Саобраћајни факултет [Научни радови] / Faculty of Transport and Traffic Engineering [Scientific papers]

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Contractive Linear Operators and their Applications in F - Cone Metric Fixed Point Theory
(Hikari Ltd., 2010) Aranđelović, Ivan D.; Mišić, Vesna
In this paper we introduce the notion of a F - cone metric space. Furthermore we define and study contractive bounded linear operators on complete F - normed space. We also present some fixed point results on F - cone metric space, with operator’s contractive condition which generalizes some results from [6] and [11].
Integration of Simulation and Lean Tools in Effective Production Systems – Case Study
(Assoc. of Mechanical Eng. and Technicians of Slovenia, 2012) Božičković, Ranko; Radošević, Milan; Ćosić, Ilija; Soković, Mirko; Rikalović, Aleksandar
Production systems that are by their structure designed according to principles of group technology must, despite their perfection, rapidly adapt to changes in surroundings and engage in a battle with their market rivals. First of all, they must get closer to customers and suppliers, representing one of first principles of lean philosophy. It is one of the ways to successfully valorise comparative values with competition, despite its internal restructuring. This paper presents the influence of certain lean tools as well as application of statistical analyses, simulation and graphics tools for achieving greater effectiveness and efficiency of production systems. Application or integration of these tools enables shortening of the production cycle, reduces the degree of complexity of material flows, reduces the supplies and expenditure of energy resources while it creates an increased degree of functionality of the organisation, utilization of workspace etc. Combination of different tools presented in this paper can valorise new technological, organisational and informational achievements in production that will secure an even better position on the market for industrial systems.
QUALITATIVE ANALYSIS OF COAL COMBUSTED IN BOILERS OF THE THERMAL POWER PLANTS IN BOSNIA AND HERZEGOVINA
(Vinča Nuclear Research Institute, Belgrade, Srbija, 2012) ĐURIĆ, Slavko (NIKOLA); STANOJEVIĆ, Petko(ČEDOMIR); ĐURANOVIĆ, Dragan (BORO); BRANKOV, Saša (DIMITRIJE); MILAŠINOVIĆ, Srđan (MIRAŠ)
In this paper we have looked into the qualitative analysis of coals in Bosnia and Herzegovina (B-H). The analysis includes the following characteristics: moisture (W), ash (A), combustible matter (Vg) and lower heating value (Hd). From the statistic parameters we have determined: absolute range (R), arithmetic mean ( X ), standard deviation (S) and variations coefficient (Cv). It has been shown that the coal characteristics (W, A, Vg, Hd) have normal distribution. The analysis show that there are considerable deviations of ash characteristics: moisture (36.23%), ash (34.21%), combustible matter (16.15%) and lower heating value (25.16%) from the mean value which is shown by the variations coefficient (Cv). Large oscilations of mass portions: W, A, Vg and Hd around the mean value can adversely influence the function of a boiler plant and an electric filter plant in thermal power plants in B-H in which the mentioned types of coal burn. Large ash oscilations (34.21%) around the mean value point out to the inability of application of dry procedures of desulphurisation of smoke gasses (FGD) due to the additional quantity of ash. It has been shown that the characteristics of Bosnian types of coal do not deviate a lot from the characteristics of coal in the surrounding countries (coals of Serbia and Monte Negro). The results can be used in analysis of coal combustion in thermal power plants, optimisation of electrical-filtre, reduction of SO2 in smoke gas and other practical problems.
ANNUAL AND SEASONAL VARIATIONS OF INDOOR RADON CONCENTRATION IN SKOPJE, REPUBLIC OF MACEDONIA
(Faculty of Occupational Safety in Niš, 2012) Stojanovska, Zdenka; Boev, Blazo; Žunić, Zora S.; Curguz, Zoran; Januseski, Jovan
This paper presents the results of a survey of indoor radon concentrations in the dwellings of 10 Municipalities in the Skopje: the capital and the largest city of the Republic of Macedonia. The indoor radon concentrations were measured during the four successive seasons from December 2008 to December 2009 using integrating passive alpha track-etch detectors with an exposure period of three months. The annual mean indoor radon concentration in each measuring site was estimated as an arithmetic mean from the four individual measurements. The measurements were completed for 124 dwellings, of which 112 dwellings revealed indoor radon concentrations lower than 200 Bq m−3, and 3 showed radon concentrations in excess of 400 Bq m−3. The annual mean indoor radon concentrations were found to be log-normally distributed, ranging from 18 to 502 Bq m−3. The geometric mean value of the indoor radon concentration in Skopje region was estimated to be 83*/1.94 Bq m−3. The results of analysis of variance showed statistically significant differences in annual mean indoor radon concentrations among the different municipalities (p=0.021). The influence of the factors linked to building characteristics in relation to the annual mean of indoor radon concentration was also a subject to examination. The factors which allow differentiation into subgroups (significance level p<0.05) were: the floor level (p<0.0001), presence of basement (p<0.0001), and type of heating (p=0.004). Seasonal dependence of indoor radon concentration was observed. The minimum indoor radon concentrations were found in the summer season whereas maximum levels were observed in the winter season (p< 0.0001)..
