Прегледај по Аутор "Miškić, Smiljka"
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- СтавкаA Novel Hybrid Model for the Evaluation of Industry 4.0 Technologies’ Applicability in Logistics Centers(Hindawi, 2023) Miškić, Smiljka; Tadić, Snežana; Stević, Željko; Krstić, Mladen; Roso, VioletaThe application of Industry 4.0 (I4.0) in the field of logistics leads to the emergence and development of the concept of logistics 4.0. Many I4.0 technologies have been applied in the field of logistics. The goal of this research is to analyze the applicability of nine key I4.0 technologies in logistics centers (LC). For this purpose, an integrated MEREC (MEthod based on the Removal Effects of Criteria)—fuzzy MARCOS (Measurement of Alternatives and Ranking according to COmpromise Solution) model was developed. The applicability of nine I4.0 technologies was evaluated based on 15 subcriteria within three main groups of criteria, namely, technological, social and political, and economic and operative. Using the MEREC method, the weight values of the criteria and subcriteria were determined, while the technologies were ranked using the fuzzy MARCOS method. Based on the results obtained by applying this integrated MCDM (multicriteria decision-making) model, CC was identified as the best alternative, i.e., the technology that is most applicable in logistics centers, followed by IoT and big data. An analysis of the sensitivity of the obtained results to the change in the importance of the criteria was carried out, which shows certain changes in the ranking when the importance of the most important criterion changes.
- СтавкаA Novel Integrated SWARA-MARCOS Model for Inventory Classification(Iran University of Science and Technology, 2021) Miškić, Smiljka; Stević, Željko; Tanackov, IlijaIn the field of logistics, there is a daily need for decision making, i.e. the need to solve business problems by selecting an appropriate solution. During the implementation of decision-making processes, it is necessary to find an optimal solution that will best meet the needs of companies. The selection of an optimal solution is crucial for the profitability, cost-effectiveness and long-term development of companies. The decision-making process in logistics is facilitated by applying various tools such as multi-criteria decision-making methods. In this paper, an integrated SWARA (Step-wise Weight Assessment Ratio Analysis) – MARCOS (Measurement Alternatives and Ranking according to Compromise Solution) model was developed and applied in order to classify products. Fifty alternatives, i.e. products were evaluated based on three criteria. The first criterion is the quantity of purchased products, the second criterion is the unit price of products and the third criterion is the annual value of purchase. The SWARA method was applied to determine the significance of the criteria, while the classification of products was performed using the MARCOS method. According to the results of the originally created MCDM model, the products were grouped into three categories A, B, and C. Then, a sensitivity analysis was performed using a model involving the integration of SWARA method and ABC analysis. Using this model, the classification of products into three groups was performed on the basis of the aforementioned criteria, and then a comparative analysis was conducted
- 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.
- СтавкаDevelopment of a Model for Evaluating the Efficiency of Transport Companies: PCA–DEA–MCDM Model(MDPI, 2022) Stević, Željko; Miškić, Smiljka; Vojinović, Dragan; Huskanović, Eldina; Stanković, Miomir; Pamučar, DraganThe efficiency of transport companies is a very important factor for the companies themselves, as well as for the entire economic system. The main goal of this paper is to develop an integrated model for determining the efficiency of representative transport companies over a period of eight years. An original model was developed that includes the integration of DEA (Data Envelopment Analysis), PCA (Principal Component Analysis), CRITIC (Criteria Importance Through Inter criteria Correlatio), Entropy and MARCOS (Measurement Alternatives and Ranking according to the COmpromise Solution) methods in order to determine the final efficiency of transport companies based on 10 input–output parameters. The results showed that the most efficient business performance was achieved in the period 2014–2017, followed by slightly less efficient results. Then, extensive sensitivity analysis and comparative analysis were performed, which confirmed, to some extent, the previously obtained results. In the sensitivity analysis, 30 scenarios with changes in the weights of criteria were created, while the comparative analysis was carried out with three other MCDM (Multi-Criteria Decision-Making) methods. Finally, the rank correlation index was determined using the Spearman and WS (Wojciech Salabun) correlation coefficients. According to the final results, very efficient years can be separated that can be the benchmark for furthering the business
- 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.
- СтавкаHYBRID MCDM SOLUTIONS FOR EVALUATION OF THE LOGISTICS PERFORMANCE INDEX OF THE WESTERN BALKAN COUNTRIES(Sciendo, 2022) Mešić, Amar; Miškić, Smiljka; Stević, Željko; Mastilo, ZoranThe Logistics Performance Index (LPI) performed by the World Bank is an indicator of the logistics environment quality of a country in which logistics operators act. The LPI is an interactive tool designed to help countries identify challenges, innovative solutions, and opportunities they face in their work in the field of trade and logistics. The aim of this paper is to conduct a comparative analysis and ranking of the LPI of the countries in the Western Balkans (Bosnia and Herzegovina, North Macedonia, Albania, Serbia and Montenegro), calculated by the World Bank for 2018, using an integrated Criteria Importance Through Intercriteria Correlation (CRITIC)-Measurement Alternatives and Ranking according to Compromise Solution (MARCOS) model and thus show the real picture of the logistics environment. In order to determine the performance of countries and show the overall logistics performance, six key dimensions are used: customs, infrastructure, international transport, logistics capability, tracking and tracing of goods and shipment delivery within scheduled or expected times. Using the CRITIC method, the weight values of the previously mentioned six criteria were calculated, whereby the criterion related to shipment delivery within scheduled times was singled out as the most significant criterion. Then, by applying the MARCOS method, the countries of the Western Balkans were ranked on the basis of the six defined criteria. Based on the results obtained, the best-ranked country is Serbia. The analysis of the sensitivity of the results to changes in the significance of the criteria does not show significant changes in the ranking.