Waiting times in a business process often arise when a case transitions from one activity to another. Accordingly, analyzing the causes of waiting times of activity transitions can help analysts to identify opportunities for reducing the cycle time of a process. This paper proposes a process mining approach to decompose the waiting time observed in each activity transition into multiple direct causes and to analyze the impact of each identified cause on the cycle time efficiency of the process. An empirical evaluation shows that the proposed approach is able to discover different direct causes of waiting times. The applicability of the proposed approach is demonstrated in a real-life process.
CITATION STYLE
Lashkevich, K., Milani, F., Chapela-Campa, D., Suvorau, I., & Dumas, M. (2023). Why Am I Waiting? Data-Driven Analysis of Waiting Times in Business Processes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13901 LNCS, pp. 174–190). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-34560-9_11
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