Analysis for an End-to-End MBSE Operational Architecture
Abstract
Model-Based Systems Engineering (MBSE) has shifted systems engineering toward digitally integrated architectures. However, methodological fragmentation among frameworks like UAF, ARCADIA, and MOFLT persists, characterized by ontological gaps and restricted interoperability. These constraints impede seamless End-to-End (E2E) lifecycle continuity across the SE “Vee” model. This research addresses these limitations by extending the E2E MBSE Framework, specifically formalizing the Operational Architecture (Ops-Arch) phase. Using a rigorous decomposition and reconstruction methodology, the Ops-Arch is synthesized by leveraging NASA standards and extracting high-fidelity artifacts from legacy frameworks. The development employs comparative analysis, reverse engineering of architectural patterns, and meta-model engineering to identify functional gaps and circularities. The resulting synthesis produces a comprehensive reference architecture that harmonizes disparate modeling blocks into a unified construct. This approach reduces practitioner cognitive load and facilitates the transition from abstract intent to concrete structural models. Key contributions include a cross-framework meta-model alignment, a semantic gap map, and a formalized E2E MBSE construct package anchored in a reference ontology. By bridging methodological heterogeneity, this framework ensures consistency in large-scale system design and enhances cross-disciplinary collaboration. This work demonstrates that dissimilar operational views can be systematically harmonized into a singular, precise architecture, improving both technical accuracy and human comprehension. Future research will evolve these constructs into executable architectures applied to a System of Interest (SoI) case study for integrated Verification and Validation (V&V).
Keywords: End-to-end Model-based Systems Engineering, Architectural Framework, Digital Thread, Traceability, Model Governance
DOI: 10.54941/ahfe1007691
Cite this paper
More from this volume
- Designing a Generative AI–Supported Modular Quotation Process for SMEs: A Design Science Research Approach
- Supporting Inspection of Structured Qualitative Team Task Analytic Data
- Integration of MBSE Elements and Automation with System Development Processes for Advanced Performance & Efficiency
- A method of increasing the electromagnetic immunity of the Spectrum Monitoring Sensor to UAV’s by using a shielded casing
- Annoyance Modeling in Cooperative Personnel Scheduling
- From Manual Patrols to Automated Detection: Leveraging Aerial Imagery, Computer Vision and Large Language Models for Wildfire Risk Mitigation
- Safety Predictive Model with Machine Learning and Its Application in DART Analysis in Utility
- Scalable Threat Detection in Customer Interactions Using LLMs and LLM-as-Judge Framework
- Human Performance Modeling in Virtual Factories: A Simulation-Driven Ergonomics Approach
- Optimization of Motion Capture Technology for a Human Digital Twin with Reduced Sensor Setups
- Application of 3D Neck Modeling in Ergonomic Product Design
- Simulating Force-Posture Co-evolution in Horizontal Pushing Task using a Digital Human Model


AHFE Open Access