Прегледај по Аутор "Vasiljević, Marko"

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    A New Methodology for Improving Service Quality Measurement: Delphi-FUCOM-SERVQUAL Model
    (MDPI, 2018) Prentkovskis, Olegas; Erceg, Živko; Stević, Željko; Tanackov, Ilija; Vasiljević, Marko; Gavranović, Mladen
    The daily requirements and needs imposed on the executors of logistics services imply the need for a higher level of quality. In this, the proper execution of all sustainability processes and activities plays an important role. In this paper, a new methodology for improving the measurement of the quality of the service consisting of three phases has been developed. The first phase is the application of the Delphi method to determine the quality dimension ranking. After that, in the second phase, using the FUCOM (full consistency method), we determined the weight coefficients of the quality dimensions. The third phase represents determining the level of quality using the SERVQUAL (service quality) model, or the difference between the established gaps. The new methodology considers the assessment of the quality dimensions of a large number of participants (customers), on the one hand, and experts’ assessments on the other hand. The methodology was verified through the research carried out in an express post company. After processing and analyzing the collected data, the Cronbach alpha coefficient for each dimension of the SERVQUAL model for determining the reliability of the response was calculated. To determine the validity of the results and the developed methodology, an extensive statistical analysis (ANOVA, Duncan, Signum, and chi square tests) was carried out. The integration of certain methods and models into the new methodology has demonstrated greater objectivity and more precise results in determining the level of quality of sustainability processes and activities.
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    A Novel Rough WASPAS Approach for Supplier Selection in a Company Manufacturing PVC Carpentry Products
    (MDPI, 2018) Stojić, Gordan; Stević, Željko; Antuchevičiene, Jurgita; Pamučar, Dragan; Vasiljević, Marko
    The decision-making process requires the prior definition and fulfillment of certain factors, especially when it comes to complex areas such as supply chain management. One of the most important items in the initial phase of the supply chain, which strongly influences its further flow, is to decide on the most favorable supplier. In this paper a selection of suppliers in a company producing polyvinyl chloride (PVC) carpentry was made based on the new approach developed in the field of multi-criteria decision making (MCDM). The relative values of the weight coefficients of the criteria are calculated using the rough analytical hierarchical process (AHP) method. The evaluation and ranking of suppliers is carried out using the new rough weighted aggregated sum product assessment (WASPAS) method. In order to determine the stability of the model and the ability to apply the developed rough WASPAS approach, the paper analyzes its sensitivity, which involves changing the value of the coefficient l in the first part. The second part of the sensitivity analysis relates to the application of different multi-criteria decision-making methods in combination with rough numbers that have been developed in the very recent past. The model presented in the paper is solved by using the following methods: rough Simple Additive Weighting (SAW), rough Evaluation based on Distancefrom Average Solution (EDAS), rough MultiAttributive Border Approximation area Comparison (MABAC), rough Višekriterijumsko kompromisno rangiranje (VIKOR), rough MultiAttributiveIdeal-Real Comparative Analysis (MAIRCA) and rough Multi-objective optimization by ratio analysis plus the full multiplicative form (MULTIMOORA). In addition, in the third part of the sensitivity analysis, the Spearman correlation coefficient (SCC) of the ranks obtained was calculated which confirms the applicability of all the proposed approaches. The proposed rough model allows the evaluation of alternatives despite the imprecision and lack of quantitative information in the information-management process.
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    A ROUGH MULTICRITERI A APPROACH FOR EVALU ATION OF THE SUPPLIER CRIT ERIA IN AUTOMOTIVE I NDUSTRY
    (2018) Vasiljević, Marko; Fazlollahtabar, Hamed; Stević, Željko; Vesković, Slavko
    Ensuring costs reduction and increasing competitiveness and satisfaction of end users are the goals of each participant in the supply chain. Taking into account these goals, the paper proposes methodology for defining the most important criteria for suppliers’ evaluation. From a set of twenty established criteria, i.e. four sets of criteria: finances, logistics, quality and communication and business including its sub-criteria, we have allocated the most important ones for supplier selection. Analytic Hierarchy Process (AHP) based on rough numbers is presented to determine the weight of each evaluation criterion. For the criteria evaluation we have used knowledge from the expert in this field. The efficacy of the proposed evaluation methodology is demonstrated through its application to the company producing metal washers for the automotive industry. Next a sensitivity analysis is carried out in order to show the stability of the model. For checking stability the AHP method in conventional form is used in combination with fuzzy logic
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    AN INTEGRATED FUZZY AHP AND TOPSIS MODEL FOR SUPPLIER EVALUATION
    (University of Belgrade, Serbia, 2016) Stević, Željko; Tanackov, Ilija; Vasiljević, Marko; Novarlić, Boris; Stojić, Gordan
    In today’s modern supply chains, the adequate suppliers’ choice has strategic meaning for entire companies’ business. The aim of this paper is to evaluate different suppliers using the integrated model that recognizes a combination of fuzzy AHP (Analytical Hierarchy Process) and the TOPSIS method. Based on six criteria, the expert team was formed to compare them, so determination of their significance is being done with fuzzy AHP method. Expert team also compares suppliers according to each criteria and on the base of triangular fuzzy numbers. Based on their inputs, TOPSIS method is used to estimate potential solutions. Suggested model accomplishes certain advantages in comparison with previously used traditional models which were used to make decisions about evaluation and choice of supplier.
