Search

Timely delivery of products to customers is the great importance for retailers in supply chain management. Vending machines are one of the most effective retail tools for consumers to get the product they want at any time. With the developing technology, retailers tend to establish distribution with vending machines to provide faster service to the consumer. At this point, one of the primary objectives is to make the location selection decisions for these vending machines. The most suitable location selection decision includes the evaluation of each alternative under the specified criteria in a problem where there are multiple alternative locations. The present paper proposes a novel modified Delphi-based spherical fuzzy analytical hierarchy process (SFAHP) integrated spherical fuzzy combinative distance-based assessment (SFCODAS) methodology to the vending machine location selection (VMLS) problem. After determining the main and sub-criteria hierarchically, the Modified Delphi method is used to consolidate the opinions of the experts regarding the criteria and integrate them into the study. The main and sub-criteria weights are provided by the SFAHP method. And the most suitable location is determined by the SFCODAS method by ranking among the alternative locations according to these weighted criteria. The case study of VMLS is presented for a retail firm in Istanbul. Sensitivity analysis is performed to measure the flexibility of the proposed methodology. To validate the applicability of the proposed methodology, comparison analysis is presented with the results of the spherical fuzzy weighted aggregated sum-product assessment (SFWASPAS) method. Finally, the conclusions and future directions are discussed in the study. [ABSTRACT FROM AUTHOR]

There is an increase in the number of people who have changed their country for compulsory reasons due to the wars experienced worldwide. This raises the problem of identifying the regions where these people, called refugees, will live in the countries. In this regard, we determine in this paper where the camps established for refugees living in Istanbul should be located. The presence of many quantitative and qualitative factors which should be handled in determining the best location has enabled this problem to have multi-criteria decision-making structure. In addition, the advantage of fuzzy logic is used to convert the evaluations taken from experts into available numbers and to include them in decision-making process. For this purpose, a novel model with the integration of Pythagorean fuzzy AHP and Pythagorean fuzzy WASPAS methods is proposed for the first time in the literature, to select the best location for the refugee camp. In addition, a comparative analysis is applied to determine the validity of the results obtained and the sensitivity analysis is applied to check the robustness of the model. As a result, the most suitable location for a refugee camp in Istanbul is identified reasonably with the proposed model. [ABSTRACT FROM AUTHOR]

Pollution, climate change, fast natural resource depletion, deforestation and global warming have become major worldwide problems relevant with the petroleum-based powered vehicles and alternatives for this conventional transportation type have been started to change in the last decade. In this modification process, electric vehicles (EVs) have a leading position due to their low damage effect to the environment. Selecting the most sustainable location for charging station for EVs plays an important role in the life cycle of them. This process needs to consider some conflicting criteria and has a complex decision problem that can be modeled as a multi-criteria decision-making problem. The inclusion of such criteria in a location selection requires the fuzzy sets to be used in the decision-making methodology. For this aim, intuitionistic fuzzy sets have been used in this paper. By the way, a decision-making procedure based on intuitionistic fuzzy sets and consists of the decision-making trial and evaluation laboratory, analytic hierarchy process and technique for order preference by similarity to ideal solution has been suggested for the location selection of charge stations. The proposed fuzzy-based model is applied to a case study for Istanbul in Turkey. [ABSTRACT FROM AUTHOR]

In urban areas, delivery of the products necessary to survive to the desired points has vital importance, and public distribution centers (PDCs) are one of the most important components of this system. In this paper, we present a hybrid method to analyze the locations of F&VMHs which is one of the PDCs types. Firstly, the alternative numbers have been decreased by interval-valued trapezoidal fuzzy grey relational analysis (IVTFGRA) method. Secondly, we develop a binary fuzzy goal programming (BFGP) model with fuzzy parameters to determine the most appropriate F&VMH locations by taking into consideration costs, arrival times and CO 2 emission goals. Then, the BFGP model is converted to standard FGP model. In the last stage, the constraints with fuzzy parameters are transformed to crisp constraints with Peidro et al. (2010) 's methodology. The results show that current F&VMHs need to be moved to the locations that are more cost effective and out of the city center. [ABSTRACT FROM AUTHOR]