This paper presents a novel approach to developing a dynamic user interface for Product Lifecycle Management (PLM) systems, leveraging a flexible and adaptive data model based on the XML standard. The proposed methodology addresses the growing need for PLM systems to adapt to evolving industrial requirements, particularly in the context of Industry 4.0, the Circular Economy, and Sustainability. The study introduces a hybrid data model that combines relational database structures with XML-based representations, enabling rapid customisation of PLM data models to meet specific business needs. A key innovation is the dynamic generation of user interfaces, which automatically adapt to changes in the underlying data model, ensuring seamless integration of new functionalities such as sustainability assessments. The framework uses a Model-View-Controller (MVC) architecture, with XML as the core data exchange and interface customisation mechanism. Verification demonstrates the system’s ability to incorporate sustainability-related attributes, such as carbon and water footprints, into product definitions, facilitating real-time environmental impact assessments. The results highlight significant advantages, including reduced adaptation time, enhanced system flexibility, and improved interoperability. However, limitations related to data retrieval speed and multi-level data visualisation were identified, suggesting areas for future research. Overall, this approach offers a scalable and efficient solution for adapting PLM systems to dynamic industrial environments, supporting the integration of advanced technologies and sustainable practices.

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A Concept for Automatically Adapting PLM System User Interfaces to Dynamic Business Requirements Using an Adaptive Data Model

  • Mariusz Cholewa

摘要

This paper presents a novel approach to developing a dynamic user interface for Product Lifecycle Management (PLM) systems, leveraging a flexible and adaptive data model based on the XML standard. The proposed methodology addresses the growing need for PLM systems to adapt to evolving industrial requirements, particularly in the context of Industry 4.0, the Circular Economy, and Sustainability. The study introduces a hybrid data model that combines relational database structures with XML-based representations, enabling rapid customisation of PLM data models to meet specific business needs. A key innovation is the dynamic generation of user interfaces, which automatically adapt to changes in the underlying data model, ensuring seamless integration of new functionalities such as sustainability assessments. The framework uses a Model-View-Controller (MVC) architecture, with XML as the core data exchange and interface customisation mechanism. Verification demonstrates the system’s ability to incorporate sustainability-related attributes, such as carbon and water footprints, into product definitions, facilitating real-time environmental impact assessments. The results highlight significant advantages, including reduced adaptation time, enhanced system flexibility, and improved interoperability. However, limitations related to data retrieval speed and multi-level data visualisation were identified, suggesting areas for future research. Overall, this approach offers a scalable and efficient solution for adapting PLM systems to dynamic industrial environments, supporting the integration of advanced technologies and sustainable practices.