Green supplier selection in steel industry with intuitionistic fuzzy Taxonomy method

2020 ◽  
Vol 39 (5) ◽  
pp. 7247-7258
Author(s):  
Lu Xiao ◽  
Siqi Zhang ◽  
Guiwu Wei ◽  
Jiang Wu ◽  
Cun Wei ◽  
...  
Keyword(s):  
Steel Industry ◽  
Supplier Selection ◽  
Correlation Method ◽  
Green Supply Chain ◽  
Weighting Method ◽  
Green Supplier Selection ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Environment ◽  
Multiple Attribute ◽  
Criteria Importance

Since people around the world have gradually attached importance to resource conservation, various countries are actively taking measures to promote environmental protection and sustainable development. Green supply chain management (GSCM) have emerged in this context. Thus, in this essay, a novel intuitionistic fuzzy multiple attribute group decision making (MAGDM) method is designed to tackle this issue. First of all, CRITIC (Criteria Importance Through Inter-criteria Correlation) method is utilized to determine the weights of criteria. Later, the conventional Taxonomy method is extended to the intuitionistic fuzzy environment to compute the value of development attribute of each supplier. Then, the optimal one can be determined. Eventually, an application about green supplier selection in steel industry is presented, and a comparative analysis is made to demonstrate the superiority of the proposed method. The main features of the proposed algorithm are that they provide a practical solution for selecting GSCM and presents an objective weighting method to enhance the effectiveness of the algorithm.

Interval-valued intuitionistic fuzzy multiple attribute decision making and their applications

2021 ◽  
Vol 25 (2) ◽  
pp. 251-277
Author(s):  
Hong-Jun Wang
Keyword(s):  
Supplier Selection ◽  
Fuzzy Numbers ◽  
Multiple Attribute Decision Making ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Intuitionistic Fuzzy Numbers ◽  
Intuitionistic Fuzzy ◽  
Operator Interval ◽  
Multiple Attribute ◽  
Interval Valued

In this paper, we expand the Muirhead mean (MM) operator and dual Muirhead mean (DMM) operator with interval-valued intuitionistic fuzzy numbers (IVIFNs) to propose the interval -valued intuitionistic fuzzy Muirhead mean (IVIFMM) operator, interval-valued intuitionistic fuzzy weighted Muirhead mean (IVIFWMM) operator, interval-valued intuitionistic fuzzy dual Muirhead mean (IVIFDMM) operator and interval-valued intuitionistic fuzzy weighted dual Muirhead mean (IVIFWDMM) operator. Then the MADM methods are proposed with these operators. In the end, we utilize an applicable example for green supplier selection in green supply chain management to prove the proposed methods.

Green Supplier Selection Using Improved TOPSIS and Best-Worst Method Under Intuitionistic Fuzzy Environment

Informatica ◽  
2018 ◽  
Vol 29 (4) ◽  
pp. 773-800 ◽  
Author(s):  
Zhang-Peng Tian ◽  
Hong-Yu Zhang ◽  
Jian-Qiang Wang ◽  
Tie-Li Wang
Keyword(s):  
Supplier Selection ◽  
Green Supplier Selection ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Environment ◽  
Best Worst Method

scholarly journals A Novel Approach for Green Supplier Selection under a q-Rung Orthopair Fuzzy Environment

Symmetry ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 687 ◽  
Author(s):  
Rui Wang ◽  
Yanlai Li
Keyword(s):  
Supplier Selection ◽  
Weighted Average ◽  
Economic Benefits ◽  
Decision Makers ◽  
Weighting Method ◽  
Green Supplier Selection ◽  
Fuzzy Environment ◽  
Novel Approach ◽  
Evaluation Matrix ◽  
Evaluation Information

With environmental issues becoming increasingly important worldwide, plenty of enterprises have applied the green supply chain management (GSCM) mode to achieve economic benefits while ensuring environmental sustainable development. As an important part of GSCM, green supplier selection has been researched in many literatures, which is regarded as a multiple criteria group decision making (MCGDM) problem. However, these existing approaches present several shortcomings, including determining the weights of decision makers subjectively, ignoring the consensus level of decision makers, and that the complexity and uncertainty of evaluation information cannot be adequately expressed. To overcome these drawbacks, a new method for green supplier selection based on the q-rung orthopair fuzzy set is proposed, in which the evaluation information of decision makers is represented by the q-rung orthopair fuzzy numbers. Combined with an iteration-based consensus model and the q-rung orthopair fuzzy power weighted average (q-ROFPWA) operator, an evaluation matrix that is accepted by decision makers or an enterprise is obtained. Then, a comprehensive weighting method can be developed to compute the weights of criteria, which is composed of the subjective weighting method and a deviation maximization model. Finally, the TODIM (TOmada de Decisao Interativa e Multicritevio) method, based on the prospect theory, can be extended into the q-rung orthopair fuzzy environment to obtain the ranking result. A numerical example of green supplier selection in an electric automobile company was implemented to illustrate the practicability and advantages of the proposed approach.

scholarly journals Models for MADM with Single-Valued Neutrosophic 2-Tuple Linguistic Muirhead Mean Operators

