Semi-Markov modeling applications in system availability analysis

Kumar, Girish; Loganathan, M. K.; Yadav, Om Prakash

doi:10.1016/b978-0-323-91943-2.00012-5

Engineering Reliability and Risk Assessment 2023

DOI: 10.1016/b978-0-323-91943-2.00012-5

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Semi-Markov modeling applications in system availability analysis

Girish Kumar¹,

M. K. Loganathan²,

Om Prakash Yadav³

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2024

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Cited by 2 publications

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Reliability and availability analysis of high-altitude platform stations through semi-Markov modeling

Mittal,

Ivanova,

Jain

et al. 2024

Reliability Engineering & System Safety

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Reliability and availability analysis of high-altitude platform stations through semi-Markov modeling

Mittal,

Ivanova,

Jain

et al. 2024

Reliability Engineering & System Safety

View full text Add to dashboard Cite

Enhancing System Predictability and Profitability: The Importance of Reliability Modelling in Complex Systems and Aviation Industry

Prawar,

Naithani,

Arora

et al. 2024

Wseas Transactions on Mathematics

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Predicting the future has always been a human endeavor, ranging from antiquated methods such as monitoring aquariums for indications of earthquakes to contemporary techniques that evaluate system probabilities and capacities. Taking into account the current emphasis on improving product reliability by customer demands and global competitiveness, we introduce the idea of reliability in the context of the Airbus A320 airplane in this paper. When it comes to business and commercial aircraft, timetable compliance and punctuality are critical components of an aircraft’s profitability. For many operators of commercial aircraft, reaching the 98% reliability criterion is a typical objective. This study examines the Airbus A320 in great detail, concentrating on a particular system scenario that has two possible failure modes, one where gears do not retract after takeoff and the other being when landing, the gears fail to extend. The organization bears specific costs as a result of these shortcomings. The purpose of the study is to examine these expenses and offer insights into the financial ramifications by performing a profit analysis. We examine the failure and repair patterns by utilizing the Markov Process and Regenerative Point method. This study adds to our understanding of the reliability issues facing the aviation sector and has applications for improving the Airbus A320 aircraft’s operational effectiveness and financial performance.

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Semi-Markov modeling applications in system availability analysis

Cited by 2 publications

References 15 publications

Reliability and availability analysis of high-altitude platform stations through semi-Markov modeling

Reliability and availability analysis of high-altitude platform stations through semi-Markov modeling

Enhancing System Predictability and Profitability: The Importance of Reliability Modelling in Complex Systems and Aviation Industry

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