Advancements in Sustainable Manufacturing Systems and Risk Management
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".
Deadline for manuscript submissions: 29 April 2026 | Viewed by 1265
Special Issue Editors
Interests: energy performance of manufacturing systems; risk management and occupational safety; reliability and maintenance modeling; Industry 4.0 and digitalization; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The evolution of manufacturing towards Industry 5.0 marks a paradigm shift beyond efficiency and automation, embracing resilience, human-centricity, and sustainability as core principles. As industries integrate advanced digital technologies with human expertise, the challenge lies in balancing technological innovation with environmental and social responsibility.
The transition towards smart, adaptive, and sustainable manufacturing requires addressing key aspects such as risk management, cybersecurity, resource efficiency, and workforce empowerment. Integrating AI, machine learning, digital twins, and renewable energy is unlocking new capabilities in predictive analytics, sustainable production planning, and agile risk mitigation. Simultaneously, a human-centric approach is redefining the role of workers, emphasizing collaborative robotics, skill augmentation, and ethical AI in modern production environments.
This Special Issue will explore innovative strategies, methodologies, and technologies that enable sustainable, resilient, and human-centered manufacturing while addressing risks in an increasingly complex industrial landscape. We invite original research articles and review papers on topics including, but not limited to, the following:
- Industry 5.0 and human-centric manufacturing;
- Sustainable and resilient manufacturing systems;
- Risk management in Industry 4.0 and 5.0;
- AI, machine learning, and decision intelligence in manufacturing;
- Cybersecurity in smart and connected factories;
- Circular economy and lifecycle assessment;
- Renewable energy integration in industrial processes;
- Green and ethical supply chain management;
- Collaborative robotics and augmented workforce;
- Lean, agile, and adaptive manufacturing strategies;
- Digital transformation and intelligent automation.
We look forward to receiving high-quality contributions that advance both theoretical and practical knowledge in these areas.
Dr. Pier Francesco Orrù
Dr. Anna de Carolis
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 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
- Industry 5.0
- manufacturing systems
- risk management
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