Reliability and Maintenance Scheduling: Methods, Theory and applications
A special issue of Systems (ISSN 2079-8954).
Deadline for manuscript submissions: closed (31 March 2019) | Viewed by 7786
Special Issue Editor
Interests: expert systems; aggregation operators; reliability & maintenance analysis; computational intelligence; multi-criteria decision making problems; optimization techniques; nature inspired algorithms; intuitionistic fuzzy set theory
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the present era of industrial growth, optimal efficiency and minimum hazards are more challenging to maintain. To overcome these issues, reliability technology can play an important role. Reliability is measured as the ability of a system to perform its intended function, successfully, for a specified period, under predetermined conditions. This attribute has far-reaching consequences on the durability, availability, and life cycle cost of a product or system and is of great importance to the end user/engineer. However, failure is an inevitable fact related to products and systems. These failures may be the results of human error, poor maintenance, or inadequate testing and inspection. To improve system reliability and availability, implementation of appropriate maintenance strategies plays an important role. High performance of these units can be achieved with highly reliable subunits and perfect maintenance. To this effect, knowledge of the behavior of systems and their component(s) is customary in order to plan and adapt suitable maintenance strategies. Therefore, in recent years, the importance of reliability and maintenance theory has been increasing rapidly with the innovation of recent technology for the purpose of making good products of a high quality and designing highly reliable systems.
This Special Issue on “Reliability and Maintenance Scheduling: Methods, Theory and Applications” presents a platform where researchers from academy and industry can present methodologies of coping with uncertainty in reliability optimization through the use of concepts and various techniques, such as soft computing, fuzzy optimization, uncertainty, maintenance scheduling, Markov chain, Stochastic process, etc.
Dr. Harish Garg
Guest Editor
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Keywords
- Reliability optimization.
- Risk assessment
- Reliability redundancy allocation problems
- Maintenance scheduling
- Reliability-based Design Optimization
- Hazard rate, fault tree analysis
- Maintenance Models and Methodologies
- Big Data and IoT Applications for Reliability Improvement
- Reliability Growth Analysis
- Markov systems
- Stochastic process
- Evolutionary algorithms
- Fuzzy reliability analysis
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