Smart and Sustainable
    Manufacturing Systems

    Cover of Smart and Sustainable Manufacturing Systems

    About this 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.

    Relevant Topics Include:

    • Information Modeling
      • Information and domain specific modeling, semantics, and architecture for manufacturing systems
      • Material information modeling across the product life cycle
      • Cyber-Physical System (CPS) modeling and architecture,
      • Digital manufacturing and model-based systems engineering
      • Digital thread for additive manufacturing
    • Advanced Manufacturing and Infrastructure
      • CPS infrastructure for design, analysis, and control of manufacturing systems
      • Machine-to-machine communications and multi-layer networks and control
      • Life cycle engineering, resource optimization, and sustainability
      • Supply chain modeling
      • Sustainable manufacturing process (continuous and discrete) characterization
      • Energy and materials for manufacturing
      • Advanced sensors for machine tools for monitoring, control, and optimization
    • Computing and Analytics
      • Real-time data analytics for predictive modeling for manufacturing system performance
      • Uncertainty quantification and propagation, including verification and validation
      • Resiliency and recovery of smart manufacturing systems and supply chains
      • Advanced (cloud, edge) and high-performance computing
      • AI for machine tools for prediction and control—from automation to autonomy
      • Cyber security framework and industrial control systems for manufacturing and Industrial Internet of Things (IIoT)

    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.