From Process-Agnostic to Process-Aware Automation, Mining, and Prediction

被引：0

作者：

Rinderle-Ma, Stefanie ^{[1
]}

Benzin, Janik-Vasily ^{[1
]}

Mangler, Juergen ^{[1
]}

机构：

[1] Tech Univ Munich, TUM Sch Computat Informat & Technol, Boltzmannstr 3, D-85748 Garching, Germany

来源：

APPLICATION AND THEORY OF PETRI NETS AND CONCURRENCY, PETRI NETS 2023 | 2023年 / 13929卷

关键词：

Process Automation; Process Mining; Predictive Process Monitoring; Predictive Compliance Monitoring;

D O I：

10.1007/978-3-031-33620-1_1

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The entire research area of (business) process management has experienced a tremendous push with the advent of process mining, robotic process automation, and predictive process monitoring. While this development is highly appreciated, the current process-agnostic pipelines for process mining, robotic process automation, and predictive process monitoring have several limitations. Taking a system perspective, this keynote elaborates the limitations of process-agnostic automation. Then, it shows how a shift towards process-aware automation and predictive compliance monitoring can be achieved and how process-aware pipelines contribute to overcome the limitations of process-agnostic automation. Finally, research implications with a focus on Petri nets are derived.

引用

页码：3 / 15

页数：13

共 37 条

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