Fuzzy TOPSIS and fuzzy VIKOR in selecting green suppliers for sponge iron and steel manufacturing

2021 ◽  
Vol 25 (8) ◽  
pp. 6505-6525
Author(s):  
Sanjay Kumar ◽  
Asim Gopal Barman
Keyword(s):  
Fuzzy Topsis ◽  
Sponge Iron ◽  
Iron And Steel ◽  
Fuzzy Vikor ◽  
Steel Manufacturing ◽  
Green Suppliers

Evaluation and Selection of Green Suppliers Using Fuzzy VIKOR and Fuzzy TOPSIS

2019 ◽  
pp. 202-218 ◽  
Author(s):  
Sasikumar P. ◽  
Vimal K. E. K.
Keyword(s):  
Manufacturing Industry ◽  
Evaluation Criteria ◽  
Fuzzy Topsis ◽  
Fuzzy Vikor ◽  
Evaluation Approach ◽  
Fuzzy Environment ◽  
Environmental Image ◽  
Green Suppliers ◽  
Case Organization

Green supplier selection is considered to be one of the prominent strategic ways to determine the success of whole supply chain in recent times. In this chapter, fuzzy VIKOR and fuzzy TOPSIS methods are used to select the suitable green supplier under fuzzy environment. The green supplier evaluation approach is demonstrated with a real-world case study involving textile manufacturing industry in southern part of India concerning 11 foremost evaluation criteria that the company has determined to select the most suitable supplier. The compromising solution for the four decision makers in Fuzzy VIKOR corroborate with the compromising solution of Fuzzy TOPSIS method. The application of proposed method in the case organization helps to identify the appropriate supplier systematically. The result offer useful insight for the managers to select the suitable supplier to improve the environmental image of the organization.

Technological Effects of Metallurgical Industry Restructuring in Poland

2013 ◽  
Vol 212 ◽  
pp. 187-190 ◽  
Author(s):  
Bożena Gajdzik ◽  
Krystian Janiszewski
Keyword(s):  
Economic System ◽  
Open Hearth ◽  
Metallurgical Industry ◽  
Iron And Steel ◽  
Technological Processes ◽  
Industry Restructuring ◽  
Steel Manufacturing

The publication presents changes occurring in technological processes of producing steel after transformation of economic system in Poland after year 1989 and conducted repair programs within restructuring of metallurgical industry of iron and steel. Changes were based on withdrawals of economically unprofitable technologies, including open hearth furnaces through expansion of electrical and converter technologies of steel manufacturing up to activities which were connected with changing the profile of manufactured assortment.

Fuzzy Multicriteria Decision Making Methodologies Used in the Book

2020 ◽  
pp. 92-131
Keyword(s):  
Decision Making ◽  
Multicriteria Decision Making ◽  
Fuzzy Topsis ◽  
Suitable Model ◽  
Fuzzy Dematel ◽  
Multicriteria Decision ◽  
Fuzzy Vikor

Using an appropriate methodology is crucial in the analysis. Therefore, the suitable model should be selected according to the type of the evaluation. Otherwise, there is a risk of having inappropriate results. Because of this situation, recommendations can be problematic. In this book, three different analyses are performed. In two of them, fuzzy DEMATEL, fuzzy TOPSIS, and fuzzy VIKOR approaches are taken into consideration. In this chapter, these three methods are explained. In this framework, some studies, which used these methods, are explained.

scholarly journals Group decision-making approach for flood vulnerability identification using the fuzzy VIKOR method

2015 ◽  
Vol 15 (4) ◽  
pp. 863-874 ◽  
Author(s):  
G. Lee ◽  
K. S. Jun ◽  
E.-S. Chung
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Fuzzy Topsis ◽  
Decision Makers ◽  
Consensus Building ◽  
Vikor Method ◽  
Flood Vulnerability ◽  
Fuzzy Vikor ◽  
Risk Vulnerability

Abstract. This study proposes an improved group decision making (GDM) framework that combines the VIKOR method with data fuzzification to quantify the spatial flood vulnerability including multiple criteria. In general, GDM method is an effective tool for formulating a compromise solution that involves various decision makers since various stakeholders may have different perspectives on their flood risk/vulnerability management responses. The GDM approach is designed to achieve consensus building that reflects the viewpoints of each participant. The fuzzy VIKOR method was developed to solve multi-criteria decision making (MCDM) problems with conflicting and noncommensurable criteria. This comprising method can be used to obtain a nearly ideal solution according to all established criteria. This approach effectively can propose some compromising decisions by combining the GDM method and fuzzy VIKOR method. The spatial flood vulnerability of the southern Han River using the GDM approach combined with the fuzzy VIKOR method was compared with the spatial flood vulnerability using general MCDM methods, such as the fuzzy TOPSIS and classical GDM methods (i.e., Borda, Condorcet, and Copeland). As a result, the proposed fuzzy GDM approach can reduce the uncertainty in the data confidence and weight derivation techniques. Thus, the combination of the GDM approach with the fuzzy VIKOR method can provide robust prioritization because it actively reflects the opinions of various groups and considers uncertainty in the input data.

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