Sensors for Smart Manufacturing: Advanced Sensing Solutions for Human-Centric, Inclusive and Resilient Industrial Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 467
Special Issue Editors
Interests: sensor monitoring; sustainable manufacturing; machine learning; cyber physical systems
Special Issues, Collections and Topics in MDPI journals
Interests: advanced manufacturing technology and systems; smart manufacturing; intelligent sensor monitoring; cloud manufacturing; digital factory technologies
Special Issue Information
Dear Colleagues,
High-quality submissions are solicited for this Special Issue that focuses on the integration of advanced sensor technologies into smart manufacturing systems. The objective is to compile interdisciplinary studies that investigate innovative sensing solutions for human-centric, inclusive, and resilient industrial systems. This includes novel sensor designs, such as wearable and nearable systems, for monitoring and optimizing cognitive load, stress, and operator well-being in industrial environments. Emphasis is also placed on developing robust sensor fusion techniques and machine learning models for the real-time assessment of mental workload and stress levels. Contributions addressing the integration of digital twin frameworks for predictive maintenance and process optimization in manufacturing settings are also welcomed. Research topics may include novel sensor fabrication methods, ergonomic and inclusive design strategies that account for diverse operator needs, and quantitative models for cognitive and stress evaluation. In addition, system-level evaluations demonstrating enhancements in production efficiency, quality control, and workplace safety are encouraged. This Special Issue aims to foster research that bridges advanced sensor technology with manufacturing applications while ensuring that industrial environments not only achieve high performance but also support operator health, reduce cognitive burden, and promote inclusivity.
This issue is aligned with the scope of Sensors, addressing the design, development, and application of sensor-based systems in industrial environments. The focus on practical sensor fusion, digital-twin integration, and machine learning for the real-time monitoring of cognitive and physiological parameters in manufacturing contributes to the field of precision measurements and advanced data analytics. The research examples sought—such as experimental studies on wearable sensor systems for operator monitoring and quantitative evaluations of human–machine interfaces—demonstrate both the underlying measurement science and the tangible technological applications that meet Sensors’ emphasis on innovative sensor development and practical impact.
Dr. Alessandro Simeone
Dr. Alessandra Caggiano
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- smart manufacturing
- wearable sensors
- nearable sensors
- cognitive load modeling
- stress assessment
- operator well-being
- ergonomics
- digital twins
- sensor fusion
- inclusive design
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