Methodology for Holistic Reference Modeling in Systems Engineering
This addresses the problem of inefficient reference modeling for systems engineers, though it appears incremental as it builds on existing reference modeling concepts.
The paper tackles the challenge of applying consistent methodologies for reference model descriptions in complex systems engineering by presenting a holistic approach that spans requirements, capabilities, services, components, processes, and data structures. The result is demonstrated through a smart robot development example, showing improved end-to-end traceability and transferability of designs.
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.