Прегледај по Аутор "Radović, Dunja"

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    ANFIS MODEL FOR DETERMININ G THE ECONOMIC ORDER QUANTITY
    (2018) Sremac, Siniša; Tanackov, Ilija; Kopić, Miloš; Radović, Dunja
    The determination of the economic order quantity is important for the rational realization of the logistics process of transport, manipulation and storage in the supply chain. In this paper an expert model for the determination of the economic order quantity has been developed. The model has been developed using the hybrid method of artificial intelligence Adaptive neuro-fuzzy inference systems - ANFIS. It has been used for modeling a complex logistics process in which it is difficult to determine the interdependence of the presented variables applying classical methods. The hybrid method has been applied to take advantages of the individual methods of artificial intelligence: fuzzy logic and neural networks. Experience of an experts and information on the operations of the company for a certain group of items have been used to form the model. Analysis of the validity of the model results was performed on the basis of the average relative error and it has showed that the model imitates the work of the expert in the observed company with great accuracy. Sensitivity analysis has been applied which indicates that the model gives valid results. The proposed model is flexible and can be applied to various types of goods in supply chain management
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    COMPARATIVE ANALYSIS OF CRITICAL HEADWAY ESTIMATION AT URBAN SINGLE-LANE ROUNDABOUTS
    (2022) Radović, Dunja; MOHAN, Mithun; BOGDANOVIĆ, Vuk
    According to models commonly used in practice, the capacity of roundabouts largely depends on the value of critical headway. The value of critical headway depends on the characteristics of vehicles, driving conditions, and geometric characteristics of intersections, but also on driver behaviour. Driver behaviour is the result of many factors that depend on the influence of the local environment, driver habits, mentality, etc. Accordingly, to calculate the capacity of roundabouts within the operational and planning analyses of roundabouts more accurately, it is necessary to use data that correspond to local conditions. In this paper, the critical headway was estimated at five urban single-lane roundabouts using five methods: Harders’, Logit, Raff’s, Wu’s, and the maximum likelihood method. In order to determine which of the stated methods provides the most realistic estimate of critical headway, a comparison of field capacity values with theoretical capacity values was performed. Based on the comparative analysis performed in MATLAB, as well as the calculation of percentage prediction error, it was found that the Harders' method provides the most accurate estimate of critical headway at observed roundabouts in two cities in Bosnia and Herzegovina. Due to the similarity in the design of roundabouts and driver behaviour, the results obtained in this paper can be applied in the surrounding countries, i.e., Southeast Europe.
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    Measuring Performance in Transportation Companies in Developing Countries: A Novel Rough ARAS Model
    (MDPI, 2018) Radović, Dunja; Stević, Željko; Pamučar, Dragan; Zavadskas, Edmundas Kazimieras; Badi, Ibrahim; Antuchevičiene, Jurgita; Turskis, Zenonas
    The success of any business depends fundamentally on the possibility of balancing (symmetry) needs and their satisfaction, that is, the ability to properly define a set of success indicators. It is necessary to continuously monitor and measure the indicators that have the greatest impact on the achievement of previously set goals. Regarding transportation companies, the rationalization of transportation activities and processes plays an important role in ensuring business efficiency. Therefore, in this paper, a model for evaluating performance indicators has been developed and implemented in three different countries: Bosnia and Herzegovina, Libya and Serbia. The model consists of five phases, of which the greatest contribution is the development of a novel rough additive ratio assessment (ARAS) approach for evaluating measured performance indicators in transportation companies. The evaluation was carried out in the territories of the aforementioned countries in a total of nine companies that were evaluated on the basis of 20 performance indicators. The results obtained were verified throughout a three-phase procedure of a sensitivity analysis. The significance of the performance indicators was simulated throughout the formation of 10 scenarios in the sensitivity analysis. In addition, the following approaches were applied: rough WASPAS (weighted aggregated sum product assessment), rough SAW (simple additive weighting), rough MABAC (multi-attributive border approximation area comparison) and rough EDAS (evaluation based on distance from average solution), which showed high correlation of ranks by applying Spearman’s correlation coefficient (SCC).