van Gansewinkel, S., Denisov, V., & Fahland, D. (2026). An Object-Centric Approach to Inferring and Analyzing Queues. In I. van de Weerd, B. Estrada Torres, & H. van der Aa (Eds.), Business Process Management Workshops: BPM 2025 International Workshops, Seville, Spain, August 31–September 5, 2025, Revised Selected Papers (pp. 479-491). (Lecture Notes in Business Information Processing (LNBIP); Vol. 569). Springer. https://doi.org/10.1007/978-3-032-13426-4_35
Abstract
Processes rely on queues to hold and prioritize cases and objects being passed between workers and teams. Consequently, analyzing queue behavior provides insights into process performance. As queue behavior is not explicitly recorded in event logs, missing information has to be restored. Existing queue mining techniques leverage queue models to restore abstractions of a queue. In this paper, we show that by treating queues and workers as objects, we can use an object-centric approach to infer missing queue information and to analyze queue behavior and performance. Evaluation on an industrial incident management process demonstrates the feasibility of the approach.