Suchergebnisse

U ovom prikazu date su osnovne informacije o ukupnim rezultatima, značaju, međunarodnom programskom odboru i oblastima rada Međunarodne konferencije upravljanje kvalitetom i pouzdanošću ICDQM. Detaljnije je prikazana ovogodišnja 14. konferencija ICDQM-2011 i 2. konferencija upravljanje i inženjerstvo životnog ciklusa, koja je održana pod istim nazivom ICDQM-2011. Dati su broj i struktura radova i prikazani radovi pripadnika Vojske i Ministarstva odbrane Republike Srbije u plenarnim saopštenjima i sekcijama: inženjerstvo kvaliteta, inženjerstvo pouzdanosti, konkurentno inženjerstvo sistemsko inženjerstvo, vojno inženjerstvo, i neprekidno unapređenje kvaliteta. Skoro pola ovih radova svrstano je u sekciju vojno inženjerstvo. ; The basic information about the overal results, significance, international programme committee and working areas of the International Conference on Dependability and Quality Management ICDQM is presented. There are more details about this year's 14th ICDQM-2011 and 2nd International Conference on Life Cycle Engineering and Management, which was held under the same acronim ICDQM-2011. The number and structure of the papers are given as well as the review of the papers presented as plenary lectures by the participants from the Armed forces and the Ministry of Defense of the Republic of Serbia in the following sections: Quality Engineering, Reliability Engineering, Concurrent Engineering, Systems Engineering, Military Engineering, and Continuous Quality Improvement. Almost a half of these papers are in the Military Engineering Section.

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 data-driven 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.

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.