Data-driven Modeling and Coordination of Large Process Structures

Müller, Dominic and Reichert, Manfred and Herbst, Joachim (2007) Data-driven Modeling and Coordination of Large Process Structures. In: 15th Int'l Conf. on Cooperative Information Systems (CoopIS'07), Vilamoura, Portugal.

[thumbnail of Mueller07-CoopIS.pdf]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (699kB)

Abstract

In the engineering domain, the development of complex products (e.g., cars) necessitates the coordination of thousands of (sub-)processes. One of the biggest challenges for process management systems is to support the modeling, monitoring and maintenance of the many interdependencies between these sub-processes. The resulting process structures 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 information about the product and its structure for deriving, coordinating and maintaining such data-driven process structures. In this paper, we introduce 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.

Item Type: Conference or Workshop Item (Paper)
Subjects: DBIS Research > Publications
Divisions: Faculty of Engineering, Electronics and Computer Science > Institute of Databases and Informations Systems
Depositing User: Dominic Müller
Date Deposited: 09 Apr 2008 15:49
Last Modified: 14 Oct 2011 10:23
URI: http://dbis.eprints.uni-ulm.de/id/eprint/116

Actions (login required)

View Item
View Item