Root cause analysis approach of business process time anomaly based on causal inference

被引：0

作者：

Guo, Na ^{[1
]}

Liu, Cong ^{[2
,3
]}

Li, Caihong ^{[2
]}

Ouyang, Chun ^{[4
]}

Ni, Weijian ^{[3
]}

Zeng, Qingtian ^{[3
]}

机构：

[1] School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo

[2] School of Computer Science and Technology, Shandong University of Technology, Zibo

[3] College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao

[4] School of Information Systems, Queensland University of Technology, Brisbane, 4000, QLD

来源：

Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2025年 / 31卷 / 05期

基金：

中国国家自然科学基金;

关键词：

business process; causal inference; meta-learning; root cause; time anomaly;

D O I：

10.13196/j.cims.2024.BPM05

中图分类号：

学科分类号：

摘要：

The execution time of a business process is usually a key assessment indicator. Cases and activities that are not within the specified execution time can be regarded as abnormal process time, which may cause risks such as overtime and customer complaints. Therefore, the root cause analysis of abnormal process time can put forward targeted rectification plans and intervention measures. However, there are many potential causes of time anomaly, which are difficult to extract comprehensively. Moreover, comprehensive analysis seriously affects the execution efficiency and the accuracy of the results. To solve the above problems, to explore the root causes of abnormal business process time, a framework for tracing the root causes of abnormal business process time based on causal inference was proposed. The time information and workload of the event log were expanded to provide rich candidate reasons. The causal hypothesis of abnormal execution time of cases and activities was generated, and the corresponding potential reasons were determined. Then, the causal inference approach based on meta-learning was applied to estimate the causal effect and determine the causal relationship. When the root cause of the abnormal case execution time included an activity execution time, the cause of the abnormal activity execution time was traced back. Finally, it compared with the state of the art approach on five real event logs, and the root cause results were visualized. The experimental results showed that the proposed approach could effectively improve the root cause analysis efficiency of abnormal process time and get more reasonable reasons. © 2025 CIMS. All rights reserved.

引用

页码：1779 / 1791

页数：12

共 31 条

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