Industrial System Reliability Modeling and Optimization
A special issue of Applied Sciences (ISSN 2076-3417).
Deadline for manuscript submissions: 31 December 2025 | Viewed by 66
Special Issue Editors
Interests: maritime safety and security; intelligent transportation systems; green shipping; autonomous shipping; onshore/offshore clean energy
Special Issues, Collections and Topics in MDPI journals
Interests: reliability assessments; condition monitoring; fault diagnosis; residual life prediction
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to invite you to contribute to this Special Issue, “Industrial System Reliability Modeling and Optimization”, which focuses on the critical role of reliability in modern industrial systems. In today’s highly complex and interconnected industrial environments—spanning manufacturing, energy, transportation, aerospace, and service sectors—system reliability is fundamental to ensuring operational excellence, safety, and economic performance. As these systems become more automated, digitized, and data-driven, they also face increasing complexity, uncertainty, and risks. This has created an urgent need for advanced, innovative methodologies to model, analyze, and optimize system reliability for enhanced performance, reduced downtime, and minimized failure-related costs.
This Special Issue aims to explore and disseminate the latest research developments, practical applications, and theoretical advancements in the field of industrial system reliability. It aligns with the journal’s scope by focusing on system design, performance optimization, predictive maintenance, and decision-making, which are central to sustainable and resilient industrial operations. With the emergence of Industry 4.0 and the transition toward Industry 5.0, reliability engineering is evolving to integrate data analytics, artificial intelligence (AI), the Internet of Things (IoT), digital twins, and cyber–physical systems. These technologies offer new capabilities for real-time monitoring, anomaly detection, and adaptive maintenance strategies, ultimately supporting human-centric and sustainable system designs.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following topics:
- Reliability modeling and optimization in complex industrial systems;
- Data-driven predictive maintenance and condition monitoring;
- Fault detection and remaining useful life (RUL) prediction;
- AI and machine learning for reliability engineering;
- Digital twins and IoT applications in reliability assessment;
- Risk analysis and stochastic modeling for industrial systems;
- Case studies on reliability improvement in manufacturing, transportation, and energy sectors;
- Human factors and safety considerations in reliability-centric system design.
We look forward to receiving your contributions that advance the understanding and application of reliability modeling and optimization in industrial systems.
Dr. Huanhuan Li
Dr. Junyu Guo
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. Applied Sciences 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
- system reliability
- reliability modeling
- predictive maintenance
- optimization algorithms
- digital twin
- fault detection and diagnosis
- stochastic modeling
- industrial systems engineering
- risk assessment
- machine learning in reliability
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