Саобраћајни факултет [Научни радови] / Faculty of Transport and Traffic Engineering [Scientific papers]
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- СтавкаCalculation of the value of the critical line using multiple zeta functions(AIMS Press, 2023) Tanackov, Ilija; Stević, ŽeljkoNewton’s identities of an infinite polynomial with complex conjugate roots n−( +it) and n−( it) are multiple zeta functions for n 1, ), R and t R. All Newton’s identities can be represented by Macdonald determinants. In a special case of the Riemann hypothesis, the multiple zeta function of the first order is equal to zero, ( +it)+ ( it)=0. The special case includes all non trivial zeros. The value of the last, infinite multiple zeta function, in the special case, changes the structure of the determinant that can be calculated. The result is the reciprocal of the factorial value (n!) 1. The general value of the infinite multiple zeta function is calculated based on Vieta’s rules and is equal to (n!) 2 . The identity based on the relation of the special case and the general case (n!) 1=(n!) 2 is reduced to the equation 1= 2 . The value of the critical line for all non trivial zeros is singular, =½.
- СтавкаSupply Chain Management (SCM) Breakdowns and SCM Strategy Selection during the COVID-19 Pandemic Using the Novel Rough MCDM Model(Hindawi, 2023) Stević, Željko; Ulutas, Alptekin; Korucuk, Selçuk; Memis, Salih; Demir, Ezgi; Topal, Ays¸e; Karamas¸a, Ça˘glarSupply chain management (SCM) is deeply a3ected by the COVID-19 pandemic besides breakdowns occurred in all sectors. Nowadays, managers need techniques for protecting supply chains from serious and costly disruptions, establishing permanent relationships with the customers and partners and preventing breakdowns throughout the process. Each
- СтавкаAssessment of the LPI of the EU countries using MCDM model with an emphasis on the importance of criteria(Inderscience Enterprises Ltd, 2023) Miškić, Smiljka; Stević, Željko; Tadić, Snežana; Alkhayyat, Ahmed; Krstić, MladenThe World Bank calculates the Logistics Performance Index (LPI) to determine the quality of the logistics system in 160 countries. The LPI analyses differences between countries in six dimensions. When calculating the LPI, the World Bank considers these six dimensions with equal importance. This paper aims to develop an integrated evaluation model of the logistics performance index of European Union (EU) countries with an emphasis on sensitivity analysis, which implies a change in the importance of criteria. By applying the MEREC (MEthod based on the Removal Effects of Criteria) method, the weight values of the six criteria were calculated. By applying the MARCOS (Measurement of alternatives and ranking according to COmpromise solution) method, 27 member states of the European Union (EU) were ranked. According to the integrated model results, Germany is the bestranked country according to the logistics performance index. The sensitivity analysis shows that the weight values of the observed criteria affect the ranking results of the EU countries. Therefore, it is necessary to modify the evaluation of LPI, taking into account the importance of the criteria, and considering the real needs of the countries.
- СтавкаEvaluating the efficiency of a transport company applying an objective-subjective model Open Access(Taylor Francis, 2022) Miškić, Smiljka; Stević, Željko; Marinković, DraganThe main goal of every company is to gain as much profit as possible, and a very important goal is also to obtain a competitive advantage in the market. In this paper, it has been developed and applied an integrated model, which is based on a PCA-DEA-MCDM approach, with the aim of evaluating the efficiency of a transport company from Bosnia and Herzegovina. At the very beginning, using the PCA (Principal Component Analysis)–DEA (Data Envelopment Analysis) model, efficient and inefficient business years were identified, and then, using CRITIC (Criteria Importance Through Inter Criteria Correlation) and the Entropy method, weight values of defined parameters were determined. After that, the decision-making units were ranked using MARCOS (Measurement Alternatives and Ranking according to the Compromise Solution), but also by applying three other ranking methods in the section of sensitivity analysis. In addition, the sensitivity analysis includes the formation of scenarios of changes in weight values of five most significant criteria and the calculation of SCC and WS correlation coefficients. The application of this integrated model, in addition to identifying efficient / inefficient years of operation, enables the identification of influencing factors of the most efficient year of operation, which can serve as a benchmark to further contribute to the efficiency of the transport company.
- СтавкаProposal for an objective binary benchmarking framework that validates each other for comparing MCDM methods through data analytics(PeerJ Inc., 2023) Baydaş, Mahmut; Eren, Tevfik; Stević, Željko; Starčević, Vitomir; Parlakkaya, RaifWhen it comes to choosing the best option among multiple alternatives with criteria of different importance, it makes sense to use multi criteria decision making (MCDM) methods with more than 200 variations. However, because the algorithms of MCDM methods are different, they do not always produce the same best option or the same hierarchical ranking. At this point, it is important how and according to which MCDM methods will be compared, and the lack of an objective evaluation framework still continues. The mathematical robustness of the computational procedures, which are the inputs of MCDM methods, is of course important. But their output dimensions, such as their capacity to generate well-established real-life relationships and rank reversal (RR) performance, must also be taken into account. In this study, we propose for the first time two criteria that confirm each other. For this purpose, the financial performance (FP) of 140 listed manufacturing companies was calculated using nine different MCDM methods integrated with step-wise weight assessment ratio analysis (SWARA). İn the next stage, the statistical relationship between the MCDM-based FP final results and the simultaneous stock returns of the same companies in the stock market was compared. Finally, for the first time, the RR performance of MCDM methods was revealed with a statistical procedure proposed in this study. According to the findings obtained entirely through data analytics, Faire Un Choix Adéquat (FUCA) and (which is a fairly new method) the compromise ranking of alternatives from distance to ideal solution (CRADIS) were determined as the most appropriate methods by the joint agreement of both criteria.