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Multiple criteria decision making (MCDM) is a supporting tool which is widely spread in different areas of science and industry. Many researchers have confirmed that MCDM methods can be useful for selecting the best solution in many different problems. In this paper, two novel methods are presented and applied on existing decision-making processes in the mining industry. The first method is multiple criteria ranking by alternative trace (MCRAT) and the second is ranking alternatives by perimeter similarity (RAPS). These two novel methods are demonstrated in decision-making problems and compared with the ranking of the same alternatives by other MCDM methods. The mining process often includes drilling and blasting operations as the most common activities for exploitation of raw materials. For optimal blasting design it is important to select the most suitable parameters for the blasting pattern and respect characteristics of the working environment and production conditions. By applying novel methods, how to successfully select the most proper blasting pattern respecting all conditions that must be satisfied for economic aspects and the safety of employees and the environment is presented.
Katarina Urošević; Zoran Gligorić; Igor Miljanović; Čedomir Beljić; Miloš Gligorić. Novel Methods in Multiple Criteria Decision-Making Process (MCRAT and RAPS)—Application in the Mining Industry. Mathematics 2021, 9, 1980 .
AMA StyleKatarina Urošević, Zoran Gligorić, Igor Miljanović, Čedomir Beljić, Miloš Gligorić. Novel Methods in Multiple Criteria Decision-Making Process (MCRAT and RAPS)—Application in the Mining Industry. Mathematics. 2021; 9 (16):1980.
Chicago/Turabian StyleKatarina Urošević; Zoran Gligorić; Igor Miljanović; Čedomir Beljić; Miloš Gligorić. 2021. "Novel Methods in Multiple Criteria Decision-Making Process (MCRAT and RAPS)—Application in the Mining Industry." Mathematics 9, no. 16: 1980.
Accurate metal price forecasting is the precondition for optimal and sustainable mine production planning. This paper combined two methods for time series analysis. The developed model represents the combination of the Grey System Theory and a Stochastic differential equation. More precisely, we added stochastic term to the first-order whitenization differential equation. Solution of this equation represents the time response function which is capable of creating artificial evolving paths of the metal price. The simulation process resulted in a distribution and adequate expected value at every single point. Further, model efficiency was increased by adding residuals modeled by the Singular Spectrum Analysis method. The model was tested on the monthly lead metal price series. Mean absolute percentage error is 4.37% and the model can be classified as a high-performance model.
Zoran Gligorić; Miloš Gligorić; Dževdet Halilović; Čedomir Beljić; Katarina Urošević. Hybrid Stochastic-Grey Model to Forecast the Behavior of Metal Price in the Mining Industry. Sustainability 2020, 12, 6533 .
AMA StyleZoran Gligorić, Miloš Gligorić, Dževdet Halilović, Čedomir Beljić, Katarina Urošević. Hybrid Stochastic-Grey Model to Forecast the Behavior of Metal Price in the Mining Industry. Sustainability. 2020; 12 (16):6533.
Chicago/Turabian StyleZoran Gligorić; Miloš Gligorić; Dževdet Halilović; Čedomir Beljić; Katarina Urošević. 2020. "Hybrid Stochastic-Grey Model to Forecast the Behavior of Metal Price in the Mining Industry." Sustainability 12, no. 16: 6533.
The appearance of interest of the world's most important mining companies i for investment in Serbia imposes the problem of harmonization of domestic legislation with foreign ones. In this paper, specific categorization and classification of mineral raw materials, which do not match in domestic and foreign practice, are treated. The existence of such a conflict of criteria in use for categorization and classification can lead to misunderstanding and create certain complications in business. The following sections outline some of the disagreements that are present in comparing our regulations with the world ones.
Jelena Zakonović; Katarina Urošević; Radmila Gaćina. The impact of calculation of resources and reserves on mining activity in Serbia. Podzemni radovi 2019, 73 -79.
AMA StyleJelena Zakonović, Katarina Urošević, Radmila Gaćina. The impact of calculation of resources and reserves on mining activity in Serbia. Podzemni radovi. 2019; (35):73-79.
Chicago/Turabian StyleJelena Zakonović; Katarina Urošević; Radmila Gaćina. 2019. "The impact of calculation of resources and reserves on mining activity in Serbia." Podzemni radovi , no. 35: 73-79.
This paper gives a brief overview of the sepiolite deposits, the basic properties, and the possibilities of using this mineral. Particular attention is paid to sepiolites from domestic production, especially the use of sepiolites suitable for the development of small businesses and technologies, with a focus on environmental protection. Aim of this paper is to point out importance of this mineral and to draw attention to the use of domestic raw materials. With appropriate mechanical and chemical pretreatments, sepiolite is shown to be useful in following applications: NCR paper, drilling fluids, absorbents, carriers for chemicals, animal nutrition, agriculture, decolorising agents, cosmetics and pharmaceutical uses, etc.
Radmila Gaćina; Katarina Urošević; Jelena Zakonović. Sepiolite -a by-product of exploitation as a potential raw material in Serbian industry. Podzemni radovi 2019, 81 -91.
AMA StyleRadmila Gaćina, Katarina Urošević, Jelena Zakonović. Sepiolite -a by-product of exploitation as a potential raw material in Serbian industry. Podzemni radovi. 2019; (35):81-91.
Chicago/Turabian StyleRadmila Gaćina; Katarina Urošević; Jelena Zakonović. 2019. "Sepiolite -a by-product of exploitation as a potential raw material in Serbian industry." Podzemni radovi , no. 35: 81-91.
Mining is a global industry that is of great importance for every product which is used by human. For mining, process efficiency, reducing production downtime, increasing profitability are all very important. Soft computing technologies (SC) are helping in the process of transforming the mining industry into a safer and more environmental friendly industry, but keeping in mind the financial aspect as well. In this paper some of fields of blasting activities in which the SC methods have been applicated, will be presented. Trough the following chapters some of the most significant researches will be reviewed.
Katarina Urošević; Jelena Zakonović; Jelena Ignjatović; Radmila Gaćina. Different aspects of soft computing methods application for blasting in mining. Podzemni radovi 2019, 65 -71.
AMA StyleKatarina Urošević, Jelena Zakonović, Jelena Ignjatović, Radmila Gaćina. Different aspects of soft computing methods application for blasting in mining. Podzemni radovi. 2019; (35):65-71.
Chicago/Turabian StyleKatarina Urošević; Jelena Zakonović; Jelena Ignjatović; Radmila Gaćina. 2019. "Different aspects of soft computing methods application for blasting in mining." Podzemni radovi , no. 35: 65-71.