-Today, companies involved in product development in the ''Industry 4.0'' era, need to manage all the necessary information required in the product entire lifecycle, in order to optimize as much as possible the product-process integration. In this paper, a Product Lifecycle Management (PLM) approach is proposed, in order to facilitate product-process information exchange, by considering design constraints and rules coming from DFMA (Design For Manufacturing and Assembly) guidelines. Indeed, anticipating these manufacturing and assembly constraints in product design process, reduces both costs and Time To Market (TTM), and avoids to repeat mistakes. The paper details the application of multi-objective optimization algorithms after considering DFMA constraints in a PLM approach. A case study using an original mechatronic system concept is presented, and improved by considering product-process integrated design, optimization and simulation loops, using numerical optimization and FEM (Finite Element Method) methods and tools.

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Nowadays the knowledge reuse in product design is part of the main challenging issues in product lifecycle management, especially in the earlier stages. Indeed, over the last decade concurrent engineering principles have introduced numerous constraints to be well balanced and considered in product design regarding the whole product lifecycle. Designers need to be aware of their decisions and require assistance in their routine activities. As such, the authors propose to tackle this issue by introducing the concept of generating predictions (future) so as to activate knowledge (past) in the design process (present). Thus the fact of associating knowledge and prediction to ensure the appropriate knowledge reuse in product design by designers will require the capture of specific design context. A mechanical assembly as a case study is presented to illustrate the approach.