Internet of Things Meets Business Process Management - A Synergistic Integration

This book questions the extent to which the Internet of Things (IoT) and business process management (BPM) paradigms can be combined. The authors discuss emerging challenges and intersections from a research and practitioner's perspective in terms of complex software systems development and process mining methods. The authors demonstrate that while the IoT and BPM have been regarded as separate topics in research and in practice, they strongly believe that, on the one hand, the management of IoT applications will greatly benefit from BPM concepts, methods, and technologies. And on the other hand, the IoT poses challenges that will require enhancements and extensions of the current state of the art in the BPM field. Topics explored include behavior-centered design of IoT systems, event-log granularity for IoT process mining, process mining on sensor location event data, and process mining and robotics, among others. The book pertains to researchers, academics, and professionals working in the intersection of IoT and BPM.

Inhaltsverzeichnis

Introduction.- From Internet of Things Data to Business Processes: Challenges and a Framework.- Behaviour-Centred Design of IoT Systems.- Enhancing Decision-Making.- Event-Log Granularity for IOT Process Mining.- Human-Centric Processes: Where IoT and People Meet.- Process Mining on Sensor Location Event Data.- Process Mining meets Robot.- The Internet of Production.- A Digital Twin Framework for Enhanced Manufacturing Capacity Using IoT Sensor Data.- Data representation and data quality for IoT-enhanced Business Processes.- Conclusion.

Produktdetails

• Mitarbeit: Giancarlo Fortino (Herausgeber), Mecella (Herausgeber), Massimo Mecella (Herausgeber)
• Verlag: Springer, Berlin
• Sprache: Englisch
• Produktform: Fester Einband
• Erscheint: 17.11.2025
• EAN: 9783031907456
• ISBN: 978-3-0-3190745-6
• Seiten: 312
• Illustration: XIV, 312 p. 96 illus., 61 illus. in color.
• Serie: Internet of Things
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Technik > Elektronik, Elektrotechnik, Nachrichtentechnik; Wirtschaftsmathematik und -informatik, IT-Management, Internet of things, Computernetzwerke und maschinelle Kommunikation, process control, Communications Engineering, Networks, Business Information Systems, Process Mining, Analytical models, IoT and Business Processes, Adaptation models