Background
Research works on Additive Manufacturing generate dynamic knowledge especially in three domains: materials, design and production
Formalization of this knowledge is a strategic issue
Explicit knowledge, implicit knowledge has to be captured and tracked
Which strategy for taking into account tacit knowledge?
Formalization of this knowledge is a strategic issue
Explicit knowledge, implicit knowledge has to be captured and tracked
Which strategy for taking into account tacit knowledge?
PhD candidate: Christelle GRANDVALLET
Université Grenoble-Alpes, 2014-2017
PhD supervisors: François VILLENEUVE, Guy PRUDHOMME, Franck POURROY, Frédéric VIGNAT
Partnership:
Research process
Analysis of tools and methods for elicitation and knowledge formalization supports.
Identification, clarification and structuration of crucial knowledge for Additive Manufacturing for re-use purpose.
Identification, clarification and structuration of crucial knowledge for Additive Manufacturing for re-use purpose.
Expected results
Proposition of a method for knowledge collection and of models to structure knowledge tailored to the context of knowledge management for Additive Manufacturing.
Last update 2015.02.20