Green Supplier selection for plastic industry using integrated model based on Pythagorean fuzzy AHP and fuzzy TOPSIS

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.

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

Emerging Materials Research ◽

10.1680/jemmr.21.00011 ◽

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

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An Integrated Best-Worst and Interval Type-2 Fuzzy TOPSIS Methodology for Green Supplier Selection

Mathematics ◽

10.3390/math7020182 ◽

2019 ◽

Vol 7 (2) ◽

pp. 182 ◽

Cited By ~ 18

Author(s):

Melih Yucesan ◽

Suleyman Mete ◽

Faruk Serin ◽

Erkan Celik ◽

Muhammet Gul

Keyword(s):

Decision Making ◽

Supplier Selection ◽

Fuzzy Topsis ◽

Future Research ◽

Negative Effects ◽

Green Supplier Selection ◽

Managerial Implications ◽

Interval Type

Supplier selection is one of the most important multi-criteria decision-making (MCDM) problems for decision-makers in the competitive market. Today’s organizations are seeking new ways to reduce the negative effects they have on the environment and to achieve a greener system. Currently, the concept of green supplier selection has gained great importance for its ability to incorporate environmental or green criteria into classical supplier selection practices. Therefore, in this study, a multi-phase MCDM model based on the best-worst method (BWM) and the interval type-2 fuzzy technique for order preference by similarity to ideal solution (IT2F TOPSIS) is proposed. A case study in a plastic injection molding facility in Turkey was carried out to show the applicability of the proposed integrated methodology. The paper offers insights into decision-making, methodology, and managerial implications. Results of the case study are examined and suggestions for future research are provided.

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Supplier Selection in a Construction Company Using Fuzzy AHP and Fuzzy TOPSIS

Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-030-23756-1_60 ◽

2019 ◽

pp. 481-487

Author(s):

Ayse Nur Karabayir ◽

Ahmet Reha Botsali ◽

Yildiz Kose ◽

Emre Cevikcan

Keyword(s):

Supplier Selection ◽

Fuzzy Ahp ◽

Fuzzy Topsis ◽

Construction Company

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An efficient supplier selection model for hospital pharmacy through fuzzy AHP and fuzzy TOPSIS

International Journal of Services and Operations Management ◽

10.1504/ijsom.2019.101588 ◽

2019 ◽

Vol 33 (4) ◽

pp. 468

Author(s):

P. Manivel ◽

Rajesh Ranganathan

Keyword(s):

Hospital Pharmacy ◽

Supplier Selection ◽

Fuzzy Ahp ◽

Fuzzy Topsis ◽

Selection Model

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An integrated supplier selection approach incorporating decision maker’s risk attitude using ANN, AHP and TOPSIS methods

Kybernetes ◽

10.1108/k-04-2019-0223 ◽

2019 ◽

Vol 49 (9) ◽

pp. 2263-2284 ◽

Cited By ~ 1

Author(s):

Chunxia Yu ◽

Zhiqin Zou ◽

Yifan Shao ◽

Fengli Zhang

Keyword(s):

Supplier Selection ◽

Selection Process ◽

Fuzzy Ahp ◽

Evaluation Criteria ◽

Risk Attitude ◽

Integrated Approach ◽

Fuzzy Topsis ◽

Ann Model ◽

Content Type ◽

Selection Approach

Purpose The purpose of this paper is to develop a novel integrated supplier selection approach incorporating decision maker’s risk attitude using the artificial neural network (ANN), analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) methods. Design/methodology/approach In the proposed approach, the ANN model is used to classify decision maker’s risk attitude; the fuzzy AHP method is used to determine the relative weights of evaluation criteria; and the fuzzy TOPSIS method is used to evaluate ratings of suppliers. Finally, experiments are conducted to verify the feasibility and efficiency of the proposed integrated approach. Findings Experiments results show that the proposed integrated approach is effective and efficient to help decision makers to select suitable suppliers according to their risk attitudes. Originality/value The aim of this paper is to develop a novel integrated supplier selection approach incorporating decision maker’s risk attitude using the ANN, AHP and TOPSIS methods. The decision maker’s risk attitude toward procurement transaction is originally considered in supplier selection process.

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