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International audience; The key of successful industry is to satisfy the customer requirements at the perfect delay with improved quality and cheaper price. In this context, Digital Factory is known to test and validate the couple product-production system during the product development process, with the usage of production system simulations. Therefore, we can use an information system to integrate and manage all information related to product, process and simulation in this context. But with this huge amount of information, an actor of product development process may be confused about making a good decision at this particular stage. Thus, there is a lack of knowledge capitalization and sharing between product development process actors. On the basis of previous research works that contribute to the definition of a Digital Factory information system, we propose a new module, named KSim, dedicated to the capitalization and management of knowledge and experiences coming from previous projects in the Digital Factory context.

International audience; In a world characterized by increasing competitiveness, delivering a good product as soon as possible and increasing complexity of the product, the old method did not satisfy the needs of companies. In this context the Digital Factory (DF) is a solution that has emerged to design and simulate production systems throughout the product design process. In this case, different knowledge from different actors in different departments, are integrating in the Knowledge management system (KMS) named "KSim" and presented in the knowledge pages. With this variety of knowledge entities the actors spent a lot of time in the research of the relevant knowledge and the relationships between all knowledge entities to modify the files related to an error. We propose, in this paper, a module related to the KMS "KSim" able to represent all the knowledge entities used and obtained during the development of digital factory project in the conceptual map named "knowledge map".

In recent decades, the New Product Development Process (PDP) has become an increasingly complex and iterative process due to the diversification and customization of products and their complexity. Moreover, the design of the associated production systems becomes a very complex task, knowing that this phase is linked to the decision-making of the production strategy which have an impact on long-term and which involve an important commitment of financial resources. Thus, companies must overcome these challenges for design, develop and produce faster and cheaper products with better quality. In this context, the Digital Factory (DF) is a solutionbased on the use of numerical methods and tools to examine, qualify and compare the complex production systems and thus, help to make the optimal decisions. However, the experts of simulation still encounter difficulties in the decision-making due to the lack of organization, information and knowledge. In this research, we focus on this last point and we propose a knowledge management system called "KSim" dedicated to the management of all knowledge for the development of DF projects and which supports the collaboration and communication between all PDP actors to facilitate to make better decisions as soon as possible., Au cours des dernières décennies, le Processus de Développement de nouveaux Produits (PDP) est devenu un processus de plus en plus complexe et itératif, dû à la diversification et la personnalisation des produits et leur complexification. De plus la conception des systèmes de production associés devient une tâche très complexe, sachant que cette phase est liée aux prises de décisions de la stratégie de production qui ont un impact à long terme et qui impliquent un engagement important de ressources financières. Ainsi, les entreprises doivent surmonter ces défis pour concevoir, développer et produire des produits plus rapides et moins chers avec une meilleure qualité. Dans ce contexte, l’Usine Numérique (UN) est une solution basée sur l’emploi de méthodeset outils numériques pour examiner, qualifier et comparer les systèmes de production complexes et ainsi aider la prise de décisions optimales. Cependant, les experts de simulation rencontrent toujours des difficultés lors de prises de décision, dû au manque d’organisation, informations et connaissances. Dans ce travail de recherche, nous nous concentrons sur ce dernier point et proposons un système de gestion des connaissances nommé « KSim » dédié à la gestion de toutes les connaissances pour le développement des projets d’UN et qui supporte la collaboration et la communication entre tous les acteurs de PDP pour faciliter la prise de bonnes décisions dans un temps restreint.