Product development is a complex multi-field project in which engineers with different specialties work together to achieve the same goal. In fact, with the growth of sustainability challenges, designing a new product with respect to cost, functionality, assembly, safety, reliability, quality, serviceability and environment issues have specific properties that directly affect the way knowledge is carried out. Thus, having an overview of a project or remembering the collaborative work of past projects is difficult for practitioners. Hence, the aim of this paper is first to present a project memory architecture (MemoDFRelevance) in order to structure, index and store all the relevant knowledge needed during the development of a product while considering different factors X (DFRelevance). Second, the paper describes also the development of a Web application (SmartDFRelevance) for the automatic evaluation and capitalization of the knowledge.
