Application of fuzzy VIKOR method for the evaluation and selection of a suitable tugboat

Balın, Abit; Şener, Bekir; Demirel, Hakan

doi:10.1177/1475090219875879

Cited by 5 publications

(8 citation statements)

References 31 publications

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“…Genç and Masca (2018) proposed the fuzzy VIKOR technique on assessment of the students' choice for preferred Turkish banks. Balin et al (2019) applied the fuzzy VIKOR method for the selection of a convenient tugboat. Sharaf (2019) prioritized a supplier selection problem using the fuzzy VIKOR technique.…”

Section: Vikor Methodologymentioning

confidence: 99%

Identification and prioritization of issues to implementation of information-facilitated product recovery system for a circular economy

Dwivedi

Agrawal

Madaan

2020

MSCRA

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PurposeInformation-facilitated product recovery system (IFPRS) has captivated industry attention and has developed into a matter of consideration among the researchers because of enhanced climate concerns, jurisdictive logics and societal liabilities. Although IFPRS implementation has become an essential aspect in manufacturing industries functional in the developed nations, still, limited consideration has been given in the literature to analyze the issues to IFPRS implementation for a circular economy (CE) in emerging and developing nations. Therefore, the objective of this study is to recognize issues to implementing IFPRS for a CE in context of select manufacturing industries in India.Design/methodology/approachIn this study, 24 potential issues are established from the literature and from suggestions from the experts. The issues are clubbed under five different perspectives of technical, government, organization, policy and knowledge. Further, fuzzy VIKOR technique is applied on the results obtained to prioritize the identified issues. A sensitivity analysis has been carried out to check the robustness of the framework.FindingsThe present study shows that lack of skills and expertise in IFPRS implementation for a CE (I2), deficient capital to implement a CE in IFPRS (I9), inadequate in adopting recent IT technology (I18), feasibility of IFPRS employment for a CE (I6) and no efficient training and program to CE adoption (I21) are the top five potential issues in implementing IFPRS practices for a CE in Indian manufacturing industries.Research limitations/implicationsIn literature, limited study has been observed on determining issues to implementation of IFPRS for a CE. A more systematic method and statistical confirmation is necessary to establish further new confronting issues. This study is limited to Indian manufacturing industries.Originality/valueThe main contribution of this study includes identification of issues and later prioritizing them to reflect their severity. This would help the industry practitioners to formulate strategies for handling the issues conveniently.

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Section: Vikor Methodologymentioning

confidence: 99%

Identification and prioritization of issues to implementation of information-facilitated product recovery system for a circular economy

Dwivedi

Agrawal

Madaan

2020

MSCRA

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“…Since then, the fuzzy VIKOR has been used alone or with other methods. The Fuzzy VIKOR approach was employed and efficiently deployed to tackle a broad variety of MCDM issues (Ayouni et al, 2021;Balin et al, 2020;Jing et al, 2018;Meksavang et al, 2019). In this paper, the Fuzzy VIKOR method is modified and applied with other fuzzy MCDM methods to evaluate the QoS factors of web and cloud services.…”

Section: Fuzzy Vikormentioning

confidence: 99%

An integrated fuzzy-VIKOR-DEMATEL-TOPSIS technique for assessing QoS factors of SOA

al.¹

2022

Int. j. adv. appl. sci.

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Quality of service (QoS) is a very important concept in service-oriented architecture (SOA). While there is a growing body of study on QoS-based service selection based on SOA, there is little research on analyzing QoS factors from the viewpoints of IT workers and researchers. As a result, the purpose of the current study aims to offer an integrated fuzzy VIKOR-TOPSIS-DEMATEL approach framework for evaluating QoS factors of online services from the viewpoint of experts in a fuzzy environment. A numerical assessment of the QoS factors for a case firm in Ghana indicated that the suggested technique is appropriate for the problem. Furthermore, the technique outcomes divided QoS factors into cause-effect variables, ranked QoS factors, and lastly, suggested conflicting QoS factors. The results from the Fuzzy DEMATEL aspect of the proposed approach found integrity, availability, accessibility, compliance, documentation, latency, and adaptability as causal variables. While response time, cost/price, reliability, performance, security, reputation, throughput, best practices, success ability, encryption, portability, storage, and consistency are regarded as influential variables. The Fuzzy TOPSIS aspect of the technique found adaptability, documentation, consistency, transaction, and accessibility are the most ranked QoS factors of online services. The fuzzy VIKOR side of the proposed method discovers integrity, cost, and latency as incommensurable QoS factors. Finally, a sensitivity analysis was carried out, and the results show the model is robust. This study confirms the position of existing knowledge on sensitivity analysis in the QoS literature. In the issue of QoS factor evaluation, this work effectively blended three MCDM techniques. The study's shortcoming stems from its reliance on data from QoS specialists from only one developing nation (i.e. Ghana).

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“…Nine technical and operational criteria were examined by taking three experts' opinions. Balin et al 20 have specified criteria for the selection of tugboats that are categorized by propulsion systems and then, these criteria were assessed by relevant experts through a survey. The weights of each specified criterion were calculated using Fuzzy Shannon Entropy.…”

Section: Introductionmentioning

confidence: 99%

Selection of marine type air compressor by using fuzzy VIKOR methodology

Kaya¹,

Başhan²,

Üst³

2021

Proceedings of the Institution of Mechanical Engineers, Part M:

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Ships have to maintain many auxiliary machineries with high power consumption, and these machineries generally run continuously for long hours. One of the auxiliary machineries that consume a lot of power in ships is the air compressor. These air compressors are especially important as they are used at the start of the main engine and generator diesel engines. Therefore, a suitable selection of these compressors is vital, in terms of technical requirement, energy efficiency, and cost effectiveness. The main focus of this study is to decide the optimum compressor in terms of all technical and operational criteria. In this context, using the fuzzy VIKOR method, five different and worldwide known compressor brands are listed in terms of selection by evaluating seven different and important criteria. These criteria were evaluated by five experts working as technical directors in shipping companies without being informed of each other. Briefly, this study aims to assist shipping companies in choosing the optimal compressor to suit their primary operating goals, considering the navigating routes and conditions of commercial ships. We believe that it is possible to close this gap in the literature and to select the optimum compressor according to the technical and operational needs.

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Application of fuzzy VIKOR method for the evaluation and selection of a suitable tugboat

Cited by 5 publications

References 31 publications

Identification and prioritization of issues to implementation of information-facilitated product recovery system for a circular economy

Identification and prioritization of issues to implementation of information-facilitated product recovery system for a circular economy

An integrated fuzzy-VIKOR-DEMATEL-TOPSIS technique for assessing QoS factors of SOA

Selection of marine type air compressor by using fuzzy VIKOR methodology

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