How Will My Business Process Unfold? Predicting Case Suffixes With Start and End Timestamps
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Abstract (arXiv)
Predictive process monitoring supports operational decision-making by forecasting future states of ongoing business cases. A key task is case suffix prediction, which estimates the remaining sequence of activities for a case. Most existing approaches only generate activities with a single timestamp (usually the completion time). However, this is insufficient for resource capacity planning, which requires distinguishing between waiting time and processing time to accurately schedule resources and manage workloads. This paper introduces a technique to predict case suffixes that include both start and end timestamps. By predicting distinct waiting and processing intervals, the method provides a more granular view of future resource demands.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 10 of its 35 references that are in the map. First posted on arXiv 18 Sep 2025.
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References · 10
- 2016Predictive Business Process Monitoring with LSTM Neural Networkscited by 104
- 2016Predicting Process Behaviour using Deep Learningcited by 60
- 2020Deep Learning for Predictive Business Process Monitoring: Review and Benchmarkcited by 45
- 2018Survey and cross-benchmark comparison of remaining time prediction methods in business process monitoringcited by 43
- 2018Predictive Process Monitoring Methods: Which One Suits Me Best?cited by 27
- 2022Agent Miner: An Algorithm for Discovering Agent Systems from Event Datacited by 9
- 2024AgentSimulator: An Agent-based Approach for Data-driven Business Process Simulationcited by 8
- 2022Intervening With Confidence: Conformal Prescriptive Monitoring of Business Processescited by 5
- 2022Why am I Waiting? Data-Driven Analysis of Waiting Times in Business Processescited by 1
- 2023Enhancing the Accuracy of Predictors of Activity Sequences of Business Processescited by 1
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