Robust Optimization and Predictive Maintenance Techniques for Future Industries
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Industrial Technologies".
Deadline for manuscript submissions: 10 January 2026 | Viewed by 30
Special Issue Editor
Interests: predictive maintenance; prognostics and health management; machine learning; Industry 4.0
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As industries evolve toward smarter, more interconnected, and autonomous systems, the demand for reliable, resilient, and efficient operations has never been greater. This Special Issue focuses on the growing importance of robust optimization and predictive maintenance techniques as essential pillars for the future of industry.
We welcome original research articles, comprehensive reviews, and practical case studies that explore how robust optimization methods—capable of handling uncertainty, variability, and complexity—can be effectively integrated with advanced predictive maintenance strategies to enhance decision-making and operational performance across diverse industrial sectors.
Topics of interest include, but are not limited to
- Robust and stochastic optimization for maintenance planning and industrial operations;
- Predictive analytics under uncertainty using AI, machine learning, and hybrid models;
- Fault diagnosis and remaining useful life (RUL) prediction under noisy or incomplete data;
- Integration of digital twins and physics-informed models for resilient system monitoring;
- Multi-objective and constraint-aware optimization in dynamic environments;
- Intelligent decision support systems and autonomous maintenance frameworks ;
- Applications in smart manufacturing, energy systems, logistics, and critical infrastructure;
- Case studies demonstrating real-world deployment of robust and predictive technologies.
This Special Issue aims to provide a platform for researchers and practitioners to present innovative solutions that can support resilient, proactive, and intelligent maintenance and optimization—cornerstones of sustainable and future-ready industrial systems.
Dr. Hai-Canh VU
Guest Editor
Manuscript Submission Information
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Keywords
- robust optimization
- predictive maintenance
- future industry
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