The Application of Fuzzy VIKOR for the Design Scheme Selection in Lean Management

Jing, Shuwei; Tang, Yongming; Yan, Jiahui

doi:10.1155/2018/9253643

Cited by 15 publications

(17 citation statements)

References 26 publications

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“…The fuzzy VIKOR method (F-VIKOR), which is an enlargement of VIKOR method for linguistic data, has been constructed to investigate the compromise solution of the fuzzy multi criteria problem [23] , [29] . The procedure of F-VIKOR can be described meticulously as follows:…”

Section: Methodology and Computational Toolsmentioning

confidence: 99%

“…Although measures of AHP, calculations of consistency ratio, manipulation of weighted aggregate matrices and ranking of linguistic terms through fuzzy numbers are quite cumbrous, but yet more effective [18] , [19] , [20] . Among many, VIKOR and TOPSIS are significantly used methodologies in amalgamation with fuzzy theory in prioritization and selection of optimal alternatives [21] , [22] , [23] , [24] . Supply chain and project management, cloud services management, prevention strategies of any disease, etc.…”

Section: Introductionmentioning

confidence: 99%

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Different variants of pandemic and prevention strategies: A prioritizing framework in fuzzy environment

2021

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In this trying time for the world battling different variants of the COVID'19 pandemic, different intervention strategies are being taken by government, to limit the spread of infection. Closing educational institutes, stay at home orders, campaigns for emphasis on vaccination, usage of medical mask and frequently sanitizing hands, etc. are the endeavors made by the authorities to decrease the number of cases in the country. In this regard, the contribution aims to help the decision-makers to identify a potential prevention strategy, based on public acceptance and intervention effectiveness. To achieve this objective, feasible judgments of professionals from three different sectors are brought together through meetings. Opinions, based on ten criteria, are recorded in linguistic form for prioritizing six alternatives. The linguistic terms are then evaluated and manipulated by entailing triangular fuzzy numbers and a group multi-criteria decision making (GMCDM) approach. After using the fuzzy analytical hierarchy process (F-AHP) for the complex decisions, the fuzzy VIšekriterijumsko KOmpromisno Rangiranje method (F-VIKOR) is utilized to attain the closest ideal stratagem. Consequently, through the ranking orders of defuzzified scores, intuitive preference of compromise solutions is suggested. The tactic gaining more priority with respect to the group utility to the majority and F-VIKOR index is complete lockdown for the short term. Furthermore, a comparison analysis is also added in the discussion to verify the attained prioritized outcomes. This comparative study is carried out through the technique for order of preference by similarity to ideal solution (TOPSIS), which evidently produces the same preference of alternatives. In addition, this strategy can be apparently discovered to be an effective strategy adopted by different countries in successfully decreasing the number of cases.

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Section: Methodology and Computational Toolsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Different variants of pandemic and prevention strategies: A prioritizing framework in fuzzy environment

2021

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“…Asees Awan and Ali (2019) adopted fuzzy VIKOR for sustainable modeling in reverse logistics strategies. Jing et al (2018) used the fuzzy VIKOR methodology for the selection of a design program in context of waste management. A fuzzy VIKOR methodology was adopted for equipment selection (Alpay and Iphar, 2018).…”

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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“…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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The Application of Fuzzy VIKOR for the Design Scheme Selection in Lean Management

Cited by 15 publications

References 26 publications

Different variants of pandemic and prevention strategies: A prioritizing framework in fuzzy environment

Different variants of pandemic and prevention strategies: A prioritizing framework in fuzzy environment

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

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