Engineering graph concept
Although Life Cycle Sustainability Assessments (LCSA) are important in evaluating the sustainability of complex products and services, there is no sufficient support for engineers performing LCSA. The concept of an Engineering Graph focuses on the relations of data within engineering. It provides a model that leverages existing data in engineering...
Context in source publication
Die Betrachtung von Produkt-Systemen über alle Phasen des Lebenszyklus gewinnt durch aktuelle Trends und deren Änderungsfrequenz zunehmend an strategischer Bedeutung für die Produktentwicklung. Der Ansatz des Systems & Life Cycle Engineerings kann hier genutzt werden, um die Innovation von Produkten zu unterstützen, um die Strategische Souveränität zu befähigen.
Medical devices today often consist of complex mechatronic products which help to provide treatment services for patients. Beside safety and reliability also sustainability aspects need to be considered for such products and services. The ability to describe, analyze and predict products and services throughout all phases of its lifecycle is becoming a core competence of engineering departments (Lifecycle Engineering). In order to have a digital representation of the product and services along the lifecycle (digital model, digital twin), well-established engineering approaches need to be combined.This paper builds on a stream of research, proposing to leverage and combine Model-based Systems Engineering (MBSE), Product Lifecycle Management (PLM) and Artificial Intelligence (AI) to strengthen the Lifecycle Engineering. The so called Engineering Graph is a key element of this research work to bridge those engineering disciplines and enable AI-driven engineering in the lifecycle context.KeywordsLifecycle Engineering (LCE)Systems Engineering (SE)Product Lifecycle Management (PLM)Artificial Intelligence (AI)Engineering Graph