Planning and Scheduling Business Processes under Control-Flow Uncertainty: Extended Version
Scheduling activities in business processes can improve efficiency (e.g., reduce makespan), but is challenging because the exact sequence of activities required to complete a case is often uncertain due to decisions based on data that emerges during execution. Nevertheless, probabilistic information regarding such decisions can often be estimated or derived from historical execution logs, and can help anticipate which execution paths are likely to lead to successful completion. Planning with particular execution paths affects feasibility, i.e., the probability of successful completion, and the expected number of superfluous activities that are planned but never executed. We frame the prob...
| Authors | Michel Kunkler, Stefanie Rinderle-Ma |
|---|---|
| Primary category | cs.AI |
| Published | 4 September 2026 |
| Last updated at source | 10 September 2026 |
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