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Bridging Model-Based Systems Engineering, Digital Twins, and Cyber-Physical Manufacturing Systems: A Foundational Framework for Operational Excellence
| dc.creator | Silva Sprock, Oscar | en |
| dc.date | 2026-04-30 | |
| dc.date.accessioned | 2026-08-03T16:43:30Z | |
| dc.date.available | 2026-08-03T16:43:30Z | |
| dc.identifier | https://imjeta.org/index.php/IMJETA/article/view/mbse-digital-twins-cpms | |
| dc.identifier | 10.67294/w1jdxb80 | |
| dc.identifier.uri | http://bdigital2.ula.ve:8080/xmlui/654321/26926 | |
| dc.description | The accelerating complexity of modern manufacturing demands a unified approach to align system design, operational execution, and continuous improvement. Model-Based Systems Engineering (MBSE), Digital Twins (DTs), and Manufacturing Operations Management (MOM) each contribute critical but fragmented capabilities across this continuum, while Cyber-Physical Systems (CPS) enable real-time coupling between digital and physical layers. Despite their conceptual complementarity, the literature lacks an integrative framework that connects these domains into a continuous information and decision flow supporting Operational Excellence. This paper conducts a systematic bibliographic synthesis of 97 peer-reviewed studies and standards (INCOSE, ISO 23247, ISA-95) to develop the Dynamic Digital Thread Framework (DDTF)—a foundational architecture for digitally continuous, cyber-physical manufacturing ecosystems. The DDTF aligns MBSE’s model-centric discipline with DT’s analytical intelligence, MOM’s executional control, and CPS’s real-time adaptability. Through this integration, the framework operationalizes Lean and Six Sigma principles within a digital architecture capable of reducing conversion cost, synchronizing the 4Ms (Man, Machine, Material, Method), and eliminating non-value-added activities. The study contributes a theoretically grounded yet industry-relevant foundation for future empirical research on digital continuity and cyber-physical integration. By reframing digital transformation as a systemic redefinition of knowledge flow and decision logic—rather than a technology deployment—the DDTF establishes a conceptual bridge between engineering intent and operational reality, enabling sustainable Operational Excellence in the era of Industry 5.0. | en |
| dc.format | application/pdf | |
| dc.language | en | |
| dc.publisher | Grupo Afronta C.A. | en |
| dc.relation | https://imjeta.org/index.php/IMJETA/article/view/mbse-digital-twins-cpms/7 | |
| dc.rights | Copyright (c) 2026 Oscar Silva Sprock (Author) | en |
| dc.rights | https://creativecommons.org/licenses/by-nc-nd/4.0 | en |
| dc.source | International Multidisciplinary Journal of Emerging Technologies and Applications; Vol. 1 No. 1 (2026); 61-96 | en |
| dc.source | 3135-6214 | |
| dc.subject | Model-Based Systems Engineering | en |
| dc.subject | Digital Twin | en |
| dc.subject | Manufacturing Operations Management | en |
| dc.subject | Digital Thread | en |
| dc.subject | Dynamic Digital Thread Framework (DDTF) | en |
| dc.title | Bridging Model-Based Systems Engineering, Digital Twins, and Cyber-Physical Manufacturing Systems: A Foundational Framework for Operational Excellence | en |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:eu-repo/semantics/publishedVersion |
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