Data-Driven Process Control and Exception Handling in Process Management Systems

Rinderle, Stefanie and Reichert, Manfred (2006) Data-Driven Process Control and Exception Handling in Process Management Systems. In: Proc. 18th Int'l Conf. on Advanced Information Systems Engineering (CAiSE'06), Luxembourg, Luxembourg.

[thumbnail of RiRe06.pdf]
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (345kB)


Business processes are often characterized by high variability and dynamics, which cannot be always captured in contemporary process management systems (PMS). Adaptive PMS have emerged in recent years, but do not completely solve this problem. In particular, users are not adequately supported in dealing with real-world exceptions. Exception handling usually requires manual interactions and necessary process adaptations have to be defined at the control flow level. Altogether, only experienced users are able to cope with these tasks. As an alternative, changes on process data (elements) can be more easily accomplished, and a more data-driven view on (adaptive) PMS can help to bridge the gap between real-world processes and computerized ones. In this paper we present an approach for data-driven process control allowing for the automated expansion and adaptation of task nets during runtime. By integrating and exploiting context information this approach further enables automated exception handling at a high level and in a user-friendly way. Altogether, the presented work provides an
added value to current adaptive PMS.

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 > DBIS Research and Teaching > DBIS Research > Publications
Depositing User: Eva Mader
Date Deposited: 04 Apr 2008 11:53
Last Modified: 14 Oct 2011 10:23

Actions (login required)

View Item
View Item