Información de la Revista
Systems Engineering
Por favor Iniciar para ver el sitio web de la revista

Factor de Impacto:
1.6
Editor:
Wiley-Blackwell
ISSN:
1098-1241
Vistas:
14162
Seguidores:
0
Solicitud de Artículos
Aims and Scope

The journal Systems Engineering aims to publish manuscripts on topics related to the discipline of Systems Engineering. The journal welcomes original submissions on the conceptualization, design, implementation, operation, sustainment, and recycling, reuse, and retirement of technologically enabled systems that satisfy stakeholder needs throughout the lifecycle. This includes products and services in the private sector, as well as defense and public infrastructures and socio-technical systems whose precise boundaries are often challenging to define. Systems engineers consider, among others, defining stakeholder needs and customer requirements, trading off alternatives, focusing design team creativity, developing system architecture and design, managing the system complexity over time, establishing and maintaining quality, cost, schedule, risk, and opportunity under uncertainty, manufacturing and realization, understanding performance and safety during operations, training and support, as well as recycling and disposal at the end of life. The topics systems engineers consider provides a focus for the scope of Systems Engineering including encouraging contributions studying fundamental systems science to further define the underpinnings of the discipline, the design and operation of systems and systems-of-systems; the application of systems engineering to enterprises and complex socio-technical systems; the identification, selection and development of systems engineers; as well as the operation and evolution of systems and systems-of-systems over their entire lifecycle.

Readership

systems engineers, systems programmers, computer system developers

Keywords

Systems Engineering, Systems Management, Processes, Systems, Systems Integration, System Architecture, System Modeling, Integrated Process and Product Development, System Simulation, System Life Cycle, journal, online journal, Wiley Online Library

A note about keywords: Manuscripts should include three to seven keywords. Some of these keywords can be selected from a dropdown list within the manuscript submission system. Authors can add their own key words, as desired. It is important to match the use of key words throughout the paper title, abstract, and key word list. For more information, please see our instructions for writing and organizing your paper with respect to key words.
Última Actualización Por Dou Sun en 2026-04-11
Special Issues
Special Issue on AI in Systems Engineering
Día de Entrega: 2026-04-30

The journal Systems Engineering, in collaboration with the INCOSE AI Systems Working Group, invites submissions for a special issue focusing on the evolution and adoption of AI in Systems Engineering. The issue would focus on recent advances on how AI can be leveraged in systems engineering, including advanced systems engineering methods towards successfully realizing systems that leverage AI as part of their functionality, performance & behavior. Background & Context Rapid advances in AI represents one of the most transformative developments in modern engineering and technology. Systems engineering stands to benefit immensely from AI on multiple dimensions including enhanced decision-making, innovative solutions, optimized architectures and predictable outcomes with higher efficiency and accuracy. Advances in systems engineering methods are envisioned towards enabling successful realization of AI augmented systems. This convergence of AI and systems engineering has gained significant attention from academia and industry. Scope & Objectives This special issue aims to bring together cutting-edge research, case studies, and reviews that highlight the evolution and adoption of AI in systems engineering. We invite contributions that address, but are not limited to, the following topics: Evolution of AI in Systems Engineering: Historical perspective and future trends; AI-Driven Systems Engineering Methods & Practices: Advanced methodologies for integrating AI into systems engineering lifecycle processes, systems design and development, including Model Based Systems Engineering (MBSE); Case Studies: Real-world applications and success stories of AI in systems engineering; Tools and Frameworks: Development and evaluation of tools and frameworks that facilitate AI integration in systems engineering; Impact of AI on System Performance and Behavior: Investigations into how AI influences the reliability, performance, and behavior of complex AI augmented systems; AI in SE Lifecycle Management: Enhancing systems engineering lifecycle processes with AI, from concept development to disposal lifecycle stages; Explainable AI: Advanced methods and SE practices for Explainable AI towards development of intelligent systems that allow humans to understand their assessments, inferences, recommendations and decisions; Challenges and Opportunities: Ethical and societal implications of AI in systems engineering, including Responsible AI. Guest Editors: Dr. Ramakrishnan Raman Eaton, India Dr. Ali K Raz George Mason University, United States Dr. Barclay Brown Collins Aerospace, United States Keywords: Systems Engineering; Artificial Intelligence; AI-based Systems; AI in SE Lifecycle Management.
Última Actualización Por Dou Sun en 2026-04-11

