Sustainable Manufacturing Systems
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Economic and Business Aspects of Sustainability".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 24
Special Issue Editors
Interests: sustainable manufacturing; sustainable maintenance; sustainability 4.0; sustainability assessment; multi-criteria decision-making methods
Special Issues, Collections and Topics in MDPI journals
Interests: industry 4.0; maintenance; production engineering; systems reliability; lean maintenance; decision support systems; artificial intelligence; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: areas of decision support systems; constraints programming techniques; modeling and analyzing of systems of concurrent cyclic processes; operational research techniques; artificial methods
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue aims to present the state-of-the-art theoretical developments and applications of Industry 4.0 technologies for sustainability in manufacturing and maintenance processes in various industry sectors. Topics of interest include, but are not limited to, the following:
- The drivers and barriers of advanced technology implementation for sustainability in manufacturing and maintenance;
- Industrial AI, machine learning, and deep learning in manufacturing for sustainable manufacturing and maintenance;
- Modelling and simulation for sustainable manufacturing and maintenance processes;
- Digital-twin-driven intelligent manufacturing and maintenance for sustainability;
- Big Data analytics for sustainable manufacturing and maintenance;
- Internet of Things solutions in manufacturing and maintenance for sustainability;
- Data-driven solutions for sustainable and resilient production and maintenance;
- Predictive and prescriptive maintenance for sustainability;
- Human factors, industrial ergonomics, and safety in smart and sustainable production and maintenance systems;
- New skills affecting the performance of intelligent manufacturing and maintenance processes;
- Skills and competencies for digitized smart work in production and maintenance;
- Logistics 4.0 for sustainability in manufacturing and maintenance.
Contributions in these areas presenting both theoretical and practical results are welcome.
Prof. Dr. Malgorzata Jasiulewicz-Kaczmarek
Prof. Dr. Katarzyna Antosz
Prof. Dr. Bocewicz Grzegorz
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
- sustainable manufacturing and maintenance
- digitalization
- smart manufacturing and maintenance
- industrial AI
- modelling and simulation
- industrial ergonomics
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