Authors:
Hajer Ben Haj Ayech
1
;
2
;
Ricardo Martinho
3
and
Sonia Ayachi Ghannouchi
4
;
1
Affiliations:
1
RIADI Laboratory, University of Manouba, Tunisia
;
2
Higher Institute of Computer Science and Communication Technologies of Sousse, University of Sousse, Tunisia
;
3
INESCC – DL, ESTG, Polytechnic University of Leiria, Portugal
;
4
Higher Institute of Management of Sousse, University of Sousse, Tunisia
Keyword(s):
Business Process Stability, Process Mining, Metrics, Evaluation, Prediction, Approach.
Abstract:
Achieving business process (BP) stability is a fundamental objective for organizations, pursued for a variety of reasons including consistency in operations and product/service delivery, reduced costs and rework, and clear metrics for process improvement. Nevertheless, the subject has received little attention in research, from vague definitions to mingled concepts involving BP flexibility and changes. This paper addresses the stability of BP in the context of Business Process Management (BPM). Specifically, it proposes a clearer definition of BP stability, as well as a step-by-step Stability for Business Processes approach (S4BP) based on Process Mining techniques to evaluate and predict stability for a certain BP. The proposed approach is demonstrated through a software implementation in the form of a ProM plugin, and validated using a case study with public datasets from the Business Process Improvement (BPI) Challenge.