Overview
- Revised PhD dissertation
- Received the CAiSE PhD award for an outstanding thesis in the field of Information Systems Engineering
- Proposes a novel technique which allows to monitor multi-party processes, involving non-automated activities
Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 368)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book proposes a novel technique, named artifact-driven process monitoring, by which multi-party processes, involving non-automated activities, can be continuously and autonomously monitored. This technique exploits the Internet of Things (IoT) paradigm to make the physical objects, participating in a process, smart. Being equipped with sensors, a computing device, and a communication interface, such smart objects can then become self-aware of their own conditions and of the process they participate in, and exchange this information with the other smart objects and the involved organizations. To allow organizations to reuse preexisting process models, a method to instruct smart objects given Business Process Model and Notation (BPMN) collaboration diagrams is also presented.
The work constitutes a revised version of the PhD dissertation written by the author at the PhD School of Information Engineering of Politecnico di Milano, Italy. In 2019, the PhD dissertation won the “CAiSE PhD award”, granted to outstanding PhD theses in the field of Information Systems Engineering.
Authors and Affiliations
Bibliographic Information
Book Title: Artifact-Driven Business Process Monitoring
Book Subtitle: A Novel Approach to Transparently Monitor Business Processes, Supported by Methods, Tools, and Real-World Applications
Authors: Giovanni Meroni
Series Title: Lecture Notes in Business Information Processing
DOI: https://doi.org/10.1007/978-3-030-32412-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-32411-7Published: 24 October 2019
eBook ISBN: 978-3-030-32412-4Published: 23 October 2019
Series ISSN: 1865-1348
Series E-ISSN: 1865-1356
Edition Number: 1
Number of Pages: XIII, 161
Number of Illustrations: 1 b/w illustrations
Topics: Information Systems Applications (incl. Internet), Business Process Management, Cyber-physical systems, IoT