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Vol. 9 No. 1 (2019): JITA - APEIRON

Nataša Đalić, Edit Terek, Mina Paunović, Mihalj Bakator

THE IMPORTANCE OF INFORMATION TECHNOLOGIES IN MANAGING HUMAN POTENTIALS OF THE LOGISTIC CENTERS OF THE REPUBLIC OF SRPSKA

Original scientific paper

DOI:https://doi.org/ 10.7251/JIT1901036DJ

Abstract

Information technologies within logistic systems and their impact on economic, social and personal development have become an important subject of scientific research over the past decades. Theoretical and empirical research has shown the need to achieve and exploit positive outcomes (organization expansion, efficiency, effectiveness, competitive position) adoption and implementation of information technologies in logistics centers. At the time of great technological innovations, the human resources management plays an important role in achieving the competitive advantage of logistics centers on the market. With the development of new technologies, there are also changes in the way human resources management is handled within companies. The theme of this paper is the research of the connection between the importance of information technologies in managing human potentials and the performance of logistics centers. Information technologies have a growing presence in the management of human resources within logistics centers, and therefore their application achieves a great competitive advantage on the market. The aim of this paper is to use the analysis and descriptive methods to find a solution to the importance of information technologies in human resources management within a logistics center with the greatest focus on ERP systems.

Keywords: information technology, human resources management, logistics center, ERP system.

Vol. 26 No. 2 (2023): JITA - APEIRON

Igor Shubinsky, Alexey Ozerov

Application of Artificial Intelligence Methods for the Prediction of Hazardous Failures

Original scientific paper

Abstract

The availability of real-time data on the state of railway facilities and the state-of-the art technologies for data collection and analysis allow transition to the fourth generation maintenance. It is based on the prediction of the facility functional safety and dependability and the risk-oriented facility management. The article describes an approach to assessing the risks of hazardous facility failures using the latest digital data processing methods. The implementation of this approach will help set maintenance objectives and contribute to the efficient use of resources and the reduction of railway facility managers’ expenditures.

Keywords: predictive analysis, maintenance, functional safety, Big Data, Data Science, risk indicators.

Vol. 26 No. 2 (2023): JITA - APEIRON

Igor Shubinsky, Alexey Ozerov

Application of Artificial Intelligence Methods for the Prediction of Hazardous Failures

Original scientific paper

Abstract

The availability of real-time data on the state of railway facilities and the state-of-the art technologies for data collection and analysis allow transition to the fourth generation maintenance. It is based on the prediction of the facility functional safety and dependability and the risk-oriented facility management. The article describes an approach to assessing the risks of hazardous facility failures using the latest digital data processing methods. The implementation of this approach will help set maintenance objectives and contribute to the efficient use of resources and the reduction of railway facility managers’ expenditures.

Keywords: predictive analysis, maintenance, functional safety, Big Data, Data Science, risk indicators.