Benchmarking functionalities in current commercial process mining tools allow
organizations to contextualize their process performance through high-level
performance indicators, such as completion rate or throughput time. Jedoch,
they do not suggest any measures to close potential performance gaps. To
address this limitation, we propose a prescriptive technique for process
execution benchmarking that recommends targeted process changes to improve
process performance. The technique compares an event log from an “own”
process to one from a selected benchmark process to identify potential activity
replacements, based on behavioral similarity. It then evaluates each proposed
change in terms of its feasibility and its estimated performance impact. The
result is a list of potential process modifications that can serve as
evidence-based decision support for process improvement initiatives.
Dieser Artikel untersucht Zeitreisen und deren Auswirkungen.
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2504.16215v1