Experimental investigation of pyrolysis process of agricultural biomass mixture
(Budapest University of Technology and Economics, Hungary, 2014) Đurić, Slavko N.; Kaluđerović, Željko Lj.; Kosanić, Tijana R.; Ćeranić, Mirjana B.; Milotić, Milan M.; Brankov, Saša D.
This paper describes an experimental investigation of pyrolysis process of agricultural biomass mixture, without the addition of inert gas. The mixture consists of corn stalk, wheat straw, soy straw and oat straw with equal mass fractions. During the experiment, the mass of biomass sample inside the reactor was 10 g with a particle diameter of 5-10 mm. The sample in the reactor was heated in the temperature range of 24-650ºC at average heating rates of 21, 30 and 54ºC/min. The sample mass before, during and after pyrolysis was determined using a METTLER P1000 digital scale. Experimental results of the sample mass change indicate that the highest yield of pyrolytic gas, achieved at 650ºC, was in the range from 74 to 81%, while char yield ranged from 19 to 26%. Heating rate of biomass mixture sample has significant influence on the pyrolytic gas and char yields. It was determined that higher heating rates in the reactor induce higher yields of pyrolytic gas, while the char mass reduces. Condensation of pyrolytic gas at the end of the pyrolysis process at 650ºC produced 1.3-1.8 g of liquid phase. The results obtained represent a starting basis for determining material and heat balance of pyrolysis process as well as agricultural biomass pyrolysis equipment.
AN INTEGRATED FUZZY AHP AND TOPSIS MODEL FOR SUPPLIER EVALUATION
(University of Belgrade, Serbia, 2016) Stević, Željko; Tanackov, Ilija; Vasiljević, Marko; Novarlić, Boris; Stojić, Gordan
In today’s modern supply chains, the adequate suppliers’ choice has strategic meaning for entire companies’ business. The aim of this paper is to evaluate different suppliers using the integrated model that recognizes a combination of fuzzy AHP (Analytical Hierarchy Process) and the TOPSIS method. Based on six criteria, the expert team was formed to compare them, so determination of their significance is being done with fuzzy AHP method. Expert team also compares suppliers according to each criteria and on the base of triangular fuzzy numbers. Based on their inputs, TOPSIS method is used to estimate potential solutions. Suggested model accomplishes certain advantages in comparison with previously used traditional models which were used to make decisions about evaluation and choice of supplier.
A Hybrid Method for Signalling Transport in GMPLS Control Plane
(Kaunas University of Technology, Lithuania, 2016) Stojanovic, Mirjana D.; Miladic, Suzana D.; Markovic, Goran Z.
This paper addresses the issue of signalling transport in control plane of the Generalized Multi-Protocol Label Switching (GMPLS) network. The two basic methods for establishing control channels in optical networks are the in-fibre-out-of-band and the out-of-fibre. Starting from the analysis of benefits and drawbacks of those methods, we propose and investigate a novel, flexible method for signalling transport, which is based on the analysis of the given network topology and combines the basic methods to achieve a trade-off between requirements for low latency and high reliability. Performance analysis has shown that, with hybrid method, data path setup times are close to the ones achieved with the in-fibre-out-of-band method, while preserving satisfying reliability and flexibility to integrate into multi-domain networks.
