IS3P - Systems Engineering: Product, Process, Performance
Team topics
System performance
Keywords : sustainable aspects (inducer/indicator causalities), customer expectations (differentiation/standardization, perceived value and choice support)
Goals :
- Model current behaviours
- Identify performance drivers
- Identify levers for improvement
- Measuring performance
- Managing performance
- Determine behavioural alternatives
- Choose the ones to be implemented
Scientific issues
- Integrate customer satisfaction (diversity of product/service offer
- Integrate sustainable aspects
- Leading innovation
Disciplinary / thematic fields involved :
- Management of production systems
- Multi-criteria optimization in stochastic and uncertain environments
Information models and systems
Keywords : extension to the product-service concept, diversity and evolution management (dynamic aspects of co-evolution)
Goals :
- Analyze the impact of new "offer: Product - Service" oriented business strategies on current organizational models.
- Propose evolutions of process, product and service models to integrate effective life cycle management and diversity management of product-services systems (SPS).
- Specify new functionalities and characteristics of information systems (PLM,...) dedicated to supporting new collaborative SPS development processes
Scientific issues
- Formalize innovative concepts ensuring the flexibility and generality of models
- Develop new modelling approaches focused on value creation processes and based on existing standards (such as system engineering),
- Consider requirements and interactions with the client in the SPS life cycle
Disciplinary / thematic fields involved :
- Strategies for frugal innovation of Product-Service systems
- Organizational models and domain ontologies
- Inter-company collaboration models
- SPS Life Cycle Management (PLM) Approaches and Tools
- Collaborative information systems,...
Knowledge engineering
Keywords : knowledge extraction and formalization (complex sets, heritage objects, technical expertise), interaction/use/decision making
Goals :
- Knowledge extraction and formalization (complex sets, heritage objects, technical expertise), interaction/use/decision making
- Define structured models and methods for a better integration of knowledge (representation/formalization/evolution) in companies
- Implementation of digital industrial management in the extended enterprise
Scientific issues
- How to formalize the real world? Which models to use ?
- Transformation of models? Adequacy for metamodels ?
- Trend extraction? Data mining ?
Disciplinary / thematic fields involved :
- Formalization of business knowledge on the product life cycle
- Proposal of models, methods and tools for decision support
- Spatio-temporal and semantic modeling
- Interoperability of models and solutions
- Implementation of models in industrial tools managing human-machine relations
