Intelligent Scheduling and Optimization in Smart Manufacturing
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D: Statistics and Operational Research".
Deadline for manuscript submissions: 20 June 2026 | Viewed by 3
Special Issue Editor
Special Issue Information
Dear Colleagues,
Smart manufacturing has emerged as a transformative paradigm that integrates advanced information technologies, artificial intelligence, and data-driven decision-making to enhance the efficiency, benefits, flexibility, and sustainability of modern industrial systems. Among its core challenges, production scheduling and optimization play a pivotal role in orchestrating resources, operations, and logistics in complex manufacturing environments.
This Special Issue aims to provide a platform for researchers and practitioners to share recent advances, innovative methodologies, and practical applications in intelligent scheduling and optimization. We particularly welcome contributions that leverage machine learning, meta-heuristic algorithms, optimization theory, large language models, and digital twin technologies to address challenges in complex scheduling and optimization problems arising from smart manufacturing systems. Both theoretical developments and real-world case studies are encouraged to bridge the gap between academic research and industrial practice.
Topics of interest include, but are not limited to:
- Multi-objective optimization in manufacturing systems;
- Data-driven and knowledge-based scheduling methods;
- Digital twins and production scheduling for complex manufacturing systems;
- Adaptive and real-time scheduling under uncertainty;
- Scheduling and optimization for human–machine collaboration systems;
- Application of learning-based methods in smart manufacturing systems;
- Intelligent operation, maintenance, control, and scheduling in complex systems;
- Applications of meta-heuristic and evolutionary algorithms for smart manufacturing.
Dr. Ziyan Zhao
Guest Editor
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Keywords
- smart manufacturing
- intelligent algorithm
- production scheduling
- intelligent scheduling
- data-driven scheduling
- real-time scheduling
- multi-objective optimization
- optimization
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