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Introduction/purpose: The aim of this paper is to obtain quantitative and qualitative indicators of vehicle condition and reliability based on operational data which can be used to determine the optimal periodicity of preventive maintenance for special purpose vehicles, and to more accurately manage the maintenance process and the operational readiness of these vehicles. Methods: Based on operational failure data and statistical methods, a mathematical model of the reliability of special purpose vehicles was determined. Using this model and operational data, the periodicity of preventive maintenance for the vehicles was determined through multicriteria optimization, considering both readiness and minimum maintenance costs. The same methodology was applied to determine the optimal preventive maintenance periodicity for 15 components of the mechanical system of special purpose vehicles. A group analysis was conducted using Minitab 15 statistical software, based on the theory of similarity in preventive maintenance periodicity for the 15 components, and a statistical analysis of the conducted research was performed using Minitab 16 statistical software. Results: Models for preventive maintenance of special purpose vehicles were developed based on the recorded vehicle failures and the failures of fifteen vital components. A group analysis grouped the fifteen components into optimal maintenance groups, similar in terms of working time between failures. The statistical analysis of the research determined a functional relationship for the optimal periodicity of preventive maintenance for special purpose vehicles. Conclusion: The maintenance periodicity obtained through multi-criteria analysis is optimal, as it achieves satisfactory vehicle readiness with optimal maintenance costs. The statistical analysis of the research concluded that the maintenance periodicities of the vehicle components are different. In both fleets, the engine and the transmission block have the longest maintenance intervals. The research results can be used to rationalize the existing preventive maintenance concept. [ABSTRACT FROM AUTHOR]

Introduction/purpose Reliability and availability are important especially for military, medical, and other professional equipment. Reliability and availability management and/or prognostic reliability calculations have always been data driven. This article focuses on the analysis of the data impact on reliability and availability. Methods: This research is based mostly on the articles published by the author of this work as well as on some other papers. Results: This paper results in a discussion on the definition of the datadriven concept, preceded by brief definitions of reliability and availability, and followed by the analysis of the main impacts of uncertain data on prognostic reliability calculations as well as by reliability and availability of data used in reliability calculations. Conclusions: Reliability and availability are still very important. Reliability and availability have always been data driven while valid and relevant data have always been the main problem. Without good data, prognostic reliability is useless in spite of a good reliability model. [ABSTRACT FROM AUTHOR]

Introduction/purpose: At the end of 2019, the Government of the Republic of Serbia adopted the Strategy for the Development of Artificial Intelligence in the Republic of Serbia for the 2020-2025 period. This was a motivation for the author of this paper to try to give an overview of the current artificial intelligence (AI) applications in the field of reliability and maintenance, as well as its future applications. Methods: The overview is done mainly using available literature, mostly from the Science Direct database, using abstracts generally, and in some cases whole papers. Results: The result of this research is an overview of the artificial intelligence applications in the field of reliability and maintenance in the past thirty years. It also showed that AI systems can also be unreliable and need maintenance. Conclusion: Artificial intelligence is and can be applied in reliability and maintenance. The research of available literature showed that AI is more applied in maintenance than in reliability. The progress in AI is inevitable, so it is important to understand its potentials for application in reliability and maintenance as well as its possible drawbacks. [ABSTRACT FROM AUTHOR]

The problem of reliability and availability of the Internet of Things (IoT) from the point of view of the classical approach of reliability assessment using MIL-HDBK 217 is discussed in this paper. With the classical approach of reliability assessment using MIL-HDBK 217, only hardware reliability can be assessed, and the situation with the IoT is more complicated: billions of different things (devices), software programs, and human users are involved (networked). The reliability and availability of the IoT is not only a matter of a failure rate of elements (things), but also protocols, standardization, logistics support and other influences. The relation for the reliability calcuation of an IoT system is proposed. [ABSTRACT FROM AUTHOR]

The article presents the basic information about the overal results, significance, international programme committee and working areas of the 20th DQM International Conference on Dependability and Quality Management ICDQM 2017 (papers printed in Serbian) and 8th DQM International Conference on Life Cycle Engineering and Management (papers printed in English and Russian), which was held under the same acronym ICDQM-2017. The number and structure of papers of both conferences are given in Sections: Military Engineering, Quality Engineering, Reliability Engineering, Industrial Engineering, Systems Engineering, Energy Efficiency and Lean Production, as well as a review of the plenary papers presented by the participants from the Armed Forces and the Ministry of Defense of the Republic of Serbia. This year’s Conference has fewer papers from pаrticipants from the Armed Forces and the Ministry of Defense of the Republic of Serbia compared to the previous conference, but with more papers writen in English language. [ABSTRACT FROM AUTHOR]

The article presents the basic information about the overal results, significance, international programme committee and working areas of the 19th DQM International Conference on Dependability and Quality Management ICDQM 2016 and 7th DQM International Conference on Life Cycle Engineering and Management (papers printed in Serbian, English and Russian), which was held under the same acronym ICDQM-2016. The number and structure of papers of both conferences are given in Sections: Military Engineering, Quality Engineering, Reliability Engineering, Industrial Engineering, Systems Engineering, Energy Efficiency and Lean Production. Only the plenary papers presented by the participants from the Armed forces and the Ministry of Defense of the Republic of Serbia are reviewed. This year's conference has been the best so far regarding the number of papers from pаrticipants from the Armed forces and the Ministry of Defense of the Republic of Serbia. [ABSTRACT FROM AUTHOR]

The article gives an overview of the conference overal results and its significance, presenting the international programme committee and the working areas of the 17th DQM International Conference on Dependability and Quality Management ICDQM 2014 and 5th DQM International Conference on Life Cycle Engineering and Management (papers printed in Serbian, English and Russian), which was held under the same acronym ICDQM-2014. The number and structure of papers presented at both conferences are given while the papers discussed in more detail are only those from the participants from the Armed Forces and the Ministry of Defense of the Republic of Serbia in Sections: Military Engineering, Quality Engineering, Reliability Engineering, Industrial Engineering, Systems Engineering, Energy Efficiency and Lean Production. This year's conference has had the biggest number of papers presented by the participants from the Armed Forces and the Ministry of Defense of the Republic of Serbia so far. [ABSTRACT FROM AUTHOR]