A Fuzzy AHP Method for Green Supplier Selection and Evaluation

2018 ◽  
pp. 1355-1366
Author(s):  
Aqsa Zafar ◽  
Muqaddas Zafar ◽  
Adnan Sarwar ◽  
Hassan Raza ◽  
Muhammad Tayyab Khan
Keyword(s):  
Supplier Selection ◽  
Fuzzy Ahp ◽  
Ahp Method ◽  
Green Supplier Selection

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.

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

scholarly journals Implementation of a fuzzy decision support system for selection of hand tractor assembly suppliers

2022 ◽  
pp. 44-52
Author(s):  
Denny Utomo ◽  
Pratikto Pratikto ◽  
Purnomo Budi Santoso ◽  
Sugiono Sugiono
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Supplier Selection ◽  
Manufacturing Industry ◽  
Raw Materials ◽  
Fuzzy Ahp ◽  
Ahp Method ◽  
Fuzzy Method ◽  
Selection Of

Supplier selection is a complex problem in the current Industry 4.0 era. The large number of suppliers with different performance qualities makes it difficult for the company's internal parties to choose the appropriate supplier. The suitability of quality suppliers needed to supply raw materials needed by the industry is an important matter to be resolved. In the hand tractor assembly industry, this small and medium industry is also very dependent on the availability of supply materials, and of course it also depends on the selection of the supplier itself. In this study, the object of research is the 151 hand tractor assembly manufacturing industry using 10 main criteria for selecting suppliers. Each criterion has a weight that is calculated using the Fuzzy AHP method so as to obtain alternative supplier results that are displayed in order. A supplier is a company or individual that provides the raw materials needed by the company and its competitors to produce certain goods. In this study, a decision support system for supplier selection at the company has been developed using the AHP fuzzy method. The results of this study are expected to help companies in selecting suppliers that match the predetermined criteria. In building a decision support system that provides supplier recommendations, the authors apply the AHP fuzzy method in the process. With the Supplier Selection Decision Support System Using the AHP Fuzzy Method, it can help companies in selecting suppliers. Based on the research that has been done, suggestions can be made for a Decision Support System for Supplier Selection Using the Fuzzy AHP Method so that in the future it can facilitate the use of a more dynamic system

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