Special Issue on Advancing Systems Engineering in the Face of Complexity
Día de Entrega: 2026-04-30

Systems Engineering, in collaboration with INCOSE's Future of Systems Engineering (FuSE) Program, invites submissions for a special issue focusing on the evolution and advancement of Systems Engineering (SE) in addressing the engineering of increasingly complex systems. Background & Context Historically, Systems Engineering has been pivotal in the development of methods for designing large technical systems. This legacy of success has positioned SE at the forefront of disciplines sought to provide effective methodologies for engineering complex systems in our rapidly evolving world. However, we recognize that current SE approaches face limitations when applied to the multifaceted nature of social, technical, and ecological systems of systems — areas that are increasingly recognized as being in critical need of innovative engineering solutions. Scope & Objectives This special issue seeks to address these challenges by advancing both the theoretical and practical dimensions of Systems Engineering. We are calling for papers that offer groundbreaking insights, methodologies, and applications that can enhance the capacity of SE to effectively engineer complex systems. Topics of interest include, but are not limited to: Innovative theoretical frameworks in SE for non-traditional domains; Case studies demonstrating novel applications of SE in social, technical, and ecological domains; Analysis and critique of current SE methodologies in the context of increasingly complex systems; Demonstrations of new tools, techniques, and practices in SE that can be applied to many kinds of systems; Empirical studies that validate the value of new theories, methods, and tools. Guest Editors: Dr. Erika Palmer Cornell University, United States Prof. Peter Brook, INCOSE Fellow Dashwood Systems Engineering, United Kingdom Dr. Michael Pennotti, INCOSE Fellow Stevens Institute of Technology, United States Dr. David Rousseau Oregon State University, United States Dr. Javier Calvo-Amodio Oregon State University, United States https://incose.onlinelibrary.wiley.com/hub/journal/15206858/call-for-papers/si-2024-001041
Última Actualización Por Dou Sun en 2026-04-11

Los Mejores Artículos
AñoLos Mejores Artículos
2024A taxonomy of metrics for human representations in digital engineering
2024Optimal verification strategy for general development plans using a belief-based approach
2024A comparative experiment between textual requirements and model-based requirements on proxies for contractual safety
2024Leveraging epoch-era analysis and digital twin for effective system concept and execution: A CO2 storage salt-cave project
2024Using functional decomposition to bridge the design gap between desired emergent multi-agent-system resilience and individual agent design
2023Conceptual modeling to support system-level decision-making: An industrial case study from the Norwegian energy domain
2023A reinforcement learning approach to system modularization under constraints
2023The impact of system representation choices on architecting insights
2023Towards Developing Metrics to Evaluate Digital Engineering
2023Mass customization and mass personalization meet at the crossroads of Industry 4.0: A case of augmented digital engineering
2022A resilience systemic model for assessing critical supply chain disruptions
2022Acquisition strategy factors related to faster defense acquisitions
2022Optimal verification strategies in multi-firm projects
2022Risk-based approach for managing obsolescence for automation systems in heavy industries
2022The role of risk mitigation actions in engineering projects: An empirical investigation
2020Systems modeling language extension to support modeling of human-agent teams
2020System-of-systems tools and techniques for the analysis of cyber-physical systems
2020Handling the COVID-19 crisis: Toward an agile model-based systems approach
2020Employing SysML to model and explore levels-of-service: The case of passenger comfort in railway transportation systems
2020Set-based design: The state-of-practice and research opportunities
2019Designing development processes related to system of systems using a modeling framework
2019Decision learning framework for architecture design decisions of complex systems and system-of-systems
2019Model-based protocol specification
2019A network perspective on assessing system architectures: Foundations and challenges
2019Quantification of changeability level for engineering systems
2019Elemental patterns of verification strategies
2018Product development resilience through set-based design
2018A mathematical model of verification strategies
2018Conceptualization of a T-Shaped engineering competency model in collaborative organizational settings: Problem and status in the Spanish aircraft industry
2018Agent-based simulation framework and consensus algorithm for observing systems with adaptive modularity
2018Using a systems engineering framework for additive manufacturing
2018Entropy-based system assessment metric for determining architecture's robustness to different stakeholder perspectives
2018Building the tower without climbing it: Progress in engineering systems
2018System architecting and design space characterization
2018Scenario-oriented reverse engineering of complex railway system specifications
2018A facilitated expert-based approach to architecting “openable” complex systems
2018Building models of product development processes: An integrative approach to managing organizational knowledge
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