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·2025
Exploring the Adequacy and Performance Verification of AI-based Automation Tasks Using Process Mining
Young‐Sik Kang, Jin-Woo Jung, H. Lee
Journal of the Korea Management Engineers Society
초록

Purpose This study aims to find tasks that can implement AI-based automation in operational process discovered using process mining. Additionally, it seeks to verify the performance of actually implemented AI-based automation using process mining.Methods A process mining analysis was performed using actual data stored in the ERP system of a cosmetics manufacturing company. In particular, a comparative analysis using data before and after automation implementation was conducted to verify the performance of AI-based automation.Results AI-based automation tasks were successfully discovered through process mining analysis. Furthermore, the performance of the automation was successfully verified.Conclusion The results of this study suggest that companies seeking to pursue AI-based automation along with RPA also need to utilize process mining. In particular, using process mining, it was possible to understand the performance of AI-based automation from a process perspective.

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AutomationComputer scienceProcess (computing)Process miningData miningSoftware engineeringArtificial intelligenceMachine learningEngineeringWork in process
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2025