MELTING AND CRYSTALLIZATION DSC PROFILES OF DIFFERENT TYPES OF MEAT
(Association of the Chemical Engineers of Serbia, 2017) SAVANOVIĆ, DANICA; GRUJIĆ, RADOSLAV; RAKITA, SLADJANA; TORBICA, ALEKSANDRA; BOZIČKOVIĆ, RANKO
The aim of this study was to test the influence of scanning rate and meat type on the thermo-physical properties of meat and content of the freezable water in frozen meat, using differential scanning calorimetry (DSC). In this study, three types of meat were investigated: beef (M. Longissimus dorsi), pork (M. Longissimus dorsi), and chicken meat (Pectoralis major). The cooling rate affected the onset (Tcon), peak (Tc) and end (Tcend) temperatures of crystallization process of beef meat (p < 0.05). Decreasing cooling rate from 20 to 2°C/min resulted in significant (p < 0.05) change of the crystallization enthalpy (ΔHc) of beef meat, from -220.17 to -168.20 J/g, respectively. Reduction of the heating rate caused significant (p < 0.05) decrease in enthalpy of melting (ΔHm) for beef meat, from 228.87 to 161.13 J/g. The heating rate affected the peak (Tm) and end temperatures (Tmend) of melting process of beef meat (p < 0.05). The type of meat did not have effect on ΔHc and ΔHm as well as temperature of crystallization (Tcon, Tc and Tcend) and temperature of melting (Tm and Tmend) in meat. Significant (p < 0.05) change in freezable water content were recorded between heating rate 20 °C/min and other heating rates, for all three meat types
The Selection ofWagons for the Internal Transport of a Logistics Company: A Novel Approach Based on Rough BWM and Rough SAW Methods
(MDPI, 2017) Stević, Željko; Pamučar, Dragan; Zavadskas, Edmundas Kazimieras; Ćirović, Goran; Prentkovskis, Olegas
The rationalization of logistics activities and processes is very important in the business and efficiency of every company. In this respect, transportation as a subsystem of logistics, whether internal or external, is potentially a huge area for achieving significant savings. In this paper, the emphasis is placed upon the internal transport logistics of a paper manufacturing company. It is necessary to rationalize the movement of vehicles in the company’s internal transport, that is, for the majority of the transport to be transferred to rail transport, because the company already has an industrial track installed in its premises. To do this, it is necessary to purchase at least two used wagons. The problem is formulated as a multi-criteria decision model with eight criteria and eight alternatives. The paper presents a new approach based on a combination of the Simple Additive Weighting (SAW) method and rough numbers, which is used for ranking the potential solutions and selecting the most suitable one. The rough Best–Worst Method (BWM) was used to determine the weight values of the criteria. The results obtained using a combination of these two methods in their rough form were verified by means of a sensitivity analysis consisting of a change in the weight criteria and comparison with the following methods in their conventional and rough forms: the Analytic Hierarchy Process (AHP), Technique for Ordering Preference by Similarity to Ideal Solution (TOPSIS) and MultiAttributive Border Approximation area Comparison (MABAC). The results show very high stability of the model and ranks that are the same or similar in different scenarios.
The perspectives of applying ethanol as an alternate fuel
(Taylor & Francis, 2017) Anđelković, D.; Antić, B.; Vujanić, M.; Subotić, M.; Radovanović, Lj.
The ecological problems caused by traffic are some of the greatest pollution problems in urban environments, making the trend of researching replenishable energy sources more widespread. Ethanol – a liquid fuel gained via agricultural means – is a replenishable energy source. This fuel can completely replace fossil fuel in internal combustion engines. This work will present the main properties of ethanol, the world trend in ethanol production, as well as the possibility of the manufacture and application of ethanol fuel in Serbia.
