This paper presents a P^4LM methodology which allows the management of Projects, Products, Processes, and Proceeds on a Digital Mock-Up (DMU). The aim of our methodology is to allow a high semantic knowledge definition of different partners which are involved in a PLM application. The methodology has a special architecture for the functional refinement which links high semantic representation to geometric representation. To integrate the different know-how of a collaborative project, the parameter management is done by graphonumerical parameters (GNP) which dynamically connect trade knowledge to PLM applications.