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    EFFICIENCY IN ORGANIZING TRANSPORT ROUTES AS PART OF THE CITY WASTE MANAGEMENT: PROPOSAL FOR INNOVATIVE WAY OF TRANSPORT
    (Faculty of Engineering, University of Kragujevac, Serbia, 2017) Novarlić, Boris; Stević, Željko; Đurić, Predrag; Vasiljević, Marko
    Research presented in this paper is primarily focused on the theoretical model of transportation routes' optimization, by means of using an innovative approach, projected to countries in transition. This paper presents part of the research, whose main parameters are directly related to basic research hypothesis, and are result of author's stay in vocational training in the Japanese city of Osaka, in the period 12.01. - 07.03.2015. Based on the transport routes' calculations, we came to an answer set in the research problem of this paper, as well as to the optimization of costs and avoiding a "downtime" during the collection of waste conducted by utility companies, who will be the beneficiaries of this model. The primary goal of the work is to, on the base of knowledge and experience acquired in Japan, create an Optimization Model of Transport Routes adjusted to countries in transition (Bosnia and Herzegovina and others), which will, in the long run, be of benefit to these countries, in terms of a sustainable waste management
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    EVALUATION OF THE RA ILWAY MANAGEMENT MOD EL BY USING A NEW INTEG RATED MODEL DELPHI SWARA MABAC
    (2018) Vesković, Slavko; Stević, Željko; Stojić, Gordan; Vasiljević, Marko; Milinković, Sanjin
    The functioning of each traffic system depends to a great extent on the way the rail transport system operates. Taking into account the aspect of market turbulence and the dependence on adequate delivery when it comes to freight transport and traffic in accordance with a yearly Timetable in passenger traffic, transport policies are changing with time. Therefore, this document is considering the railway management models on the territory of Bosnia and Herzegovina. For the purpose of evaluating these models, a new hybrid model has been applied, i.e. the model which includes a combination of the Delphi, SWARA (Step-Wise Weight Assessment Ratio Analysis) and MABAC (Multi-Attributive Border Approximation Area Comparison) methods. In the first phase of the study, the criteria ranking was determined based on 16 expert grades used in the Delphi Method. After that, a total of 14 decision-makers determined the mutual criteria impact, which is a prerequisite for the application of the SWARA Method used to determine the relative weight values of the criteria. The third phase involves the application of the MABAC Method for evaluating and determining the most suitable variant. In addition, a sensitivity analysis involving the application of the ARAS, WASPAS, SAW and EDAS methods has been performed, thus verifying the previously obtained variant ranking
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    Novel Integrated Multi-Criteria Model for Supplier Selection: Case Study Construction Company
    (MDPI, 2017) Stević, Željko; Pamučar, Dragan; Vasiljević, Marko; Stojić, Gordan; Korica, Sanja
    Supply chain presents a very complex field involving a large number of participants. The aim of the complete supply chain is finding an optimum from the aspect of all participants, which is a rather complex task. In order to ensure optimum satisfaction for all participants, it is necessary that the beginning phase consists of correct evaluations and supplier selection. In this study, the supplier selection was performed in the construction company, on the basis of a new approach in the field of multi-criteria model. Weight coefficients were obtained by DEMATEL (Decision Making Trial and Evaluation Laboratory) method, based on the rough numbers. Evaluation and the supplier selection were made on the basis of a new Rough EDAS (Evaluation based on Distance from Average Solution) method, which presents one of the latest methods in this field. In order to determine the stability of the model and the applicability of the proposed Rough EDAS method, an extension of the COPRAS and MULTIMOORA method by rough numbers was also performed in this study, and the findings of the comparative analysis were presented. Besides the new approaches based on the extension by rough numbers, the results are also compared with the Rough MABAC (MultiAttributive Border Approximation area Comparison) and Rough MAIRCA (MultiAttributive Ideal-Real Comparative Analysis). In addition, in the sensitivity analysis, 18 different scenarios were formed, the ones in which criteria change their original values. At the end of the sensitivity analysis, SCC (Spearman Correlation Coefficient) of the obtained ranges was carried out, confirming the applicability of the proposed approaches