Journal of Engineering System (JES)
Journal of Engineering System (JES) to impart a platform for publishing results and research with a strong empirical component, to create a bridge for significant gap between research and practice by promoting the publication of original, novel, industry-relevant research, to solicit original and unpublished research papers, based on theoretical or experimental works.
Aims & Scope
Journal of Engineering System (JES) to impart a platform for publishing results and research with a strong empirical component, to create a bridge for significant gap between research and practice by promoting the publication of original, novel, industry-relevant research, to solicit original and unpublished research papers, based on theoretical or experimental works.
Aims
To provide a platform for researchers, engineers, and industry practitioners to share innovative engineering theories, practical methodologies, and empirical research findings.
To facilitate the exchange of information and interdisciplinary collaboration among scholars, engineers, and professionals worldwide in the field of engineering systems.
To bridge the significant gap between theoretical research and industrial practice, and promote the application of research results in real-world engineering scenarios.
To encourage in-depth exploration and innovative research on hot issues, emerging trends, and practical difficulties in global engineering systems.
Scope
The journal covers a wide range of topics related to engineering systems, including but not limited to:
Systems Engineering
- Systems modeling, simulation, and optimization
- Complex system design and integration
- Systems reliability, safety, and risk assessment
- Industrial automation and control systems
- Smart manufacturing and Industry 4.0
- Supply chain and logistics systems engineering
Engineering Applications
- Civil and structural engineering systems
- Electrical power and energy systems
- Mechanical and aerospace engineering systems
- Environmental and sustainable engineering systems
- Biomedical engineering systems
- Data-driven engineering and digital twins