Business Process Simulation

Business process simulation (BPS) uses computational models to predict the performance of business processes under various conditions, aiding in process improvement and decision-making. Recent research emphasizes enhancing model accuracy by incorporating data-driven insights, particularly focusing on agent-based approaches that capture decentralized decision-making and resource behavior, and methods to automatically discover models from event logs. A key focus is improving model quality through the development of metrics to assess simulation accuracy and the inclusion of factors like extraneous delays, leading to more realistic and reliable predictions. This improved accuracy has significant implications for optimizing business processes and informing strategic decisions across various industries.