Прегледај по Аутор "Đorđević, Aleksandar"

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    Biothermal conditions on Mt. Zlatibor based on thermophysiological indices
    (Institute for Biological Research, Serbia, 2017) Pecelj, Milica; Đorđević, Aleksandar; Pecelj, Milovan R.; Pecelj-Purković, Jelena; Filipović, Dejan; Šećerov, Velimir
    This paper presents part of the research in the field of human bioclimatology and refers to biothermal conditions in different geographical environments in Serbia: an urban area and a mountain of medium height. The goal of the paper was to show bioclimatic differences during the summer between the city of Belgrade (116 m a.s.l.) and the mountain resort of Zlatibor (1498 m a.s.l.). The basic principle of bioclimatic analysis is the human heat balance between man and environment. This methodological approach is a combination of physiological and meteorological parameters that result in thermophysiological bioclimatic indices: heat load (HL) in man and the Universal Thermal Climate Index (UTCI). For this analysis, weather data for July, as the warmest month, was obtained, using daily meteorological data for the decade from 2000 to 2010. Results for July indicate a considerable difference between the two abovementioned environments. HL in Belgrade was dominated by degrees of comfort “hot” and “extremely hot, with the highest value of 4.540, while for Zlatibor the dominant degree of comfort was “warm”. The UTCI in Belgrade has dominated by strong heat stress and moderate heat stress, compared to Zlatibor where the UTCI is dominated by moderate heat stress. In addition, a significant part of the monitored decade on Mt. Zlatibor was without heat stress, with the exception of 2006 and 2007, indicating favorable biothermal characteristics. Therefore, compared to Belgrade, with its considerably lower overall heat stress Zlatibor has the characteristics of a site with favorable bioclimatic qualities.
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    EDUCATING STUDENTS FROM WBC TO IMPROVE ENTREPRENEURIAL COMPETENCIES
    (Faculty of Engineering, University of Kragujevac, Center for Quality, 2018) Gojković, Ranka; Nestić, Snežana; Moljević, Slaviša; Đorđević, Aleksandar; Aleksić, Aleksandar; Arsovski, Slavko; Stefanović, Miladin; Tadić, Danijela
    The development of entrepreneurial capacities is one of the key objectives of EU policy. There is an increasing awareness that entrepreneurial skills, knowledge and attitudes can be learned. This leads to the ever more noticeable development of an entrepreneurial mindset and entrepreneurial culture in individuals and society as a whole. Partly because of the current crisis and high unemployment, the labor market is increasingly in demand for multidisciplinary engineers with additional skills. Engineering education is therefore faced with new challenges that require a higher level of entrepreneurial competencies. This paper presents the influence of education in the field of entrepreneurship on improvement of entrepreneurial competences among students of engineering disciplines.
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    Modelling and Enhancement of Organizational Resilience Potential in Process Industry SMEs
    (MDPI, 2015) Arsovski, Slavko; Putnik, Goran; Arsovski, Zora; Tadić, Danijela; Aleksić, Aleksandar; Đorđević, Aleksandar; Moljević, Slaviša
    The business environment is rapidly changing and puts pressure on enterprises to find effective ways to survive and develop. Since it is almost impossible to identify the multitude of complex conditions and business risks, an organization has to build its resilience in order to be able to overcome issues and achieve long term sustainability. This paper contributes by establishing a two-step model for assessment and enhancement of organizational resilience potential oriented towards Small and Medium Enterprises (SMEs) in the process industry. Using a dynamic modelling technique and statistical tools, a sample of 120 SMEs in Serbia has been developed as a testing base, and one randomly selected enterprise was used for model testing and verification. Uncertainties regarding the relative importance of organizational resilience potential factors (ORPFs) and their value at each level of business are described by pre-defined linguistic expressions. The calculation of the relative importance of ORPFs for each business level is stated as a fuzzy group decision making problem. First, the weighted ORPFs’ values and resilience potential at each business level are determined. In the second step, near optimal enhancement of ORPFs’ values is achieved by applying a genetic algorithm (GA).