Agile transformation of IS processes

 

SMART AND ECO-RESPONSIBLE PRODUCT / SYSTEM LIFECYCLE MANAGEMENT INA CIRCULAR ECONOMY APPROACH

  • Lifecycle modelling of data and products in a IoT and CPS context
  • Knowledge management and data analysis: semantic Web, artificial intelligence and automatic learning, archiving and reuse, traceability, etc.
  • Product lifecycle analysis, evaluation of product lifecycle sustainability
  • Maturity evaluation and improvement of systems and products

Our software tools

Oracle BPM/SOA, WSO0, ARIS
ERP (SAP ECC, SAP S/4 HANA), MES (PcVue), PLM (ARAS, 3DExpérience), IoT (Thingworx)
Ecoinvent, OpenLCA, GABi
AnyLogic, suite Anaconda3 (Python), Matlab, ElasticSearch

Axis leaders

Profile picture for user sebastien.henry
Associate Professor
Profile picture for user jannik.laval
Associate Professor - HDR

APPROACHES & METHODS

  • Data and business process Modelling, System Engineering, LCA
  • PLM, ontology, MDA-MDE, SOA, interoperability
  • System Re-engineering, micro-servicisation, Software Product Line, feature-model
  • Agent-based approach, Artificial Intelligence (clustering, machine learning), fuzzy logic
  • Knowledge extraction, structuration, reuse