Green supplier selection by developing a new group decision-making method under type 2 fuzzy uncertainty

Mohammadi, Hamed; Farahani, Farzad V.; Noroozi, Mohammad Ali

doi:10.1007/s00170-017-0458-z

Cited by 24 publications

(10 citation statements)

References 38 publications

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“…In the second stage, the objective criteria weights were determined by the entropy method, and the most suitable suppliers were obtained using the fuzzy MULTIMOORA method. Mohammadi et al [64] presented a group decision-making method for evaluating and ranking green suppliers, in which the relative preference relation was employed to weight selection criteria and the interval type-2 fuzzy MULTIMOORA method was applied for selecting the best green supplier. Liu et al [65] developed a large-scale green supplier selection approach based on q-rung interval-valued orthopair fuzzy sets and the MUL-TIMOORA method, and Liou et al [66] reported a datadriven green supplier evaluation model using the random forest algorithm, the DEMATEL-based ANP, and the multiobjective optimization on the basis of ratio analysis to the aspiration level (MOORA-AS) method.…”

Section: Compromise Methodsmentioning

confidence: 99%

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Green Supplier Evaluation and Selections: A State-of-the-Art Literature Review of Models, Methods, and Applications

Zhang

Liu

et al. 2020

Mathematical Problems in Engineering

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The role of green supplier evaluation and selection (GSES) in supply chain management is increasingly appreciated due to the intensification of competition, raising public consciousness, and environmental issues. To improve GSES, a large number of approaches have been proposed in the past decades. However, few attempts have been made to systematically review and classify the literature in this field. The objective of this study is to afford a comprehensive review of the studies which aim to develop models and methods in helping enterprises to assess and select the right green suppliers. To achieve this goal, a total of 193 journal articles extracted from the Scopus database over the period of 2009 to 2020 were chosen and reviewed. These publications were classified into ten categories based on their adopted GSES models and analyzed concerning the evaluation criteria, criteria weighting methods, and performance evaluation methods. Moreover, a bibliometric analysis was conducted according to the frequency of supplier selection methods, citation number, publication year, journal, country, and application area. This study supports practitioners, managers, and researchers in effectively recognizing and applying the GSES models to enhance organizational competitiveness and provides an insight into its state of the art.

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Section: Compromise Methodsmentioning

confidence: 99%

“…Lead time [20, 30, 51, 57, 73, 86, 92, 93, 96, 103-105, 112, 123-125, 143, 146, 162, 169, 180, 190, 199, 204] 24 On-time delivery [17,30,32,35,61,64,67,72,86,94,108,109,116,121,124,126,136,138,140,153,167,169,170,186,198,209] 26 Service Service quality [24,27,32,35,36,42,43,72,76,79,83,89,96,122,124,145,156,…”

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confidence: 99%

Green Supplier Evaluation and Selections: A State-of-the-Art Literature Review of Models, Methods, and Applications

Zhang

Liu

et al. 2020

Mathematical Problems in Engineering

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“…Fuzzy MOORA: Liu et al (2019c) used the q-rung interval-valued orthopair fuzzy MUL-TIMOORA method to determine the best green supplier. Mohammadi et al (2017) proposed a supplier selection model on the basis of the fuzzy MOORA method. Mi et al (2020) applied the stochastic multi-criteria acceptability analysis integrated with the MULTIMOORA method to select green suppliers.…”

Section: Figure 3 Abstract Co-occurrencementioning

confidence: 99%

An Overview of Fuzzy Techniques in Supply Chain Management: Bibliometrics, Methodologies, Applications and Future Directions

Liao

Zavadskas

2021

Technological and Economic Development of Economy

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Every practice in supply chain management (SCM) requires decision making. However, due to the complexity of evaluated objects and the cognitive limitations of individuals, the decision information given by experts is often fuzzy, which may make it difficult to make decisions. In this regard, many scholars applied fuzzy techniques to solve decision making problems in SCM. Although there were review papers about either fuzzy methods or SCM, most of them did not use bibliometrics methods or did not consider fuzzy sets theory-based techniques comprehensively in SCM. In this paper, for the purpose of analyzing the advances of fuzzy techniques in SCM, we review 301 relevant papers from 1998 to 2020. By the analyses in terms of bibliometrics, methodologies and applications, publication trends, popular methods such as fuzzy MCDM methods, and hot applications such as supplier selection, are found. Finally, we propose future directions regarding fuzzy techniques in SCM. It is hoped that this paper would be helpful for scholars and practitioners in the field of fuzzy decision making and SCM.

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“…In this respect, multiple attribute group decision making (MAGDM) techniques or tools can be used to investigate this problem in a better way (Deng and Gao, 2019;Gao et al, 2019;Li and Lu, 2019;Wang, 2019). MAGDM methods are used to rank suppliers or to choose the most appropriate and favourable supplier on the basis of multiple attributes and many experts (Mohammadi et al, 2017;Paydar and Saidi-Mehrabad, 2017). Many researchers have employed different techniques to select green suppliers.…”

Section: Introductionmentioning

confidence: 99%

Improved CODAS Method Under Picture 2-Tuple Linguistic Environment and Its Application for a Green Supplier Selection

Zhang¹,

Wei²,

Wang³

et al. 2020

Informatica

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In this paper, the CODAS (Combinative Distance-based Assessment) is utilized to address some MAGDM issues by using picture 2-tuple linguistic numbers (P2TLNs). At first, some essential concepts of picture 2-tuple linguistic sets (P2TLSs) are briefly reviewed. Then, the CODAS method with P2TLNs is constructed and all calculating procedures are simply depicted. Eventually, an empirical application of green supplier selection has been offered to demonstrate this novel method and some comparative analysis between the CODAS method with P2TLNs and several methods are also made to confirm the merits of the developed method.

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Green supplier selection by developing a new group decision-making method under type 2 fuzzy uncertainty

Cited by 24 publications

References 38 publications

Green Supplier Evaluation and Selections: A State-of-the-Art Literature Review of Models, Methods, and Applications

Green Supplier Evaluation and Selections: A State-of-the-Art Literature Review of Models, Methods, and Applications

An Overview of Fuzzy Techniques in Supply Chain Management: Bibliometrics, Methodologies, Applications and Future Directions

Improved CODAS Method Under Picture 2-Tuple Linguistic Environment and Its Application for a Green Supplier Selection

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