Artificial Intelligence in Sustainable Reconfigurable Manufacturing Systems and Operations Management
A special issue of Big Data and Cognitive Computing (ISSN 2504-2289).
Deadline for manuscript submissions: 31 May 2025 | Viewed by 1345
Special Issue Editors
Interests: sustainable production; reconfigurable manufacturing systems; supply chains; Industry 4.0 technologies; AI-enabled decision making models; big data analytics; optimization
Special Issues, Collections and Topics in MDPI journals
Interests: manufacturing management; supply chain management; sustainable operations; business excellence; lean manufacturing; data-driven decision making; optimization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Reconfigurable manufacturing systems (RMSs), characterized by six core characteristics—modularity, integrability, diagnosability, customization, convertibility, and scalability—entail developing a production system at the frontier of flexible manufacturing systems and dedicated lines to achieve a tradeoff between productivity and flexibility. Sustainable manufacturing (SM), viewed as a practice of circularity in manufacturing under the circular economy concept, entails developing more sustainable products—energy-efficient, eco-friendly, and socially responsible—using sustainable processes and supply systems, i.e., those that produce minimal adverse environmental effects, conserve energy and natural resources, are harmless to people, and are viable for profit. Sustainable reconfigurable manufacturing systems (SRMSs) merge these concepts by embedding sustainability into the flexible and adaptive nature of RMSs, representing a critical evolution in manufacturing that meets the dual demands of sustainability and resiliency.
This Special Issue delves into the role of artificial intelligence (AI) in enhancing sustainable reconfigurable manufacturing systems and operations management. It aims to showcase pioneering research and practical applications where AI drives advancements in manufacturing systems toward greater sustainability and flexibility. By providing a platform for both researchers and practitioners, this issue intends to present innovative strategies, tools, and case studies that demonstrate how AI can enhance manufacturing systems and operations management, leading to a more sustainable and resilient status.
Dr. Hamed Gholami
Prof. Dr. Jose Arturo Garza-Reyes
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. Big Data and Cognitive Computing is an international peer-reviewed open access monthly 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 1800 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
- artificial intelligence
- reconfigurable manufacturing systems
- sustainable production
- supply chains
- operations management
- Industry 4.0/5.0 technologies
- intelligent decision making models
- data analytics
- optimization
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.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
