Action-oriented process mining: bridging the gap between insights and actions

被引:12
|
作者
Park, Gyunam [1 ]
van der Aalst, Wil M. P. [1 ]
机构
[1] Rhein Westfal TH Aachen, Dept Comp Sci, Proc & Data Sci Grp PADS, Aachen, Germany
关键词
Action-oriented process mining; Continuous operational management; Turning events into actions; Continuous process improvement; PREDICTION; FRAMEWORK; DRIVEN;
D O I
10.1007/s13748-022-00281-7
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
As business environments become more dynamic and complex, it becomes indispensable for organizations to objectively analyze business processes, monitor the existing and potential operational frictions, and take proactive actions to mitigate risks and improve performances. Process mining provides techniques to extract insightful knowledge of business processes from event data collected during the execution of the processes. Besides, various approaches have been suggested to support the real-time (predictive) monitoring of the process-related problems. However, the link between the insights from the continuous monitoring and the concrete management actions for the actual process improvement is missing. Action-oriented process mining aims at connecting the knowledge extracted from event data to actions. In this work, we propose a general framework for action-oriented process mining covering the continuous monitoring of operational processes and the automated execution of management actions. Based on the framework, we suggest a cube-based action engine where actions are generated by analyzing monitoring results in a multi-dimensional way. The framework is implemented as a ProM plug-in and evaluated by conducting experiments on both artificial and real-life information systems.
引用
收藏
页数:22
相关论文
共 5 条
  • [1] A General Framework for Action-Oriented Process Mining
    Park, Gyunam
    van der Aalst, Wil M. P.
    BUSINESS PROCESS MANAGEMENT WORKSHOPS, BPM 2020 INTERNATIONAL WORKSHOPS, 2020, 397 : 206 - 218
  • [2] Realizing A Digital Twin of An Organization Using Action-oriented Process Mining
    Park, Gyunam
    van der Aalst, Wil M. P.
    2021 3RD INTERNATIONAL CONFERENCE ON PROCESS MINING (ICPM 2021), 2021, : 104 - 111
  • [3] Bridging the gap between soil spectroscopy and traditional laboratory: Insights for routine implementation
    Poppiel, Raul Roberto
    Paiva, Ariane Francine da Silveira
    Dematte, Jose Alexandre Melo
    GEODERMA, 2022, 425
  • [4] Exploring explainable AI in pharmaceutical decision-making : Bridging the gap between black box models and clinical insights
    Ghorpade, V. S.
    Jadhav, Pradnya A.
    Jadhav, R. S.
    Gujar, Satish N.
    Ashok, Wankhede Vishal
    Pandit, Shraddha V.
    JOURNAL OF STATISTICS AND MANAGEMENT SYSTEMS, 2024, 27 (02) : 225 - 236
  • [5] Bridging the gap between supply chain risk management and strategic technology partnering capabilities: insights from social capital theory
    Kilubi, Irene
    Rogers, Helen
    SUPPLY CHAIN MANAGEMENT-AN INTERNATIONAL JOURNAL, 2018, 23 (04) : 278 - 292