AI- and IoT-Driven Solutions for Industrial Sustainability and Smart Manufacturing
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Products and Services".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 63
Special Issue Editors
Interests: Industry 4.0; machine learning; artificial intelligence; smart manufacturing; extended reality (XR)
Interests: network protocols; wireless sensor network; Internet of Things; signal processing; embedded systems
Special Issues, Collections and Topics in MDPI journals
Interests: internet of things; wireless sensor networks; wireless body sensor networks; bluetooth mesh network; signal processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The accelerating pace of digital transformation in the industrial domain presents both unprecedented opportunities and critical challenges for achieving sustainability goals. The integration of Artificial Intelligence (AI) and the Internet of Things (IoT) within industrial systems and manufacturing systems has enabled novel approaches to energy optimization, predictive maintenance, resource efficiency, and smart decision-making. These technologies have the potential to significantly reduce environmental impact while improving the operational performance of the so-called Industry 4.0.
This Special Issue aims to gather high-quality contributions that explore the intersection between advanced digital technologies and industrial sustainability. We welcome original research articles, case studies, and comprehensive reviews that address the design, development, and deployment of AI- and IoT-based solutions for sustainable manufacturing, logistics, and industrial operations.
Key topics include, but are not limited to, the following:
- AI and IoT synergies (Artificial Intelligence of Things, Edge-AI, Tiny-ML);
- AI and machine learning for sustainable process optimization;
- IoT architectures and edge computing for energy-aware industrial monitoring;
- Predictive analytics and digital twins for circular economy strategies;
- Sustainable supply chain management enabled by smart technologies;
- Industrial data analytics for emission reduction and resource conservation;
- Predictive maintenance and fault detection using machine learning;
- Industrial AI, machine learning, and deep learning in manufacturing for industrial sustainability and smart manufacturing;
- Ethical and policy considerations in AI/IoT-driven sustainability frameworks.
This Special Issue will serve as a platform for interdisciplinary dialogue between engineers, data scientists, sustainability experts, and industry practitioners, with the shared goal of driving innovation toward a greener, smarter, and more resilient industrial future.
Dr. Luisiana Sabbatini
Prof. Dr. Paola Pierleoni
Dr. Sara Raggiunto
Dr. Marco Esposito
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
- industrial sustainability
- sustainable manufacturing
- sustainable supply chain management
- artificial Intelligence
- internet of things
- energy optimization
- predictive maintenance
- resource efficiency
- smart decision-making
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
