SWARA/WASPAS methods for a marine current energy plant location selection problem

Yücenur, G. Nilay; İpekçi, Ahmet

doi:10.1016/j.renene.2020.08.131

Cited by 89 publications

(43 citation statements)

References 50 publications

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“…The SWARA method has also been applied to rank the problems caused by the lack of sustainable suppliers in the electronics industry [ 66 ]. Moreover, Yücenur and Ipekçi [ 67 ], in the model they proposed, ranked the criteria for a site selection problem by using SWARA for the first offshore current power generation facility planned to be established in Turkey, while Baç [ 68 ], who evaluated different smart card systems, used the SWARA method to determine the best alternative and the criteria weights in the decision model.…”

Section: Methodsmentioning

confidence: 99%

Investigation of empty container shortage based on SWARA-ARAS methods in the COVID-19 era

Toygar

Yıldırım

İnegöl

2022

Eur. Transp. Res. Rev.

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A shortage of empty containers has become a global crisis with more devastating effects than during previous periods when combined with various problems arising from the COVID-19, such as an increase in an imbalance of global trade between supply and demand, a decrease in the workforce, and restrictions by countries or regional quarantine practices. The absence of empty containers in regions where they are needed slows down industrial activities and locks the global supply networks, necessitating the use of alternative methods that are inefficient. Although this shortage causes many disruptions in global trade, solutions to the issue have not been studied in detail. Therefore, the aim of this study was to determine the issues caused by the shortage of empty containers and to rank the appropriate solutions. Four main criteria and sixteen subcategories used to define the issues, as well as a multi criteria decision model comprising five criteria for the solutions, were proposed based on information from the literature, sectorial publications, and expert opinions. The issues’ weighted order of importance in our proposed model was calculated using the SWARA (Step-wise Weight Assessment Ratio Analysis) method; solutions were ranked using the ARAS (Additive Ratio Assessment) method. The results of the study revealed that the issues were ranked in importance as cost increases, uncertainty in the supply chain, volume loss, and increases in blank sailing announcements. Appropriate solutions were ranked as booking guarantee applications and information communication technologies, using shipper-owned containers, inducement calls, and E2E (end to end) delivery services.

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Section: Methodsmentioning

confidence: 99%

Investigation of empty container shortage based on SWARA-ARAS methods in the COVID-19 era

Toygar

Yıldırım

İnegöl

2022

Eur. Transp. Res. Rev.

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“…Pamucar et al ( 2020 ) proposed a fuzzy based framework with EBWA and WASPAS for weight determination and ranking of access modes in airport. Yücenur and Ipekçi ( 2021 ) came up with a framework for marine current plant location under the uncertainty context by combining SWARA and WASPAS for weight calculation and ranking process. Bouchraki et al ( 2021 ) put forward a new model with fuzzy AHP and fuzzy WASPAS for weight estimation and ranking of claims from customers owing to drinking water utility in a firm.…”

Section: Methodsmentioning

confidence: 99%

Prioritization of healthcare systems during pandemics using Cronbach’s measure based fuzzy WASPAS approach

et al. 2022

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Pandemics are well-known as epidemics that spread globally and cause many illnesses and mortality. Because of globalization, the accelerated occurrence and circulation of new microbes, the infection has emerged and the incidence and movement of new microbes have sped up. Using technological devices to minimize the visit durations, specifying days for handling chronic diseases, subsidy for the staff are the alternatives that can help prevent healthcare systems from collapsing during pandemics. The study aims to define the efficient usage of optimization tools during pandemics to prevent healthcare systems from collapsing. In this study, a new integrated framework with fuzzy information is developed, which attempts to prioritize these alternatives for policymakers. First, rating data are assigned respective fuzzy values using the standard singleton grades. Later, criteria weights are determined by extending Cronbach´s measure to fuzzy context. The measure not only understands data consistency comprehensively, but also takes into consideration the attitudinal characteristics of experts. By this approach, a rational weight vector is obtained for decision-making. Further, an improved Weighted Aggregated Sum Product Assessment (WASPAS) algorithm is put forward for ranking alternatives, which is flexibly considering criteria along with personalized ordering and holistic ordering alternatives. The usefulness of the developed framework is tested with the help of a real case study. Rank values of alternatives when unbiased weights are used is given by 0.741, 0.582, 0.640 with ordering as $$R_{1} \succ R_{3} \succ R_{2}$$ R 1 ≻ R 3 ≻ R 2 . The sensitivity/comparative analysis reveals the impact of the proposed model as useful in selecting the best alternative for the healthcare systems during pandemics.

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“…The values of the combined optimality criteria determine the list of alternatives. The method is capable of maintaining consistency in alternative rankings; however, through sensitivity analyses [ 21 ]. Introduced in [ 22 ], the EDAS (Evaluation based on Distance from Average Solution) method is applied to the problem of inventory classification, and its efficiency in addressing MCDM problems is examined.…”

Section: - Review Of the Literaturementioning

confidence: 99%

Presentation of a new method based on modern multivariate approaches for big data replication in distributed environments

2021

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As the amounts of data and use of distributed systems for data storage and processing have increased, reducing the number of replications has turned into a crucial requirement in these systems, which has been addressed by plenty of research. In this paper, an algorithm has been proposed to reduce the number of replications in big data transfer and, eventually to lower the traffic load over the grid by classifying data efficiently and optimally based on the sent data types and using VIKOR as a method of multivariate decision-making for ranking replication sites. Considering different variables, the VIKOR method makes it possible to take all the parameters effective in the assessment of site ranks into account. According to the results and evaluations, the proposed method has exhibited an improvement by about thirty percent in average over the LRU, LFU, BHR, and Without Rep. algorithms. Furthermore, it has improved the existing multivariate methods through different approaches to replication by thirty percent, as it considers effective parameters such as time, the number of replications, and replication site, causing replication to occur when it can make an improvement in terms of access.

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SWARA/WASPAS methods for a marine current energy plant location selection problem

Cited by 89 publications

References 50 publications

Investigation of empty container shortage based on SWARA-ARAS methods in the COVID-19 era

Investigation of empty container shortage based on SWARA-ARAS methods in the COVID-19 era

Prioritization of healthcare systems during pandemics using Cronbach’s measure based fuzzy WASPAS approach

Presentation of a new method based on modern multivariate approaches for big data replication in distributed environments

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