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Methodology for Holistic Reference Modeling in Systems Engineering

Authors :
Ascher, Dominik
Heiland, Erik
Schnell, Diana
Hillmann, Peter
Karcher, Andreas
Publication Year :
2022

Abstract

Models in face of increasing complexity support development of new systems and enterprises. For an efficient procedure, reference models are adapted in order to reach a solution with les overhead which covers all necessary aspects. Here, a key challenge is applying a consistent methodology for the descriptions of such reference designs. This paper presents a holistic approach to describe reference models across different views and levels. Modeling stretches from the requirements and capabilities over their subdivision to services and components up to the realization in processes and data structures. Benefits include an end-to-end traceability of the capability coverage with performance parameters considered already at the starting point of the reference design. This enables focused development while considering design constraints and potential bottlenecks. We demonstrate the approach on the example of the development of a smart robot. Here, our methodology highly supports transferability of designs for the development of further systems.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2211.11453
Document Type :
Working Paper