Data-driven Modeling and Coordination of Large Process Structures

Abstract. In the engineering domain, the development of complex prod-ucts (e.g., cars) necessitates the coordination of thousands of (sub-)pro-cesses. One of the biggest challenges for process management systems is to support the modeling, monitoring and maintenance of the many inter-dependencies between these sub-processes. The resulting process struc-tures are large and can be characterized by a strong relationship with the assembly of the product; i.e., the sub-processes to be coordinated can be related to the different product components. So far, sub-process coordination has been mainly accomplished manually, resulting in high efforts and inconsistencies. IT support is required to utilize the informa-tion about the product and its structure for deriving, coordinating and maintaining such data-driven process structures. In this paper, we intro-duce the COREPRO framework for the data-driven modeling of large process structures. The approach reduces modeling efforts significantly and provides mechanisms for maintaining data-driven process structures.