How low-code platforms support digital twins of processes How low-code platforms support digital twins of processes

Digital Twin of Processes, also defined as process digital twins (PDTs), are emerging as a feasible solution for modeling, monitoring, and optimizing business processes by providing real-time, data-driven insights into operational workflows. However, designing, developing, and maintaining PDTs can b...

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Veröffentlicht in:Software and systems modeling Jg. 24; H. 5; S. 1317 - 1333
Hauptverfasser: Fedeli, Arianna, Di Salle, Amleto, Micucci, Daniela, Rebelo, Luciana, Rossi, Maria Teresa, Mariani, Leonardo, Iovino, Ludovico
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2025
Springer Nature B.V
Schlagworte:
Automation
Business process management
Case studies
Compilers
Computer Science
Digital twins
Enterprise resource planning
Expert Voice
Information Systems Applications (incl.Internet)
Interpreters
IT in Business
Modelling
Programming Languages
Programming Techniques
Real time
Software
Software development
Software Engineering
Software Engineering/Programming and Operating Systems
Workflow management system
Process digital twin
Low-code development platform
Workflow modeling
ISSN:1619-1366, 1619-1374
Online-Zugang:Volltext
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Zusammenfassung:Digital Twin of Processes, also defined as process digital twins (PDTs), are emerging as a feasible solution for modeling, monitoring, and optimizing business processes by providing real-time, data-driven insights into operational workflows. However, designing, developing, and maintaining PDTs can be complex and resource-intensive, often requiring highly specialized expertise in software engineering and domain-specific processes. This paper proposes insights and guidelines into using low-code development platforms (LCDPs) to simplify and expedite the modeling and deployment of PDTs, leveraging intuitive, visual development environments and pre-built components. We identified 11 core characteristics that define PDTs and assessed the potential of LCDPs to support their design, development, and execution. The applicability of this framework is demonstrated through three case studies of littering management, order management, and guest invitations, where we evaluate how well LCDPs address the key requirements of PDT implementation. Our results indicate that while LCDPs offer significant advantages in terms of ease of adoption and cost efficiency, several challenges remain, particularly around scalability and process performance. At the same time, we propose lessons learned from these experiences that could help address these challenges in future implementations.
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ISSN:1619-1366
1619-1374
DOI:10.1007/s10270-025-01310-4