scholarly journals AHP AND FUZZY TOPSIS METHODS FOR GREEN SUPPLIER SELECTION AND EVALUATION.

2017 ◽  
Vol 5 (3) ◽  
pp. 625-635
Author(s):  
Adnan Sarwar ◽  
◽  
Jiuping Xu ◽  
Ziqiang Zeng ◽  
Muhammad Hashim. ◽  
...  
Keyword(s):  
Supplier Selection ◽  
Fuzzy Topsis ◽  
Green Supplier Selection

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

Mathematics ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 182 ◽  
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.

scholarly journals A New Fuzzy TOPSIS-TODIM Hybrid Method for Green Supplier Selection Using Fuzzy Time Function

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Alireza Arshadi Khamseh ◽  
Mahdi Mahmoodi
Keyword(s):  
Supplier Selection ◽  
Selection Criteria ◽  
Carbon Emission ◽  
Fuzzy Topsis ◽  
Time Function ◽  
Loss Functions ◽  
Green Supply Chain ◽  
Green Supplier Selection ◽  
The World ◽  
Multicriteria Method

Today green supply chain is considered all around the world and supplier selection has been changed regarding these green and carbon emission criteria, so green supplier selection has been a major problem in this area. In this study we use fuzzy time function to assist managers in green supplier selection under uncertainty and ambiguity. This function will consider derivation from the goal during the time and by using it, and we will be able to have the best supplier in every period after having some modification in legal limitations for green supplier selection criteria. We use a fuzzy TOPSIS to have better initial weighting in TODIM, a discrete multicriteria method based on prospect theory in uncertainty (known as TODIM in Portuguese) decision making method. The results indicated that our proposed approach can easily and effectively accommodate criteria with gains and loss functions during time and also by using this method we will have a more reasonable predict of our suppliers ranking in future and that will help us in future investment in these suppliers. Finally it has been shown in car industries in Iran.

scholarly journals Green supplier selection for the steel industry using BWM and fuzzy TOPSIS: A case study of Khouzestan steel company

2020 ◽  
Vol 2 ◽  
pp. 100012 ◽  
Author(s):  
Mahsa Oroojeni Mohammad Javad ◽  
Maryam Darvishi ◽  
Arash Oroojeni Mohammad Javad
Keyword(s):  
Steel Industry ◽  
Supplier Selection ◽  
Fuzzy Topsis ◽  
Steel Company ◽  
Green Supplier Selection ◽  
Selection For

scholarly journals q-Rung Orthopair Fuzzy TOPSIS Method for Green Supplier Selection Problem

2021 ◽  
Vol 13 (2) ◽  
pp. 985
Author(s):  
Adem Pınar ◽  
Rouyendegh Babak Daneshvar ◽  
Yavuz Selim Özdemir
Keyword(s):  
Supplier Selection ◽  
Fuzzy Topsis ◽  
Problem Structure ◽  
Topsis Method ◽  
Green Supplier Selection ◽  
Selection Problems ◽  
Environmental Criteria ◽  
Selection Approach ◽  
Intuitionistic Fuzzy Topsis ◽  
Supplier Selection Problem

Supply chain management is to improve competitive stress. In today’s world, competitive terms and customer sense have altered in favor of an environmentalist manner. As a result of this, green supplier selection has become a very important topic. In the green supplier selection approach, agility, lean process, sustainability, environmental sensitivity, and durability are pointed. Like the classical supplier selection problems, environmental criteria generally emphasize green supplier selection. However, these two problem approaches are different from each other in terms of carbon footprint, water consumption, environmental and recycling applications. Due to the problem structure, a resolution is defined that includes an algorithm based on q-Rung Orthopair Fuzzy (q-ROF) TOPSIS method. Brief information about q-ROF sets is given before the methodology of the q-ROF model is introduced. By using the proposed method and q-ROF sets, an application was made with today’s uncertain conditions. In the conclusion part, a comparison is made with classical TOPSIS, Intuitionistic Fuzzy TOPSIS and q-ROF TOPSIS methodology. As a result, more stable and accurate results are obtained with q-ROF TOPSIS.

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

2018 ◽  
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 competitive market. Organizations of today’s world are seeking new ways to reduce negative effects of their organizations to the environment and to reach a greener system. At this point, green supplier selection concept has gained great importance with its ability on incorporating environmental or green criteria into the classical supplier selection practices. Therefore, in this study, it is aimed at proposing a multi-phase MCDM model based on Best-Worst Method (BWM) and interval type-2 fuzzy technique for order preference by similarity to ideal solution (TOPSIS). A case study in a plastic injection molding facility in Turkey is performed to show the applicability of the proposed integrated methodology. The paper ensures insights into the decision making, methodology, and managerial implications. Results of the case study are examined and suggestions for future research are provided.

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