Using MBSE With SysML to Analyze Change Impacts, Including Efforts, in Technical Systems

Ellsel, Claudius; Senkal, Gokhan; Stark, Rainer

doi:10.1109/isse54508.2022.10005450

Cited by 1 publication

(1 citation statement)

References 22 publications

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“…This framework involves storing different versions of class diagrams in a centralized repository, detecting and recording conflicts among them, and making the changes accessible to all developers. In the field of systems engineering, Ellsel et al proposed an approach that allows the modeling of dependencies and modifications of system elements using SysML [10]. This approach enables the analysis of change impact considering change propagation.…”

Section: A Related Work In Change Management In Model-based Engineeringmentioning

confidence: 99%

Ontology Versioning for Managing Inconsistencies in Engineering Models Arising From Model Changes in the Design of Intralogistics Systems

Ji,

Vogel-Heuser,

Schypula

et al. 2024

IEEE Trans. Automat. Sci. Eng.

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The interdisciplinary design of intralogistics systems (ILS) involves engineers from various disciplines, resulting in the generation of discipline-specific model files with overlapping information. For instance, a conveyor system can be represented from various perspectives, such as 3D-CAD models that capture its geometric information and discrete-event simulation models that depict the system's dynamic material flow performance. The growing demands for flexible reconfigurability and adaptability in intralogistics systems necessitate frequent updates to engineering models. However, these updates often result in potential model inconsistencies due to insufficient stakeholder communication.Detecting the impact of model changes and related inconsistencies is challenging in practice due to data heterogeneity and complex inter-model relations. To address these challenges, we propose an ontology-versioning approach that automates the identification of inconsistencies resulting from model changes. Our approach facilitates the integration of heterogeneous model data, enables database versioning, detects inconsistencies caused by model updates, and provides traceability for identified issues. The concept is evaluated utilizing models from a prototypical implementation on a lab-sized demonstrator.Note to Practitioners-In the industry, the current development of intralogistics systems often lacks automated synchronization of overlapping model information and consistent model interfaces, frequently leading to contradictions among the models. This has been identified as a significant source of errors in the design of both industrial and academic intralogistics systems, as revealed by a study involving intralogistics experts from different technical disciplines. Effectively managing model inconsistencies is crucial for project success, particularly when frequent model changes occur. A promising approach to tackle this issue is to systematically link model data from different disciplines, through which model inconsistencies caused by inadequate com-

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Section: A Related Work In Change Management In Model-based Engineeringmentioning

confidence: 99%

Ontology Versioning for Managing Inconsistencies in Engineering Models Arising From Model Changes in the Design of Intralogistics Systems

Ji,

Vogel-Heuser,

Schypula

et al. 2024

IEEE Trans. Automat. Sci. Eng.

View full text Add to dashboard Cite

show abstract

Using MBSE With SysML to Analyze Change Impacts, Including Efforts, in Technical Systems

Cited by 1 publication

References 22 publications

Ontology Versioning for Managing Inconsistencies in Engineering Models Arising From Model Changes in the Design of Intralogistics Systems

Ontology Versioning for Managing Inconsistencies in Engineering Models Arising From Model Changes in the Design of Intralogistics Systems

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