Enhancing Smart Manufacturing: Process Innovation and Safety Management in the Digital Factory Era

Dear Colleagues,

Smart manufacturing is transforming industrial landscapes by integrating advanced technologies such as the Internet of Things (IoT), cyber–physical Systems (CPS), cloud computing, and big data. These innovations are enabling the creation of responsive and dynamic factories, often referred to as the virtualization of manufacturing processes. By mapping physical shop floor operations into a virtual environment, manufacturers can achieve real-time monitoring, improved transparency, traceability, increased productivity, and revenue growth (Napoleone et al., 2022; Bi et al., 2021; Rüßmann et al., 2015). The shift toward smart manufacturing holds immense potential for revolutionizing operational procedures across industries.

However, despite its promise, smart manufacturing is still in its early stages of development and global adoption remains limited (Bibby and Dehe, 2018). Most of the existing research focuses on the technical aspects, challenges, and advantages of smart manufacturing, leaving gaps in understanding its operational impact. Emerging topics such as human–robot collaboration (HRC) and machinery safety (Giallanza et al., 2024) are gaining traction, but the implications of smart manufacturing on process safety are not yet fully understood. As companies implement these new technologies, they face uncertainty regarding how technical and operational changes will affect their safety and process innovation.

This Special Issue seeks to fill this gap by examining the innovations, operational transformations, and strategic perspectives that define smart manufacturing, particularly in relation to process safety management. We aim to provide a comprehensive exploration of how the integration of smart manufacturing technologies impacts process safety and operational efficiency. This issue will address:

- The role of smart manufacturing technologies (IoT, CPS, AI, big data, etc.) in improving process transparency and responsiveness.
- Innovations in process design and their implications for safety management.
- Case studies of successful smart manufacturing deployments and their operational impacts.
- Challenges in the adoption of smart manufacturing across industries and how they can be addressed.
- The influence of human–robot collaboration (HRC) on safety and productivity.
- Best practices for aligning business transformation with process safety objectives.
- The role of predictive analytics, machine learning, and digital twins in enhancing safety and performance.
- The regulatory and compliance implications of smart manufacturing and their effects on safety standards.

We invite researchers, scholars, practitioners, and industry experts in smart manufacturing, industrial engineering, process safety management, and digital transformation to contribute to this Special Issue. We are particularly interested in high-quality submissions that include:

- Case studies showcasing smart manufacturing adoption and its effects on process safety and operational performance.
- Quantitative research that explores the relationship between smart manufacturing and safety outcomes.
- Application-focused articles demonstrating the practical implementation of smart manufacturing technologies in improving process innovation and safety protocols.

• Human–machine collaborative systems
• Challenges and limitations for smart manufacturing 
• Data quality and quality in information management systems
• Defining performance measures for smart manufacturing systems 
• Digital transformation for manufacturing supply chains 
• Sustainability for smart manufacturing 
• Smart manufacturing for process safety management practices 
• AI applications for industrial safety 
• Industry 5.0 for process enhancement and safety management 
• Work systems and human factors in the era of digital transformation 
• Optimization for smart manufacturing processes and advanced safety systems performance

This Special Issue will provide valuable insights into the ongoing transformation of manufacturing processes through smart technologies, with a particular focus on safety management and process innovation. By fostering a deeper understanding of how smart manufacturing impacts operational and safety standards, this issue aims to help both practitioners and scholars navigate the challenges and opportunities of the digital factory era.

We welcome submissions of original research articles, case studies, and review papers that align with the themes of this Special Issue. All submissions will undergo a rigorous peer-review process to ensure the highest quality of published work. 

References:

1. Napoleone, A., Bruzzone, A., Andersen, A. L., & Brunoe, T. D. (2022). Fostering the reuse of manufacturing resources for resilient and sustainable supply chains. Sustainability, 14(10), 5890.
2. Z. Bi, Y. Jin, P. Maropoulos, et al. Internet of things (IoT) and big data analytics (BDA) for digital manufacturing (DM) Int. J. Prod. Res., 61 (12) (2021), pp. 1-18.
3. M. Rüßmann, M. Lorenz, P. Gerbert, M. Waldner, J. Justus, P. Engel, and M. Harnisch, ‘‘Industry 4.0: The future of productivity and growth in manufacturing industries,’’ Boston Consulting Group, vol. 9, no. 1, pp. 54–89, 2015.
4. Bibby, L., & Dehe, B. (2018). Defining and assessing industry 4.0 maturity levels – case of the defence sector. Production Planning & Control, 29(12), 1030–1043. https://doi.org/10.1080/09537287.2018.1503355.
5. Giallanza. A., Scalia, G., et al. Occupational health and safety issues in human-robot collaboration: State of the art and open challenges. Safety Science, Vol. 169, 2024, 106313. https://doi.org/10.1016/j.ssci.2023.106313.

Dr. Mario Di Nardo
Dr. Valentina Popolo
Dr. Marianna Madonna
Guest Editors

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