About the Journal
This journal fosters transdisciplinary research that crosses the boundaries of information science, systems engineering and engineering design, manufacturing, data science, and product life cycle with a focus on how to make manufacturing systems smarter and sustainable.
The journal specifically invites papers that will address advanced manufacturing; energy and materials for manufacturing; product, process, and asset (machine tools, machinery) digitization for integrated production optimization; measurement science; and standards, protocols, and tools needed to design, analyze, and control smart manufacturing systems based on a cyber-physical infrastructure for manufacturing.
If you would like to propose a special issue for SSMS, please follow the instructions in the special issue guidelines that can be found on the ASTM website.
Relevant Topics Include:
- Information, Knowledge, and Semantics Modeling
- Information and domain specific modeling, semantics, and architecture for manufacturing systems
- Cyber-Physical System (CPS) modeling and architecture
- Digital manufacturing and model-based systems engineering
- Digital thread and Digital Twin for manufacturing and supply chain
- Physics informed ML for manufacturing processes
- GenAI for manufacturing
- Smart and sustainable Manufacturing and Infrastructure
- CPS infrastructure for design, analysis, and control of manufacturing systems
- Machine-to-machine communications and multi-layer networks and control
- Resiliency and recovery of smart manufacturing systems and supply chains
- Supply chain modeling and analytics
- Sustainability modeling, measurement, assessment, and analytics
- Sustainable design, control, and optimization of manufacturing systems
- Advanced sensors for machine tools for monitoring, control, and optimization
- Energy and materials efficiency for manufacturing
- Clean and Renewable Energy manufacturing
- Enabling technologies, Computing and Analytics
- Real-time data analytics for predictive modeling for manufacturing system performance
- Uncertainty quantification and propagation, including verification and validation
- Advanced sensors, Machine to machine communications, Digital thread and Digital twins
- Computing (cloud, edge) and high-performance computing
- AI for prediction and control—from automation to autonomy
- Industrial control systems for manufacturing and Industrial Internet of Things (IIoT)
- Cyber security framework for manufacturing
- Product Lifecycle Engineering and Management
- PLM Process
- PLM infrastructure, implementation processes, and emerging standards
- Collaborative product development, models for cross-disciplinary information sharing
- Interoperability and enterprise systems integration
- Sustainability and Lifecycle Issues
- Embedded lifecycle intelligence in products, traceability/security issues
- Eco-design, Green and Sustainable products, Digital Twin for Lifecycle
- ReX (recycle, reuse, reduce, repair, remanufacture, recover)
- PLM, enterprise business, and education
- Organizational change management, PLM support for product innovation
- Business strategies and benefits for PLM
- PLM education, training approaches, and education for Sustainable Development
- PLM Process
We welcome research papers, industry case studies and application papers, survey papers, and technical notes. We strongly advocate that papers have strong theoretical content and demonstrate manufacturing industry applications.
ISSN: 2520-6478
E-ISSN: 2572-3928
Coden: SSMSCY
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