Item Type |
Journal paper
|
Abstract |
The developments of new concepts for an increased digitization of manufacturing industries in the context of
Industry 4.0 have brought about novel system architectures and frameworks for smart production systems. These range from generic frameworks for Industry 4.0 to domain-specific architectures for Industrial Internet of Things (IIoT). While most of the approaches include a service-based architecture for selective integration with enterprise systems, a close two-way integration of the production control systems and IIoT sensors and actuators with Process-Aware Information Systems (PAIS) on the management level for automation and mining of production processes is rarely discussed. This fusion of Business Process Management (BPM) with IIoT can be mutually beneficial for both research areas, but is still in its infancy. We propose a systems architecture for IIoT that shows how to integrate the low-level hardware components–sensors and actuators–of a smart factory with BPM systems. We discuss the software components and their interactions to address challenges of device encapsulation, integration of sensor events, and interaction with existing BPM systems. This integration is demonstrated within several use cases regarding process modeling, automation and mining for a smart factory model, showing benefits of using BPM technologies to analyze, control, and adapt discrete production processes in IIoT. |
Authors |
Seiger, Ronny; Malburg, Lukas; Weber, Barbara & Bergmann, Ralph |
Journal or Publication Title |
Journal of Manufacturing Systems |
Language |
English |
Subjects |
computer science |
HSG Classification |
contribution to scientific community |
Refereed |
Yes |
Date |
May 2022 |
Publisher |
Elsevier |
Volume |
63 |
Page Range |
575-592 |
Number of Pages |
18 |
ISSN |
0278-6125 |
Publisher DOI |
https://doi.org/10.1016/j.jmsy.2022.05.012 |
Official URL |
https://www.sciencedirect.com/science/article/pii/... |
Depositing User |
Prof. Dr. Ronny Seiger
|
Date Deposited |
30 May 2022 08:48 |
Last Modified |
20 Jul 2022 17:48 |
URI: |
https://www.alexandria.unisg.ch/publications/266401 |