Determination of Operational Reliability of Firefighting Special Vehicles

Dubový, David; Famfulík, Jan; Richtář, Michal

doi:10.1016/j.trpro.2021.06.014

Cited by 3 publications

(7 citation statements)

References 3 publications

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“…10. The average time between failures was nearly 75 days shorter, the average repair time was almost 2 days longer, and the mean availability indicator was 0.017% lower than the vehicles analysed in [12] (comparison to the values obtained for vehicles built on the MAN chassis).…”

Section: Discussionmentioning

confidence: 61%

“…Firefighting vehicles analysed are characterised by higher reliability compared to those presented in [12]. The estimated reliability indicators presented there have been shown in the tab.…”

Section: Discussionmentioning

confidence: 95%

“…1 𝛽 (12) where: This formula is often used in reliability analysis to estimate the time in which the reliability of a unit will reach a specified level (R) starting from age zero.…”

Section: Fitting Of the Probability Distribution Fitting And Basic Ch...mentioning

confidence: 99%

“…The choice of particular metrics is based on various factors, including the nature of the object and its operational context [22,28,41,52]. Regarding fire trucks, significant indicators are mean time between failures (MTBF), mean time to repair (MTTR), mean residual life (MRL), and operational availability (Ao) [8,12,43]. One of the fundamental tasks in reliability analysis involves creating a model for the distribution of lifetimes using actual run-to-failure data [1,20,39,48].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, the objective of the article is to analyse life cycle performance, quantified reliability, maintainability, and mainly availability estimation, as well as modelling and prediction of the reliability of firefighting and rescue vehicles with respect to two subsystems, the chassis with a cabin and the superstructure [11,12]. The uniqueness of the presented research lies in the fact that, so far, the topic has been reported to be very rarely addressed in scientific publications.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Failure and reliability analysis of heavy firefighting and rescue vehicles: a case study

Selech,

Rogula-Kozłowska,

Piątek

et al. 2023

Eksploatacja i Niezawodność – Maintenance and Reliability

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The purpose of the article was to analyse the reliability, maintainability, and availability estimates of firefighting and rescue engines. Analysing the reliability parameters of heavy firefighting and rescue vehicles over time requires knowledge of their failures. In this article, failure data from the six years of maintenance of ten heavy firefighting and rescue vehicles from ten were analysed in relation to two main subsystems. Reliability analysis was performed and the best-fit distribution was found, with the parameters calculated. For both subsystems, the chassis combined with the cabin and the superstructure, the 2P-Weibull distribution was identified as the most suitable fit. The availability and maintenance indicators for each vehicle and the individual subsystems were calculated. It was clearly defined that there exists a significant difference between the two subsystems analysed in terms of failure characteristics, as well as maintainability and availability parameters.

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Section: Discussionmentioning

confidence: 61%

Section: Discussionmentioning

confidence: 95%

“…1 𝛽 (12) where: This formula is often used in reliability analysis to estimate the time in which the reliability of a unit will reach a specified level (R) starting from age zero.…”

Section: Fitting Of the Probability Distribution Fitting And Basic Ch...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Failure and reliability analysis of heavy firefighting and rescue vehicles: a case study

Selech,

Rogula-Kozłowska,

Piątek

et al. 2023

Eksploatacja i Niezawodność – Maintenance and Reliability

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Determination of Operational Reliability of Firefighting Special Vehicles

Dubový

Famfulík

Richtář

2021

Transportation Research Procedia

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Selection of Production Reliability Indicators for Project Simulation Model

2022

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Due to technological enhancements, traditional, qualitative decision-making methods are usually replaced by data-driven decision-making even in smaller companies. Process simulation is one of these solutions, which can help companies avoid costly failures as well as evaluate positive or negative effects. The reason for this paper is twofold: first, authors conducted a Quality Function Deployment analysis to find the most vital reliability indicators in the field of production scheduling. The importance was acquired from the meta-analysis of papers published in major journals. The authors found 3 indicators to be the most important: mean time between failure (MTBF), mean repair time and mean downtime. The second part of the research is for the implementation of these indicators to the stochastic environment: possible means of application are proposed, confirming the finding with a case study in which 100 products must be produced. The database created from the simulation is analyzed in terms of major production KPIs, such as production quantity, total process time and efficiency of the production. The results of the study show that calculating with reliability issues in production during the negotiation of a production deadline supports business excellence.

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Determination of Operational Reliability of Firefighting Special Vehicles

Cited by 3 publications

References 3 publications

Failure and reliability analysis of heavy firefighting and rescue vehicles: a case study

Failure and reliability analysis of heavy firefighting and rescue vehicles: a case study

Determination of Operational Reliability of Firefighting Special Vehicles

Selection of Production Reliability Indicators for Project Simulation Model

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