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Business Process Lifecycle Enhancement via Digital Twin and Model-Driven Engineering
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0009-0003-9815-3442
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0000-0002-2736-845X
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0000-0001-6981-0966
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0000-0003-2672-5010
2025 (English)In: 2025 IEEE 22nd International Conference on Software Architecture Companion (ICSA-C), IEEE, 2025, p. 300-309Conference paper, Published paper (Refereed)
Abstract [en]

Business process management deals with the administration of the chains of events, activities, and decisions that add value to an organization. The ever-growing complexity and inner uncertainty of business-related operations call for a paradigm shift toward new technologies, such as digital twins, to coordinate and optimize the processes belonging to an organization. In this paper, we propose an extended version ofthe business process lifecycle that includes a Digital Twin of the Organization, in charge of consistently ensuring the process’s alignment with the required performance goals and facilitating recovery from failures. We also contribute to defining the model-driven components that transform the business process model, in BPMN notation, into a compatible process representation for the digital twin, enabling simulation capabilities and scenario analyses. Through a manufacturing use case, we demonstrate how the digital twin optimizes processes pre-implementation and facilitates rapid recovery and reconfiguration following critica lfailures, underscoring its potential to improve efficiency and reliability in process management.

Place, publisher, year, edition, pages
IEEE, 2025. p. 300-309
National Category
Computer Sciences
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-140238DOI: 10.1109/ICSA-C65153.2025.00050Scopus ID: 2-s2.0-105007944721OAI: oai:DiVA.org:lnu-140238DiVA, id: diva2:1977921
Conference
FAACS '25: The 9th International Workshop on Formal Approaches for Advanced Computing Systems
Available from: 2025-06-26 Created: 2025-06-26 Last updated: 2025-06-30Bibliographically approved

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Giussani, SamuelePerez-Palacin, DiegoCaporuscio, MauroEdrisi, Farid

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CiteExportLink to record
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  • apa
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