Automated process planning has been recognized as an interface between computer-aided design and computer-aided manufacturing. Over the passed three decades, more than 200 Computer-Aided Process Planning systems have been developed. However, none of them is truly generative. To make a process planning system truly generative, the problem of integration and intelligence must be solved. In this paper, we introduce a framework of an integrated and intelligent process planning model which currently been developed in the Department of Industrial Engineering, Texas Tech University. Four key issues (standard data exchange, automated tolerance analysis, integration of process planning and scheduling, and knowledge processing) concerning the development of the model are discussed.