Mathematics ◽  
2019 ◽  
Vol 7 (5) ◽  
pp. 442 ◽  
Author(s):  
Jie Wang ◽  
Jianping Lu ◽  
Guiwu Wei ◽  
Rui Lin ◽  
Cun Wei
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Supplier Selection ◽  
Multiple Attribute Decision Making ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Chain Management ◽  
Green Supplier Selection ◽  
Multiple Attribute

In this article, we expand the Muirhead mean (MM) operator and dual Muirhead mean (DMM) operator with single-valued neutrosophic 2-tuple linguistic numbers (SVN2TLNs) to propose the single-valued neutrosophic 2-tuple linguistic Muirhead mean (SVN2TLMM) operator, the single-valued neutrosophic 2-tuple linguistic weighted Muirhead mean (SVN2TLWMM) operator, the single-valued neutrosophic 2-tuple linguistic dual Muirhead mean (SVN2TLDMM) operator, and the single-valued neutrosophic 2-tuple linguistic weighted dual Muirhead mean (SVN2TLWDMM) operator. Multiple attribute decision making (MADM) methods are then proposed using these operators. Finally, we utilize an applicable example for green supplier selection in green supply chain management to prove the proposed methods.

scholarly journals COPRAS METHOD FOR MULTIPLE ATTRIBUTE GROUP DECISION MAKING UNDER PICTURE FUZZY ENVIRONMENT AND THEIR APPLICATION TO GREEN SUPPLIER SELECTION

2021 ◽  
Vol 27 (2) ◽  
pp. 369-385
Author(s):  
Jianping Lu ◽  
Siqi Zhang ◽  
Jiang Wu ◽  
Yu Wei
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Supplier Selection ◽  
Group Decision ◽  
Assessment Method ◽  
Utilization Rate ◽  
Green Supplier Selection ◽  
Multiple Attribute ◽  
Criteria Importance ◽  
Copras Method

The green supplier selection (GSS) is a significant part in green supply chain management (GSCM). Choosing optimal green supplier can not only realize the sustainable development of enterprises, but also maximize the utilization rate of resources and diminish the negative effect of environmental issues, which conforms to the theme of green development. As a multiple attribute group decision-making (MAGDM) issue, selecting optimal green supplier is of vital important to enterprises. However, how to select the optimal supplier for enterprises is a great challenge. To handle this issue, a novel picture fuzzy COPRAS (COmplex PRoportional Assessment) method is devised. First, some necessary theories related to picture fuzzy sets (PFSs) are briefly reviewed. In addition, a method called CRITIC (Criteria Importance Though Intercrieria Correlation) is utilized to calculate criteria’s weights. Afterwards, the conventional COPRAS method is extended to the PFSs to calculate each alternative’s utility degree. At last, the designed method is exacted to an application which is related to GSS and there also conduct some comparative analysis to demonstrate the designed method’s superiority. The final results show that the proposed model can be utilized to decide the optimum green supplier.

CPT-MABAC method for spherical fuzzy multiple attribute group decision making and its application to green supplier selection

2021 ◽  
pp. 1-11
Author(s):  
Huiyuan Zhang ◽  
Guiwu Wei ◽  
Xudong Chen
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Supplier Selection ◽  
Group Decision ◽  
Comparison Method ◽  
Entropy Method ◽  
Decision Makers ◽  
Green Supplier Selection ◽  
Multiple Attribute ◽  
Psychological Perceptions

The green supplier selection is one of the popular multiple attribute group decision making (MAGDM) problems. The spherical fuzzy sets (SFSs) can fully express the complexity and fuzziness of evaluation information for green supplier selection. Furthermore, the classic MABAC (multi-attributive border approximation area comparison) method based on the cumulative prospect theory (CPT-MABAC) is designed, which is an optional method in reflecting the psychological perceptions of decision makers (DMs). Therefore, in this article, we propose a spherical fuzzy CPT-MABAC (SF-CPT-MABAC) method for MAGDM issues. Meanwhile, considering the different preferences of DMs to attribute sets, we obtain the objective weights of attributes through entropy method. Focusing on the current popular problems, this paper applies the proposed method for green supplier selection and proves for green supplier selection based on SF-CPT-MABAC method. Finally, by comparing existing methods, the effectiveness of the proposed method is certified.

scholarly journals Sustainable procurement practices in the supplier selection process: an exploratory study in the context of Brazilian manufacturing companies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alex Moysés Barbanti ◽  
Rosley Anholon ◽  
Izabela Simon Rampasso ◽  
Vitor William Batista Martins ◽  
Osvaldo Luiz Gonçalves Quelhas ◽  
...  
Keyword(s):  
Supplier Selection ◽  
Local Community ◽  
Manufacturing Sector ◽  
Selection Process ◽  
Correlation Method ◽  
Manufacturing Companies ◽  
Content Type ◽  
Sustainable Procurement ◽  
Starting Point ◽  
Criteria Importance

