Прегледај по Аутор "Zavadskas, Edmundas Kazimieras"
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- СтавкаA 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, AbbasIn 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.
- СтавкаMeasuring 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, ZenonasThe 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).
- СтавкаMODELLING PROCEDURE FOR THE SELECTION OF STEEL PIPE SUPPLIER BY APPLYING THE FUZZY AHP METHOD(2020) Zavadskas, Edmundas Kazimieras; Turskis, Zenonas; Stević, Željko; Mardani, AbbasThe 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.
- СтавкаMulti-Criteria Decision-Making Techniques for Improvement Sustainability Engineering Processes(MDPI, 2020) Zavadskas, Edmundas Kazimieras; Pamučar, Dragan; Stević, Željko; Mardani, AbbasThe success of any activity and process depends fundamentally on the possibility of balancing (symmetry) needs and their satisfaction. That is, the ability to properly define a set of success indicators. The application of the developed new multi-criteria decision-making (MCDM) methods can be eliminated or decreased by decision-makers’ subjectivity, which leads to consistency or symmetry in the weight values of the criteria. In this Special Issue, 40 research papers and one review study co-authored by 137 researchers from 23 di erent countries explore aspects of multi-criteria modeling and optimization in crisp or uncertain environments. The papers proposing new approaches and elaborate case studies in the following areas of applications: MCDM optimization in sustainable engineering, environmental sustainability in engineering processes, sustainable multi-criteria production and logistics processes planning, integrated approach for modeling processes in engineering, new trends in the multi-criteria evaluation of sustainable processes, multi-criteria decision-making in strategic management based on sustainable criteria.
- СтавкаNeuro-fuzzy inference systems approach to decision support system for economic order quantity(Taylor & Francis, 2019) Sremac, Siniša; Zavadskas, Edmundas Kazimieras; Matić, Bojan; Kopić, Miloš; Stević, ŽeljkoSupply chain management (SCM) has a dynamic structure involving the constant flow of information, product, and funds among different participants. SCM is a complex process and most often characterized by uncertainty. Many values are stochastic and cannot be precisely determined and described by classical mathematical methods. Therefore, in solving real and complex problems individual methods of artificial intelligence are increasingly used, or their combination in the form of hybrid methods. This paper has proposed the decision support system for determining economic order quantity and order implementation based on Adaptive neuro-fuzzy inference systems - ANFIS. A combination of two concepts of artificial intelligence in the form of hybrid neurofuzzy method has been applied into the decision support system in order to exploit the individual advantages of both methods. This method can deal with complexity and uncertainty in SCM better than classical methods because they it stems from experts’ opinions. The proposed decision support system showed good results for determining the amount of economic order and it is presented as a successful tool for planning in SCM. Sensitivity analysis has been applied, which indicates that the decision support system gives valid results. The proposed system is flexible and can be applied to various types of goods in SCM.
- СтавкаSelection of Carpenter Manufacturer using Fuzzy EDAS Method(KAUNAS UNIV TECHNOLOGY, LITHUANIA, 2018) Stević, Željko; Vasiljevic, Marko; Zavadskas, Edmundas Kazimieras; Sremac, Siniša; Turskis, ZenonasMaking 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.
- СтавкаThe Location Selection for Roundabout Construction Using Rough BWM-Rough WASPAS Approach Based on a New Rough Hamy Aggregator(MDPI, 2018) Stević, Željko; Pamučar, Dragan; Subotić, Marko; Antuchevičiene, Jurgita; Zavadskas, Edmundas KazimierasAn adequately functionally located traffic infrastructure is an important factor in the mobility of people because it affects the quality of traffic, safety and efficiency of carrying out transportation activities. Locating a roundabout on an urban network is an imperative for road engineering to address traffic problems such as reduction of traffic congestion, enhancement of security and sustainability, etc. Therefore, this paper evaluates potential locations for roundabout construction using Rough BWM (BestWorst Method) and RoughWASPAS (Weighted Aggregated Sum Product Assessment) models. Determination of relative criterion weights on the basis of which the potential locations were evaluated was carried out using the Rough BWM method. In this paper, in order to enable the most precise consensus for group decision making, a Rough Hamy aggregator has been developed. The main advantage of the Hamy mean (HM) operator is that it can capture the interrelationships among multi-input arguments and can provide DMs more options. Until now, there is no research based on HM operator for aggregating imprecise and uncertain information. The obtained indicators are described through eight alternatives. The results show that the fifth and sixth alternatives are the locations that should have a priority in the construction of roundabouts from the perspective of sustainable development, which is confirmed throughout changes of parameter k and with comparing to other methods in the sensitivity analysis.
- СтавкаThe Selection ofWagons for the Internal Transport of a Logistics Company: A Novel Approach Based on Rough BWM and Rough SAW Methods(MDPI, 2017) Stević, Željko; Pamučar, Dragan; Zavadskas, Edmundas Kazimieras; Ćirović, Goran; Prentkovskis, OlegasThe rationalization of logistics activities and processes is very important in the business and efficiency of every company. In this respect, transportation as a subsystem of logistics, whether internal or external, is potentially a huge area for achieving significant savings. In this paper, the emphasis is placed upon the internal transport logistics of a paper manufacturing company. It is necessary to rationalize the movement of vehicles in the company’s internal transport, that is, for the majority of the transport to be transferred to rail transport, because the company already has an industrial track installed in its premises. To do this, it is necessary to purchase at least two used wagons. The problem is formulated as a multi-criteria decision model with eight criteria and eight alternatives. The paper presents a new approach based on a combination of the Simple Additive Weighting (SAW) method and rough numbers, which is used for ranking the potential solutions and selecting the most suitable one. The rough Best–Worst Method (BWM) was used to determine the weight values of the criteria. The results obtained using a combination of these two methods in their rough form were verified by means of a sensitivity analysis consisting of a change in the weight criteria and comparison with the following methods in their conventional and rough forms: the Analytic Hierarchy Process (AHP), Technique for Ordering Preference by Similarity to Ideal Solution (TOPSIS) and MultiAttributive Border Approximation area Comparison (MABAC). The results show very high stability of the model and ranks that are the same or similar in different scenarios.