Novel Integrated Multi-Criteria Model for Supplier Selection: Case Study Construction Company
(MDPI, 2017) Stević, Željko; Pamučar, Dragan; Vasiljević, Marko; Stojić, Gordan; Korica, Sanja
Supply chain presents a very complex field involving a large number of participants. The aim of the complete supply chain is finding an optimum from the aspect of all participants, which is a rather complex task. In order to ensure optimum satisfaction for all participants, it is necessary that the beginning phase consists of correct evaluations and supplier selection. In this study, the supplier selection was performed in the construction company, on the basis of a new approach in the field of multi-criteria model. Weight coefficients were obtained by DEMATEL (Decision Making Trial and Evaluation Laboratory) method, based on the rough numbers. Evaluation and the supplier selection were made on the basis of a new Rough EDAS (Evaluation based on Distance from Average Solution) method, which presents one of the latest methods in this field. In order to determine the stability of the model and the applicability of the proposed Rough EDAS method, an extension of the COPRAS and MULTIMOORA method by rough numbers was also performed in this study, and the findings of the comparative analysis were presented. Besides the new approaches based on the extension by rough numbers, the results are also compared with the Rough MABAC (MultiAttributive Border Approximation area Comparison) and Rough MAIRCA (MultiAttributive Ideal-Real Comparative Analysis). In addition, in the sensitivity analysis, 18 different scenarios were formed, the ones in which criteria change their original values. At the end of the sensitivity analysis, SCC (Spearman Correlation Coefficient) of the obtained ranges was carried out, confirming the applicability of the proposed approaches
CAR EQUIVALENTS DEPENDENCE ON THE LONGITUDINAL ROAD GRADIENT ON TWO-LANE ROADS IN BOSNIA AND HERZEGOVINA
(Faculty of Transport Sciences, University of Zagreb, 2017) SUBOTIĆ, MARKO; TUBIĆ, VLADAN
The main objective of this paper, based upon the extensive empirical research of free flow in local conditions, is to quantify the unfavourable impact of the flow structure on the road capacity using PCE (Passenger Car Equivalent) values as a function of longitudinal grade. Based on literature reviews and empirical research, it has been proved that the PCE value for all vehicle classes is directly correlated with the road gradient. The PCE values in free flow conditions have been determined for the approved vehicle classes. Based on the measured values, models for determining the average PCE value depending on the upward grade on two-lane roads have been developed. Comparison of the developed models in conditions of free traffic flow with the Highway Capacity Manual (HCM) models has shown lower PCE values in this research. Models for the percentage of PCE values PCE15%, PCE50% and PCE85% have also been established.
EFFICIENCY IN ORGANIZING TRANSPORT ROUTES AS PART OF THE CITY WASTE MANAGEMENT: PROPOSAL FOR INNOVATIVE WAY OF TRANSPORT
(Faculty of Engineering, University of Kragujevac, Serbia, 2017) Novarlić, Boris; Stević, Željko; Đurić, Predrag; Vasiljević, Marko
Research presented in this paper is primarily focused on the theoretical model of transportation routes' optimization, by means of using an innovative approach, projected to countries in transition. This paper presents part of the research, whose main parameters are directly related to basic research hypothesis, and are result of author's stay in vocational training in the Japanese city of Osaka, in the period 12.01. - 07.03.2015. Based on the transport routes' calculations, we came to an answer set in the research problem of this paper, as well as to the optimization of costs and avoiding a "downtime" during the collection of waste conducted by utility companies, who will be the beneficiaries of this model. The primary goal of the work is to, on the base of knowledge and experience acquired in Japan, create an Optimization Model of Transport Routes adjusted to countries in transition (Bosnia and Herzegovina and others), which will, in the long run, be of benefit to these countries, in terms of a sustainable waste management
PREDICTION OF LONG-TERM INDOOR RADON CONCENTRATION BASED ON SHORT-TERM MEASUREMENTS
(Vinča Institute of Nuclear Sciences, 2017) STOJANOVSKA, Zdenka; IVANOVA, Kremena; BOSSEW, Peter; BOEV, Blazo; ŽUNIĆ, Zora S.; TSENOVA, Martina; ĆURGUZ, Zoran; KOLARŽ, Predrag; ZDRAVKOVSKA, Milka; RISTOVA, Mimoza
We present a method for the estimation of annual radon concentration based on short-term (three months) measurements. The study involves results from two independent sets of indoor radon concentration measurements performed in 16 cities of the Republic of Macedonia. The first data set contains winter and annual radon concentration obtained during the National survey in 2010 and the second, contains only the radon concentration measured during the winter of 2013. Both data sets pertain to radon concentration from the same cities and have been measured applying the same methodology in ground floor dwellings. The results appeared to be consistent and the dispersion of radon concentration was low. Linear regression analysis of the radon concentration measured in winter of 2010 and of the 2010 annual radon concentration revealed a high coefficient of determination R2 = 0.92, with a relative uncertainty of 3%. Furthermore, this model was used to estimate the annual radon concentration solely from winter-term measurements performed in 2013. The geometrical mean of the estimated annual radon concentration of the 2013: radon concentration (A-2013) =98 Bqm-3 was almost equal to the geometrical mean of the annual radon concentration from the 2010, radon concentration (A-2010) = 99 Bqm-3. Analysis of the influence of building characteristics, such as presence/absence of a basement in the building, or the dominant building material on the estimated annual radon concentration is also reported. Our results show that a low number of relatively short-term radon measurements may produce a reasonable insight into a gross average obtained in a larger survey.
