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

Manuscript Submission Information

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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.

• 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