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 925
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
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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
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