Adaptive Fuzzy Model for Determining Quality Assessment Services in the Supply Chain
(Faculty of Mechanical Engineering in Slavonski Brod; Faculty of Electrical Engineering, Computing and Information Technologies Osijek; Faculty of Civil Engineering and Architecture Osijek, 2018) TOMAŠEVIĆ, Milovan; RALEVIĆ, Nebojša; Stević, Željko; MARKOVIĆ, Vidan; TEŠIĆ, Zdravko
The problem that is being addressed in this paper is to improve the services provided by company and achieve better communication between companies in the supply chain. Therefore, a qualitative assessment of service has been required. This service is characterized by a group of parameters, which are often inaccurately estimated values, as well as their importance for the evaluation system. This is often the result of assessor´s uncertainty, variability of conditions, etc. Therefore, in the context of AM4SCM (Adaptive Model for Supply Chain Management) a mathematical model for evaluating the quality of services has been developed (FAM4QS - Fuzzy Aggregation Method for Quality Service) which is based on the fuzzy arithmetic. Selection of different values for the degrees of fuzzy power mean, which are used for evaluation of parameters or groups of parameters of the system and the service, contributes to a better assessment and it is due to the varying nature of the parameters. The observed model was simulated on 17 supply chains on the territory of the Republic of Serbia. Service quality assessment is carried out based on data from the user requirements - participants of supply chains binding the so-called fuzzy aggregation function.
Assessment of Conditions for Implementing Information Technology in aWarehouse System: A Novel Fuzzy PIPRECIA Method
(MDPI, 2018) Stević, Željko; Stjepanović, Željko; Božičković, Zdravko; Kumar Das, Dillip; Stanujkić, Dragiša
The application of information technology in all areas represents a significant facilitation of all business processes and activities. A competitive business system is hardly imaginable without adequate information technology. Therefore, this paper evaluates the conditions for the implementation of barcode technology in a warehouse system of a company for the manufacture of brown paper. SWOT (Strengths,Weaknesses, Opportunities, Threats) matrix was formed with a total of 27 elements based on which the benefits of the implementation of barcode technology in the warehouse system need to be analysed. For this purpose, a new fuzzy PIPRECIA (PIvot Pairwise RElative Criteria Importance Assessment) method has been developed to evaluate all elements in SWOT matrix. In addition, a part of the new developed approach includes new fuzzy scales for criterion assessment that are adapted to the methodology required by the fuzzy PIPRECIA method. To determine the consistency of the method, Spearman and Pearson correlation coefficients are applied. The results obtained in this study show that weaknesses are most noticeable in the current system. By implementing barcode technology, it is possible to create opportunities defined in SWOT matrix, which, in a very efficient way, allow elimination of the current weaknesses of the system
APPLICATION OF THE ANFIS MODEL IN ROAD TRAFFIC AND TRANSPORT ATION : A LITERATURE REVIEW FROM 1993 TO 2018
(2018) Stojčić, Mirko
The paper’s focus is on researching the application of the ANFIS (Adaptive Neuro Fuzzy Inference System) model in traffic and transport through a review of relevant papers. The ANFIS, as an element of artificial intelligence, is widely used in intelligent transport systems. All collected papers are divided into 7 sub-areas, namely: 1) vehicle routing, 2) traffic control at intersections with light signaling, 3) vehicle steering and control, 4) safety, 5) modeling of fuel consumption, engine performance and exhaust emissions, 6) traffic congestion prediction, and 7) other applications. For each sub-area, the analysis of the proposed models is performed with a tabular overview of respective input and output variables, while in the third section the discussion of the results is given. It is found that the steering and control of vehicles represent a sub-area with the highest percentage in the total number of examined papers, while the security applications take second place
ANALYSIS OF IMPACT OF METEOROLOGICAL CONDITIONS ON HUMAN FACTORS IN ESTIMATING THE RISK OF RAILWAY ACCIDENTS
(VGTU Press, 2018) ALEKSIĆ, Dejan; MARKOVIĆ, Milan; VASILJEVIĆ, Marko; STOJIĆ, Gordan; PAVLOVIĆ, Norbert; TANACKOV, Ilija
