Digital Engineering Models of Complex Systems using Model‐Based Systems Engineering (MBSE) from Enterprise Architecture (EA) to Systems of Systems (SoS) Architectures & Systems Development Life Cycle (SDLC)

Abstract

This paper presents the sharing of our experiences and lessons learned to modernize a warship with C6ISR utilizing the digital engineering MBSE models of complex systems. We captured Enterprise Architecture (EA) DoDAF views, KPP and KSA in Capability Views (CV). At the EA, information passes into domain specific SoS Block Definition Diagrams (BDD) and Internal Block Diagrams (IBD) to interface and exchange information via SysML models and generate the Interface Control Document (ICD) automatically. The paper illustrates the mapping of EA with SoS digital models and tracing from EA to SoS MOE, MOP, MOS and TPM. The paper applies a Use Case to exemplify OOSEM life cycle activities for requirements traceability. The paper has demonstrated that both EA and SoS are derived from Systems Engineering (SE) process and can be validated and verified via the “V‐Model” and endorse the noticeable reduction in the total development cost per complex systems project.

MBSE-PLM Integration: Initiatives and Future Outlook

“…The DT is a set of virtual information constructs that fully describes all of the information required to define, describe, and produce a potential or actual physical manufactured product, including requirements, a fully annotated 3D model with geometric dimensioning and tolerancing (GD&T), material specifications, Product Manufacturing Information (PMI), etc. Rooted in SE, Digital Engineering [14] uses MBSE [15], to model the essential system characteristics including system requirements, structure, functions, and behaviour.…”

Applying Model‐Based Systems Architecture Processes (MBSAP) Methodology for Diversified MBSE Projects with Efficient Systems of Systems Accomplishments

“…MBSAP is a modern MBSE research methodology that has the advantage especially in the development of integrating EA with SoS in UPDM / UAF (Tsui, R., Davis, D., & Sahlin, J., 2018). When EA is using DoDAF, developer requires DIV 1, 2 and 3 respectively to capture CONOP, Logical and Physical Data information; during the mapping into complex SoS using SysML, MBSE data can be misplaced into improper placeholders.…”

A Survey on the Challenges Hindering the Application of Data Science, Digital Twins and Design Automation in Engineering Practice

“…Digital engineering is a concept that implements digital technologies to support the engineering design process by taking the entire product lifecycle into account (Huang et al, 2020;Tsui et al, 2018). To incorporate data from PLM and extend engineering methods, digital engineering uses various approaches such as digital twins (Tao et al, 2018), design automation (Rigger, Lutz, et al, 2019;Verhagen et al, 2015) or data science (Dogan and Birant, 2021).…”