An underground mine is a very complex production system within the mining industry. Building up the underground mine development system is closely related to the installation of support needed to provide the stability of mine openings. The selection of the type of support system is recognized as a very hard problem and multi-criteria decision making can be a very useful tool to solve it. In this paper we developed a methodology that helps mining engineers to select the appropriate support system with respect to geological conditions and technological requirements. Accordingly, we present a novel hybrid model that integrates the two following decision-making components. First, this study suggests a new approach for calculating the weights of criteria in an objective way named the Modified Preference Selection Index (MPSI) method. Second, the Magnitude of the Area for the Ranking of Alternatives (MARA) method is proposed as a novel multi-criteria decision-making technique for establishing the final rank of alternatives. The model is tested on a hypothetical example. Comparative analysis confirms that the new proposed MPSI–MARA model is a very useful and effective tool for solving different MCDM problems.

During the last two decades there is a growing awareness of the importance of introducing organic agricultural production in Serbia due to issues of health, environmental protection and need for more sustainable agriculture. There is a need for education of small farmers on the possibilities of organic production and significance of information technologies for education, production and marketing. This paper aims to examine the perception on the possibilities of organic production and ICT use concerning their level of education. The study has included 143 farmers from Raška district, municipality Kraljevo. The statistical ANOVA analysis has been done by using the software package SPSS18 to explore an impact the education has on the perception of small farmers on the use of information technologies in education, production, and marketing of agricultural products. The results show statistically significant difference in the perception of small farmers on the usage of information technologies regarding their level of education.

Cloud technology is a system that enables the use of IT resources more efficiently, simply and cheaply. The cost-effectiveness of applying this technology is reflected in the optimization of operating costs, the optimization of capital investments, as well as the reduction of costs. Electronic education as a system began to "live" in the late 20th century in the form of IT applications. Nowadays, these applications are in a new environment - Cloud Computing. The amount of data that needs to be processed grows and has a tendency to accelerate. This huge amount of data is necessary to store, transfer and process in a unit of time this requires the development of certain systems. The given systems that enable the management of the given resources are big data systems, internet of things, cloud platforms, virtualization, artificial intelligence, 5g, etc. The platform structure that carries these systems is cloud computing. The use of cloud computing as a new technology for the realization of e-learning enhances educational and research systems, in terms of storage and flow capacity, data processing speed and availability of information with the aim of a better educational environment with greater controllability, is more economical, efficient and safer in relation to the traditional concept. The paper presents the impact of ICT and cloud computing on educational systems, which should be part of new trends due to the advantages that given technology brings.

Agriculture is the world’s most important industry. According to the structure, Šumadija district is mainly composed of arable land and gardens, which make up 69%. The increased amount of COVID-19 waste generated from medical activities in rural areas needs to be properly handled due to its contagious, even lethal properties. The aim of this study is an analysis of two drivers through the generation of COVID-19 waste, Central and local treatment site, proposed transport routes, and total cost in Šumadija district. Results showed the economic costs of transportation increased 2.5 times compared to before and after the emergence of the COVID-19 pandemic. Also, the increase in health risk was correlated to the increase in the per capita cost of transportation along the transportation routes. Analyses of human health risks and detailed financial calculations gave a clear insight in infectious waste management possible influence on agriculture.

When it comes to making of certain decisions everyday/routine or specific, which often imply planning, programming, selection of the most favorable alternative, financing or realization of business task, it is mostly based on the data analysis. Criteria which are imposed on that occasion are diverse and sometimes mutually opposed. Problems posed to the decision maker are often unstructured so there is no mathematical algorithm for solving them, and often there is a question of objectivity in choosing the optimal solution.The subject of this work is the use of Excel Solver in finding the optimal choice of products in the company which is engaged in trade of computer equipment, considering sales trends, available storage and human capacities as well as the financial limitations. The fundamentals of linear programming are presented with the concrete example of sales of the desktop computers, laptop computers and tablet appliances, and their implementation presents the base of the use of the Excel Solver.