This paper explores the accidents that occurred in the railway system of Serbian Railways from 2006 to 2012. The total number of the sample observed includes 3983 accidents, of which 2725 or 68.41% were caused by the human factor. One of the major contemporary problems – global climate change and the increase of average temperatures – has not yet been considered in the context of external factors for increasing the risk of accidents. The air pressure has become accepted as an external factor, in addition to the air temperature. It is assumed that temperature and air pressure have a significant impact on the risk of railway accidents occurrence (taking only accidents caused by a human factor into account). This assumption was made based on reduced cognitive abilities of railway staff as a result of extreme differences in temperature and air pressure. In this paper, the emphasis is put on Railway Crossings (RC) as sites where two forms of traffic intersect, since it is noticed that certain weather conditions have a significant effect on occurrence of accidents. The analysis of the observed sample of 266 accidents that occurred on RC shows that the risk of accident occurrence is significantly higher at low temperatures (from –10 to 0 °C) and high air pressures (p > 1010 mbar), the risk being 2.17, that is 2.41 times higher than in standard (average) weather conditions. Additionally, in the case of high temperatures (above 20 °C) and low air pressures (p < 1010 mbar) the risk rises to 2.07 in comparison to average weather conditions. The absolute risk of railway accident occurrence appears at temperatures below –10 °C and air pressures higher than 1010 mbar, as well as at high temperatures (T > 25 °C) and air pressures lower than 1010 mbar.
A New Methodology for Improving Service Quality Measurement: Delphi-FUCOM-SERVQUAL Model
(MDPI, 2018) Prentkovskis, Olegas; Erceg, Živko; Stević, Željko; Tanackov, Ilija; Vasiljević, Marko; Gavranović, Mladen
The daily requirements and needs imposed on the executors of logistics services imply the need for a higher level of quality. In this, the proper execution of all sustainability processes and activities plays an important role. In this paper, a new methodology for improving the measurement of the quality of the service consisting of three phases has been developed. The first phase is the application of the Delphi method to determine the quality dimension ranking. After that, in the second phase, using the FUCOM (full consistency method), we determined the weight coefficients of the quality dimensions. The third phase represents determining the level of quality using the SERVQUAL (service quality) model, or the difference between the established gaps. The new methodology considers the assessment of the quality dimensions of a large number of participants (customers), on the one hand, and experts’ assessments on the other hand. The methodology was verified through the research carried out in an express post company. After processing and analyzing the collected data, the Cronbach alpha coefficient for each dimension of the SERVQUAL model for determining the reliability of the response was calculated. To determine the validity of the results and the developed methodology, an extensive statistical analysis (ANOVA, Duncan, Signum, and chi square tests) was carried out. The integration of certain methods and models into the new methodology has demonstrated greater objectivity and more precise results in determining the level of quality of sustainability processes and activities.
EVALUATION OF THE RA ILWAY MANAGEMENT MOD EL BY USING A NEW INTEG RATED MODEL DELPHI SWARA MABAC
(2018) Vesković, Slavko; Stević, Željko; Stojić, Gordan; Vasiljević, Marko; Milinković, Sanjin
The functioning of each traffic system depends to a great extent on the way the rail transport system operates. Taking into account the aspect of market turbulence and the dependence on adequate delivery when it comes to freight transport and traffic in accordance with a yearly Timetable in passenger traffic, transport policies are changing with time. Therefore, this document is considering the railway management models on the territory of Bosnia and Herzegovina. For the purpose of evaluating these models, a new hybrid model has been applied, i.e. the model which includes a combination of the Delphi, SWARA (Step-Wise Weight Assessment Ratio Analysis) and MABAC (Multi-Attributive Border Approximation Area Comparison) methods. In the first phase of the study, the criteria ranking was determined based on 16 expert grades used in the Delphi Method. After that, a total of 14 decision-makers determined the mutual criteria impact, which is a prerequisite for the application of the SWARA Method used to determine the relative weight values of the criteria. The third phase involves the application of the MABAC Method for evaluating and determining the most suitable variant. In addition, a sensitivity analysis involving the application of the ARAS, WASPAS, SAW and EDAS methods has been performed, thus verifying the previously obtained variant ranking

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