Purpose This paper aims to evaluate the adoption of sustainable procurement practices adopted by Brazilian manufacturing companies in supplier selection; additionally, it is aimed to understand which of these practices enable a better differentiation of the analysed companies. Design/methodology/approach A systematic literature review was performed to compose the theoretical base of this research. In addition, a detailed study of ISO 20400 standard was conducted. The guidelines of ISO 20400 were used as a base to structure a questionnaire used in a survey with professionals working in procurement sphere of manufacturing companies in Brazil. The data were analysed via frequency and CRITIC (Criteria Importance Through Intercriteria Correlation) method. Findings A moderate dispersion in the adoption level of sustainable procurement practices in supplier selection process of the manufacturing companies was observed; in practices associated with social aspects, the dispersion is greater. A negative issue to be highlighted is that almost 20% of analysed companies did not even considered in their supplier selection process if their candidates accomplish philanthropic activities, generate jobs in local community and fulfill the Universal Declaration of Human Rights of United Nations (UN). Those two last practices are the ones with the best capacity to differ the companies in the sample. Originality/value There are few studies that focuses on understanding the adoption of sustainable procurement practices in manufacturing companies' supplier selection process. The main contribution of this study to the literature is to evidence that social requirements in supplier selection process are considered in a clear and well-structured form only by few Brazilian manufacturing companies. Despite the sample size, companies analysed in this research are prominent organisations in manufacturing sector. Thus, if this situation occurs in these companies, a more critical scenario will be evidenced in other organisations. This study has implication for practice and academy. For companies' managers, information present here can be used to debate the theme in the organisational context and the nine practices and scale can be used to perform a critical analysis of company's practices. For researchers, the information present here can be used as starting point for futures studies.

scholarly journals GREEN SUPPLIER SELECTION PRACTICES AND ITS IMPLICATIONS OF GREEN PURCHASING: CASE STUDY AT 5 STARS HOTEL IN BALI

2020 ◽  
Vol 4 (2) ◽  
pp. 140-149
Author(s):  
I Ketut Astawa ◽  
◽  
I Ketut Budarma ◽  
Cokorda Istri Sri Widhari ◽  
◽  
...  
Keyword(s):  
Supplier Selection ◽  
Environmentally Friendly ◽  
Green Supply Chain ◽  
Green Supplier Selection ◽  
Descriptive Research ◽  
Market Opportunities ◽  
Green Purchasing ◽  
Green Suppliers ◽  
Selection Of

Purpose: The purpose of this study is to examine the practice of selecting green suppliers conducted by companies to be environmentally friendly and how these practices have implications for purchasing green products in 5-star hotels in Bali. Research methods: This study is guided by the green supply chain management model and the green selection model. A descriptive research design is used. Data were collected using a questionnaire. The population consists of 63 employees from companies that supply room supplies, food & beverage, chemical, and Spa. Data were analyzed using SPSS and presented using tables, graphs, frequencies, and percentages. Results and discussions: The study revealed that the selection of environmentally friendly suppliers had a positive and significant effect on the implementation of environmentally friendly purchases. The implications of selecting green suppliers create new market opportunities. Hotel cooperation with suppliers is getting closer and mutually committed to operational purchasing activities. Conclusion: The study revealed that the selection of environmentally friendly suppliers had a positive and significant effect on the implementation of environmentally friendly purchases. The indication was that green supplier selection is a major factor that influences the implementation of green purchasing at 5 stars hotel in Bali.

scholarly journals An Integrated Multi-Criteria Decision-Making Model Based on Prospect Theory for Green Supplier Selection under Uncertain Environment: A Case Study of the Thailand Palm Oil Products Industry

2019 ◽  
Vol 11 (7) ◽  
pp. 1872 ◽  
Author(s):  
Patchara Phochanikorn ◽  
Chunqiao Tan
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Prospect Theory ◽  
Palm Oil ◽  
Supplier Selection ◽  
Large Scale ◽  
Oil Products ◽  
Green Supply Chain ◽  
Fuzzy Decision Making ◽  
Green Supplier Selection

Environmental concerns have globally driven the encouragement of green supply chain management. Accordingly, business and industrial organizations try to seek green supply chain strategies to respond to market pressure regarding corporate social responsibility. Green supplier selection is one of the practical strategies for modern enterprises. With the large-scale development of the palm oil products industry, green supplier selection technique is the key for decision making when dealing with mass information and possible risks of biased data. For instance, the preference of decision makers possibly causes a misleading decision, thus leading to unnecessary waste of resources. Therefore, the contribution of this paper is to apply the integrated multi-criteria decision method using the ‘fuzzy decision-making trial and evaluation laboratory’ (fuzzy DEMATEL) method to consider the cause and effect relationship and then using fuzzy analytic network process (fuzzy ANP) to assign the weight of each relevant criteria. The initial results are useful for strategic procurement planning. In the final step, we adopt the prospect theory to synthesize procurement’s psychological and behavioral factors when selecting green suppliers. The final result refers to the comprehensive prospect value to rank the eligible suppliers into orders. Moreover, the results of both sensitivity analysis and comparison method confirm that the proposed model is adequately realistic and robust.

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