Results 31 to 40 of about 310 (166)

Combining Model-Based Systems Engineering and Knowledge-Centric Systems Engineering to Design Reliable Systems in Practice

Applied Sciences
The use and importance of complex software-intensive systems are growing. As they are used in a wider range of situations in which dependability must be ensured, the reliability of the systems and of their components needs to be addressed throughout ...
Juan Manuel Morote, Jose Luis de la Vara, Giovanni Giachetti, Clara Ayora, Luis Alonso   +4 more
doaj   +1 more source

Economic Analysis of Model-Based Systems Engineering

Systems, 2019
In the face of ever-increasing complexity of systems and system development programs, several aerospace, automotive, and defense organizations have already begun or are contemplating the transition to model-based systems engineering (MBSE).
Azad M. Madni, Shatad Purohit
doaj   +1 more source

Integration of SysML and Virtual Reality Environment: A Ground Based Telescope System Example

Systems, 2023
In recent years, Model Based Systems Engineering (MBSE) has continued to develop as a standard for designing, managing, and maintaining increasingly complex systems. Unlike the document centric approach, MBSE puts the model at the heart of system design.
Mostafa Lutfi, Ricardo Valerdi
doaj   +1 more source

Identification of Missing Knowledge in MBSE System Models Using Graph‐Based Machine Learning

Systems Engineering, Volume 29, Issue 2, Page 133-149, March 2026.
ABSTRACT The design and development of complex aerospace systems pose significant challenges due to their growing complexity. Iterative design processes, guided by formal specifications, strive to refine initially vague characteristics through multiple stages.
Esma Karagoz, Olivia J. Pinon Fischer, Dimitri Mavris   +2 more
wiley   +1 more source

Industry-Driven Model-Based Systems Engineering (MBSE) Workforce Competencies—An AI-Based Competency Extraction Framework

Systems
Model-based systems engineering (MBSE) is being rapidly adopted in U.S. industries across various sectors. While practitioners and academics recognize many benefits of adopting MBSE, industries also report challenges such as limited tool expertise and a ...
Aditya Akundi, Phani Ram Teja Ravipati, Sergio A. Luna Fong, Wilkistar Otieno   +3 more
doaj   +1 more source

Advancing Model‐Based Systems Engineering in the Development of Naval Vessel Systems Architecture

Systems Engineering, Volume 29, Issue 2, Page 241-263, March 2026.
ABSTRACT The increasing complexity of modern naval vessels due to technological advancements poses challenges for early‐stage ship design (ESSD). Developing well‐defined system architectures and adopting systems engineering approaches are essential to address these challenges.
Vasileios Sideris, Zacharias P. Oikonomou, Sam Gerené, Austin A. Kana   +3 more
wiley   +1 more source

Using Domain-Specific Models to Facilitate Model-Based Systems-Engineering: Development Process Design Modeling with OPM and PROVE

Applied Sciences, 2021
Model-based Systems Engineering (MBSE) approaches are a step forward in the evolution of computer-aided engineering, and yet, they often incorporate deficiencies that may jeopardize their practical utility and usability, as well as the validity of the ...
Avi Shaked, Yoram Reich
doaj   +1 more source

A Systems Engineering Methodology for System of Autonomous Systems: Architecture and Integration

Systems Engineering, Volume 29, Issue 2, Page 169-194, March 2026.
ABSTRACT Artificial intelligence and machine learning (AI/ML) rapidly transform systems by providing autonomous capabilities. This new class of systems can become a constituent system in a system of systems (SoS) to evolve it into a system of autonomous systems (SoAS).
Mohammadreza Torkjazi, Ali K. Raz
wiley   +1 more source

Model-Based System Engineering of the Internet of Things: A Bibliometric Literature Analysis

IEEE Access, 2023
Model-based System Engineering (MBSE) of the Internet of Things (IoT) literature is broad, and analysis of this literature enables the identification of themes and potential future study topics that will influence system development.
Ehsan Ahmad
doaj   +1 more source

Multi‐Agent Reinforcement Learning Framework for Optimizing Smart Cities as System of Systems

Systems Engineering, Volume 29, Issue 1, Page 3-19, January 2026.
ABSTRACT This paper presents a novel framework for optimizing smart cities as System of Systems (SoS) by integrating Multi‐Agent Reinforcement Learning (MARL) with traditional systems engineering methodologies. Constituent systems–modeled as agents across domains such as transportation, energy, public safety, and communication, operate autonomously ...
Arifuzzaman (Arif) Sheikh, Edwin K. P. Chong   +1 more
wiley   +1 more source