Green Supplier Selection in Steel Door Industry Using Fuzzy AHP and Fuzzy MOORA Methods

2021 ◽  
Vol 10 (2) ◽  
pp. 1-11
Author(s):  
Seher Arslankaya ◽  
Miraç Tuba Çelik
Keyword(s):  
Supplier Selection ◽  
Fuzzy Ahp ◽  
Green Supplier Selection ◽  
Fuzzy Moora

Integrated FAHP-VIKOR model for green supplier selection in a Nickle coating SME

2020 ◽  
pp. 133-139
Author(s):  
Sanatan Ratna ◽  
B Kumar
Keyword(s):  
Staff Training ◽  
Supplier Selection ◽  
Fuzzy Ahp ◽  
Research Work ◽  
Supplier Evaluation ◽  
Green Supplier Selection ◽  
The Past ◽  
Coating Industry ◽  
Sustainability Issue ◽  
Selection Of

In the past few decades, there has been lot of focus on the issue of sustainability. This has occurred due to the growing concerns related to climate change and the growing awareness about environmental concerns. Also, the competition at global level has led to the search for the most sustainable route in the industries. The current research work deals with the selection of green supplier in a Nickle coating industry based on certain weighted green attributes. For this purpose, a hybrid tool comprising of Fuzzy AHP (Fuzzy Analytical Hierarchy) and VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) is used. The Fuzzy AHP is used for assigning proper weights to the selected criteria for supplier evaluation, while VIKOR is used for final supplier selection based on the weighted criteria. The three criterions for green supplier selection are, Ecological packaging, Corporate socio-environmental responsibility and Staff Training. The outcome of the integrated model may serve as a steppingstone to other SMEs in different sectors for selecting the most suitable supplier for addressing the sustainability issue.

scholarly journals Green Supplier Selection in New Era for Sustainability: A Novel Method for Integrating Big Data Analytics and a Hybrid Fuzzy Multi-Criteria Decision Making

2021 ◽  
Author(s):  
Abdullah YILDIZBASI ◽  
Yağmur ARIOZ
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Data Analysis ◽  
Supplier Selection ◽  
Fuzzy Ahp ◽  
Big Data Analytics ◽  
Integrated Approach ◽  
Big Data Analysis ◽  
Environmentally Conscious ◽  
Green Supplier Selection

Abstract Environmentally conscious supplier selection has become increasingly important in recent years. Green supplier selection is one of the vital decisions of supply chain management, as it is preferred for businesses in the market that adopt an environmental approach and green philosophy in line with material and moral benefits. In this context, the problem of choosing the most efficient green supplier is addressed with a three-step methodology using big data analysis that includes an integrated approach and hybrid fuzzy AHP-TOPSIS techniques. First of all, big data plays an important role in delivering meaningful results by reducing complexity to a more fundamental level. It is possible to obtain more consistent results by examining a series of criteria in green supplier selection at a more reasonable and operational level. Thus, the role of big data analysis provides an input for decision-making, which enables a systematic reduction to more concise data. Then, these inputs are evaluated in a fuzzy environment with hybrid MCDM techniques and the most efficient green supplier is determined among the suppliers. This authentic study sheds light on providing a significant competitive advantage to businesses in line with their strategic targets as well as having environmental contributions to sustainability.

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