DESIGN ENGINEERING RESEARCH GROUP
Research areas and results
Our research aims at scaffolding complex system design and engineering, combining the product/service, process and organizational dimensions. These complex systems are the focus of our work in diagnosis, modeling, analy-sis, simulation and optimization.
Our expertise extends across 3 axes:
1. Design of complex systems: aims at developing methods and tools supporting decision-making with regard to design of products/services/systems, organizations, projects, and systems of systems. In 2018, several research projects were undertaken on using relational theory and complex systems modeling (matrix- and graph-based models) for modeling interdependencies between elements (like system architectures and business models, or project deliverables network and human organization) and organizing design options around these interdependencies.
KEY FIGURES in 2018
- 26 Members
- 1 Research Chairs
- 3 PhDs Completed
- 7 Journals
- 19 Conference papers
- 5 Book sections
2. Design of sustainable systems: systems aim at developing methods and tools to model, measure and optimize sustainable performances of complex systems. In 2018, main results deal with the development and implementation of eco-ideation mechanisms to systematically explore a sustainable design space. The development of circularity indicators applied to the heavy vehicles industry are also a major achievement in 2018. New research works have also been initiated on eco-design of digital services and the generation of sustainable architectures of complex industrial systems.
3. Innovation engineering consists in bridging the gap between business strategy, R&D planning, product roadmaps, conceptual design and innovation processes. In addition, we are developing and enhancing a structured need-seeker innovation methodology, named Radical Innovation Design®, for pulling disruptive innovations from the observation of painful usage situations. The results in 2018 are the creation of the HyB’RID startup to disseminate the method, associated with several research projects on modeling user-centered information.
We aim at integrating our design science-based approaches at a higher system level, integrating also the digitalization of such systems and associated organizations. More precisely, for axis 1, the research project deals with systems of systems design, deeper modeling of interdependencies between system and project components, synchronization or sequencing of multiple interrelated decisions, and integration of innovative management modes (notably considering the co-existence with traditional management modes). Axis 2 aims at developing and promoting circular economy and evolving from an evaluation to a management mode, including selecting actions and prioritizing investments. This will be based on improvement of multi-criteria, multi-scale and multi-actor simulation and optimization models. About innovation engineering axis (axis 3), the project is twofold: characterizing the potential of a technology and digitalizing innovation. Characterizing the potential of a technology will enable push innovative technologies on markets, but also to propose maturity roadmaps, with potential markets associated to every level of technological maturity. Digitalizing innovation aims at making design and innovation activities more efficient, attractive and fluid
Academic Collaborations (in 2018)
- Gaëlle Petit (AgroParisTech)
- Caroline Sablayrolles (ENSIACET)
- Michael Kokkolaras (McGill University, Canada)
- Harrison Kim, University of Illinois at Urbana-Champaign (USA)
- Alissa Kendall, UC Davis (USA)
- Guillaume Lamé, Cambridge University (UK)
Industrial and institutional collaborations (in 2018)
TOTAL, CEA-DAM, Orange, DGA, Groupe PSA, Vinci Construction, RTE (projet PRC EcoSD AVEC), iWips, Manitou, Mairie de Paris, IRT SystemX.
Michael Kokkolaras (McGill University, Canada)