Industry 4.0 suggests a reactive and flexible management of production lines as well as the advent of new decision support tools based on the use of data collected in real time. However, there is still a need for implementation and integration into traditional production management approaches in the broad sense. Our project seeks to answer these questions for the improvement of the articulation of tactical and operational decisions, based on new concepts of predictive and prescriptive maintenance. This will lead to new integrated approaches to planning, scheduling and maintenance, taking into account different levels of uncertainty, accompanied by new performance-oriented indicators for the robustness of production plans. In addition, this project will serve to define a set of specifications related to the data to be collected as well as associated management rules which will then form the "skeleton" of a digital shadow developed throughout the project and motivated by an industrial application in the medical device sector.