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Öğe Uluslararası Ekonomi Finans ve İşletme Kongresi (EFİ-2023) 26-27 Mayıs 2023 / Sivas(Sivas Cumhuriyet Üniversitesi, 2023) Arıç, Kıvanç HalilSivas Cumhuriyet ÜniversitesiÖğe A NEW HYBRID FUZZY PSI-PIPRECIA-COCOSO MCDM BASED APPROACH TO SOLVING THE TRANSPORTATION COMPANY SELECTION PROBLEM(Vilnius Gediminas Technical University, 2021) Ulutaş, Alptekin; Popovic, Gabrijela; Radanov, Pavlov; Stanujkic, Dragisa; Karabasevic, DarjanNowadays, customers are not only interested in the quality of products, but they also want to have these products in a timely manner. The managers of an organization are faced with two problems when the distribution of products is in question, namely: (1) customers are usually geographically dispersed and (2) transportation should be performed in a cost-effective way. Although managers may have a significant experience and formal knowledge, decisions connected with the selection of an appropriate transportation company may very often be biased. For the purpose of avoiding making the inadequate decisions that might harm the operation of the organization, the application of a hybrid MCDM model is proposed in this paper. The proposed model consists of three fuzzy MCDM methods, including: the PIPRECIA, the PSI, and the CoCoSo methods. The fuzzy-PIPRECIA method is used to achieve the subjective weights of criteria, whereas the fuzzy-PSI method is used to obtain the objective weights of criteria. Fuzzy-CoCoSo is utilized to rank alternative transportation companies according to their performances. The possibilities of the proposed hybrid model are tested on a real case study pointed at the selection of an appropriate company for the transportation of ready-garments to retailers in Turkey.Öğe A new integrated grey mcdm model : Case of warehouse location selection(Faculty of Mechanical Engineering, 2021) Ulutaş, Alptekin; Balo, Figen; Sua, Lutfu; Demir, Ezgi; Topal, Ayşe; Jakovljević, VladimirWarehouses link suppliers and customers throughout the entire supply chain. The location of the warehouse has a significant impact on the logistics process. Even though all other warehouse activities are successful, if the product dispatched from the warehouse fails to meet the customer needs in time, the company may face with the risk of losing customers. This affects the performance of the whole supply chain therefore the choice of warehouse location is an important decision problem. This problem is a multicriteria decision-making (MCDM) problem since it involves many criteria and alternatives in the selection process. This study proposes an integrated grey MCDM model including grey preference selection index (GPSI) and grey proximity indexed value (GPIV) to determine the most appropriate warehouse location for a supermarket. This study aims to make three contributions to the literature. PSI and PIV methods combined with grey theory will be introduced for the first time in the literature. In addition, GPSI and GPIV methods will be combined and used to select the best warehouse location. In this study, the performances of five warehouse location alternatives were assessed with twelve criteria. Location 4 is found as the best alternative in GPIV. The GPIV results were compared with other grey MCDM methods, and it was found that GPIV method is reliable. It has been determined from the sensitivity analysis that the change in criteria weights causes a change in the ranking of the locations therefore GPIV method was found to be sensitive to the change in criteria weightsÖğe Developing a Novel Approach for Determining the Reliability of Bipolar Neutrosophic Sets and its Application in Multi-Criteria Decision-Making(2021) Ulutaş, AlptekinThis article aims to propose an approach for determining reliability of information collected using questionnaires and bipolar neutrosophic sets. Bipolar neutrosophic sets use six membership functions that express the truth membership, the falsity membership, as well as the indeterminacy membership to the set and complementary set. Therefore, bipolar neutrosophic numbers may be suitable for applying in multi-criteria evaluation when a smaller number of complex evaluation criteria are used. Unfortunately, a significant number of membership functions make them somewhat complex for collecting data by surveying respondents. Using reliability of data decision-makers can identify respondents who did not want to participate in the survey, or did not understand the application of BNNs, and take appropriate action. The usability of the proposed approach is presented through two illustrative examples and conclusions were drawn based on obtained results.Öğe A GREY HYBRID MODEL TO SELECT THE OPTIMAL THIRD-PARTY LOGISTICS PROVIDER(2021) Ulutaş, AlptekinEnterprises need to work with a proper third-party logistics provider to reduce costs and increase their logistics performance; so the third-party logistics (3PL) provider selection problem is a significant one for them. In this study, grey step-wise weight assessment ratio analysis (SWARA) and grey combinative distance-based assessment (CODAS) are proposed to address this problem. To the best of the authors’ knowledge, no other study uses grey SWARA and grey CODAS together to solve any problem. Therefore a new grey hybrid model incorporating grey SWARA and grey CODAS is proposed to identify the best 3PL provider.