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arXiv · 2408.08571

AgentSimulator: An Agent-based Approach for Data-driven Business Process Simulation

Lukas Kirchdorfer·Robert Blümel·Timotheus Kampik·Han van der Aa·Heiner Stuckenschmidt
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Abstract

Business process simulation (BPS) is a versatile technique for estimating process performance across various scenarios. Traditionally, BPS approaches employ a control-flow-first perspective by enriching a process model with simulation parameters. Although such approaches can mimic the behavior of centrally orchestrated processes, such as those supported by workflow systems, current control-flow-first approaches cannot faithfully capture the dynamics of real-world processes that involve distinct resource behavior and decentralized decision-making. Recognizing this issue, this paper introduces AgentSimulator, a resource-first BPS approach that discovers a multi-agent system from an event log, modeling distinct resource behaviors and interaction patterns to simulate the underlying process. Our experiments show that AgentSimulator achieves state-of-the-art simulation accuracy with significantly lower computation times than existing approaches while providing high interpretability and adaptability to different types of process-execution scenarios.

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Lukas Kirchdorfer, Robert Blümel, Timotheus Kampik, Han van der Aa, Heiner Stuckenschmidt. 2024-08-16. AgentSimulator: An Agent-based Approach for Data-driven Business Process Simulation. https://arxiv.org/abs/2408.08571

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