Robust Performance Analysis on YAWL Process Models with Advanced Constructs

Authors

Arya Adriansyah, Eindhoven University of TechnologyFollow
Boudewijn F. van Dongen, Eindhoven University of TechnologyFollow
David Piessens, Eindhoven University of TechnologyFollow
Moe T. Wynn Dr, Queensland University of TechnologyFollow
Michael Adams, Queensland University of TechnologyFollow

Abstract

The importance of actively managing and analyzing business processes is acknowledged more than ever in organizations nowadays. Business processes form an essential part of an organization and their application areas are manifold. Most organizations keep records of various activities that have been carried out for auditing purposes, but they are rarely used for analysis purposes. This paper describes the design and implementation of a process analysis tool that replays, analyzes and visualizes a variety of performance metrics using a process definition and its execution logs. Performing performance analysis on existing and planned process models offers a great way for organizations to detect bottlenecks within their processes and allow them to make more effective process improvement decisions. Our technique is applied to processes modeled in the YAWL language. Execution logs of process instances are compared against the corresponding YAWL process model and replayed in a robust manner, taking into account any noise in the logs. Finally, performance characteristics, obtained from replaying the log in the model, are projected onto the model.

Recommended Citation

Adriansyah, Arya; van Dongen, Boudewijn F.; Piessens, David; Wynn, Moe T. Dr; and Adams, Michael (2012) "Robust Performance Analysis on YAWL Process Models with Advanced Constructs," Journal of Information Technology Theory and Application (JITTA): Vol. 12: Iss. 3, Article 2.
Available at: https://aisel.aisnet.org/jitta/vol12/iss3/2