Прегледај по Аутор "Turskis, Zenonas"

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    A NOVEL INTEGRATED MCDM-SWOT-TOWS MODEL FOR THE STRATEGIC DECISION ANALYSIS IN TRANSPORTATION COMPANY
    (University of Niš, Serbia, 2021) Đalić, Irena; Stević, Željko; Ateljević, Jovo; Turskis, Zenonas; Zavadskas, Edmundas Kazimieras; Mardani, Abbas
    In this paper, based on the Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis, a matrix of Threats, Opportunities, Weaknesses and Strengths (TOWS) was formed. It represents possible business strategies of the transport company. To choose the right plan, a model based on the integration of Fuzzy PIvot Pairwise RElative Criteria Importance Assessment (fuzzy PIPRECIA), Full Consistency Method (FUCOM) and Measurement Alternatives and Ranking according to COmpromise Solution (MARCOS) methods, has been formed. A case study was conducted in the transport company from Bosnia and Herzegovina which provides services on the domestic and the European Union market for 20 years and belongs to a group of small and medium enterprises (SMEs). The SWOT analysis in this transport company was the basis for forming the TOWS matrix, which represents a set of possible business strategies. These strategies are the basis for developing five basic alternatives. The transport company should choose the best one of them for future business. The research focuses on forming a model for choosing the best strategy by which the transport company seeks to improve its business. Decision-making (DM) is not a straightforward sequence of operations, so the harmonization of methods as well as the verification of their results, are essential in the research. This model is applicable in SMEs that make these and similar decisions. Using this model, companies can adjust their business policies to the results of the model and achieve better business results. This research is the first that allows the use of such a model in making strategic decisions.
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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).
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    MODELLING PROCEDURE FOR THE SELECTION OF STEEL PIPE SUPPLIER BY APPLYING THE FUZZY AHP METHOD
    (2020) Zavadskas, Edmundas Kazimieras; Turskis, Zenonas; Stević, Željko; Mardani, Abbas
    The objective of this study is the supplier evaluation and selection by applying the fuzzy multi-criteria analysis. The study used the fuzzy Analytic Hierarchy Process (FAHP) to choose the most suitable supplier for the purchase of materials necessary for the production of pre-insulated pipes. Decision-makers selected among five suppliers based on nine criteria. Effective execution of procurement, in this case, the procurement of material needed for the production logistics subsystem, influences the overall efficiency of the business. Results show that it is very important to perform the right ranking in the process of supplier selection. Good decisions can ensure lower costs and higher quality of the production and therefore a better position in the market. Also, applied methodology and the rank show that supplier A is the most suitable solution.
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    Selection of Carpenter Manufacturer using Fuzzy EDAS Method
    (KAUNAS UNIV TECHNOLOGY, LITHUANIA, 2018) Stević, Željko; Vasiljevic, Marko; Zavadskas, Edmundas Kazimieras; Sremac, Siniša; Turskis, Zenonas
    Making a decision in everyday life always comes with uncertainty and responsibility. To reduce the risk to a minimum and to make the right decision, a person can use methods of multi-criteria analysis in combination with fuzzy logic. A married couple, representing decision-makers in this case study, have purchased an apartment and it needs to be completely refurbished including outside carpentry. The aim of this study is to select the most suitable manufacturer of PVC carpentry for the apartment refurbishing. A total pool of 14 quantitative and qualitative criteria is used as a base for the selection of the most suitable manufacturer of the seven available. For this case study, we will use one of the newer methods – - multi-criteria analysis of fuzzy Evaluation Based on Distance from Average Solution (fuzzy EDAS) method. After obtaining the results, an analysis of sensitivity has been conducted showing the stability of results where manufacturer number 4 represents an optimal solution in 13 experimental sets out of 14 in total.