Öğe Selection of insulation materials with PSI-CRITIC based CoCoSo method(2021) Ulutaş, AlptekinThe performance effect of construction on energy conservation substantially depends upon application of correct materials and energy saving methodologies. A sizable financial impact is accomplished through insulated walls. The criteria explaining the present wall insulating material options may have different values. Furthermore, they may alter in different aspects, i.e. higher values of certain criteria show a preferable status, while for others they denote an inferior status. In this framework, a variant of compromise is needed, which can be situated through multi-criteria assessment methodologies. To diminish the effect of different methodologies on computational results, few diverse techniques can be considered, with descriptions of the mean predicted values. Thus, drawbacks of certain multi-criteria assessment techniques could be compensated through others. A hybrid methodology through the combination of individual techniques will be accurate if there is a relationship between the values determined through diverse methodologies. In this study, the most efficient insulation material used at external walls is selected by using PSI-CRITIC based CoCoSo Method. The analytical results are important both from financial and engineering point of views as the applied methodology is commercially viable and practically implementable. Precise and up-to-date material properties are derived from the leading companies in the sector.Öğe Developing of a Novel Integrated MCDM MULTIMOOSRAL Approach for Supplier Selection(2021) Ulutaş, AlptekinThe main aim of the article is to propose a new multiple criteria decision-making approach for selecting alternatives, the newly-developed MULTIMOOSRAL approach, which integrates advantages of the three well-known and prominent multiple-criteria decision-making methods: MOOSRA, MOORA, and MULTIMOORA. More specifically, the MULTIMOOSRAL method has been further upgraded with an approach that can be clearly seen in the well-known WASPAS and CoCoSo methods, which rely on the integration of weighted sum and weighted product approaches. In addition to the above approaches, the MULTIMOOSRAL method also integrates a logarithmic approximation approach. The expectation from the development of this method is that the integration of several approaches can provide a much more reliable selection of the most appropriate alternative, which can be very important in cases where the performance of alternatives obtained by using some other method does not differ much. Finally, the ranking of alternatives based on the dominance theory, used in the MOORA and MULTIMOORA methods, is replaced by a new original approach that should allow a much simpler final ranking of alternatives in order to reach a stronger result with five different techniques. The suitability and efficacy of the proposed MULTIMOOSRAL approach are presented through an illustrative case study of the supplier selection.Öğe A New Grey Approach for Using SWARA and PIPRECIA Methods in a Group Decision-Making Environment(2021) Ulutaş, AlptekinThe environment in which the decision-making process takes place is often characterized by uncertainty and vagueness and, because of that, sometimes it is very hard to express the criteria weights with crisp numbers. Therefore, the application of the Grey System Theory, i.e., grey numbers, in this case, is very convenient when it comes to determination of the criteria weights with partially known information. Besides, the criteria weights have a significant role in the multiple criteria decision-making process. Many ordinary multiple criteria decision-making methods are adapted for using grey numbers, and this is the case in this article as well. A new grey extension of the certain multiple criteria decision-making methods for the determination of the criteria weights is proposed. Therefore, the article aims to propose a new extension of the Step-wise Weight Assessment Ratio Analysis (SWARA) and PIvot Pairwise Relative Criteria Importance Assessment (PIPRECIA) methods adapted for group decision-making. In the proposed approach, attitudes of decision-makers are transformed into grey group attitudes, which allows taking advantage of the benefit that grey numbers provide over crisp numbers. The main advantage of the proposed approach in relation to the use of crisp numbers is the ability to conduct different analyses, i.e., considering different scenarios, such as pessimistic, optimistic, and so on. By varying the value of the whitening coefficient, different weights of the criteria can be obtained, and it should be emphasized that this approach gives the same weights as in the case of crisp numbers when the whitening coefficient has a value of 0.5. In addition, in this approach, the grey number was formed based on the median value of collected responses because it better maintains the deviation from the normal distribution of the collected responses. The application of the proposed approach was considered through two numerical illustrations, based on which appropriate conclusions were drawn.Öğe Location selection for a textile manufacturing facility with GIS based on hybrid MCDM approach(2021) Ulutaş, AlptekinThe establishment of a textile manufacturing facility in any city of a country is a very significant decision since it will have a significant positive effect on the economy of both the city and the country and reduce unemployment in the city. Even though it is a very important decision to establish a textile manufacturing facility, there are very few studies on the location selection of the textile manufacturing facility. This study aims to propose a new integrated MCDM model including FUCOM and PIV-F with GIS to fill this research gap. The criteria used in this study are as follows; Proximity to Airport (PA), Proximity to Highway (PH), Proximity to Shopping Centre (PSC), Proximity to Railway (PR), Proximity to Retailer Centre (PRC), Proximity to Supplier Centre (PSCT), Slope of Land (SL) and Distance to Population Density (DPD). FUCOM was used to obtain criteria weights. PR criterion was designated as the most important criterion with respect to the results of FUCOM. PIV-F method was used to rank suitable areas for a textile manufacturing facility in Sivas province of Turkey. According to the results of PIV-F, Area-4 was determined as the most suitable area for the establishment of a textile manufacturing facility in Sivas province. This study aims to make two contributions to the literature. First, the fuzzy extension of the PIV method is newly developed. Second, a new integrated MCDM-GIS model is used to select the location for the textile manufacturing facility.
