A Fuzzy MCDM Approach for Green Supplier Selection from the Economic and Environmental Aspects

Chen, Hsiu Mei Wang; Chou, Shuo‐Yan; Luu, Quoc Dat; Yu, Tiffany Hui‐Kuang

doi:10.1155/2016/8097386

Cited by 73 publications

(37 citation statements)

References 50 publications

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“…Some studies show that two main barriers to GSCM implementation are lack of understanding among the involved actors [80,81], and lack of adequate training [82,83]. Both barriers are factors related to KTT.…”

Section: Relationship Between Gscm and Kttmentioning

confidence: 99%

Knowledge and Technology Transfer Influencing the Process of Innovation in Green Supply Chain Management: A Multicriteria Model Based on the DEMATEL Method

et al. 2019

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After performing a systematic review of the literature, it was noticeable that the discussion regarding Green Supply Chain Management (GSCM) along with Knowledge and Technology Transfer (KTT) and Innovation is scarce. To address this issue, the objective of this paper is to analyze the relationship between GSCM, KTT, and Innovation. To achieve this purpose, we developed a conceptual framework based on the literature review, which raised some hypotheses. In order to verify the hypotheses and validate the framework, we designed a multicriteria model called the KTT-GSCM Multicriteria Model, composed of two stages. The first stage describes factors that are relevant to GSCM, KTT, and Innovation, ascertaining which ones have influence over the others and which ones are influenced by the others, through the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method. The second stage of the model analyzes the level of each perspective in each company and in the supply chain as a whole, thus verifying the hypotheses. This model was applied in 13 firms of a supply chain that has a rotomolding firm as a focal company. Through the development and application of the model, it was possible to verify the hypotheses raised and conclude that the perspectives of GSCM, KTT, and Innovation are, in fact, influenced by one another and that both Innovation and KTT promote greater development in GSCM.

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Section: Relationship Between Gscm and Kttmentioning

confidence: 99%

Knowledge and Technology Transfer Influencing the Process of Innovation in Green Supply Chain Management: A Multicriteria Model Based on the DEMATEL Method

et al. 2019

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“…For example, Lee et al [33] developed a fuzzy analytic hierarchy process (AHP) approach for green supplier selection in a high-tech industry. Both Chen et al [34] and Yazdani [35] constructed an integrated fuzzy multiple criteria decision making approach to obtain the best green supplier, which is composed of fuzzy AHP and technique for order performance by similarity to ideal solution (TOPSIS) methods. Combined with AHP and entropy, elimination and choice expressing the reality III (ELECTRE III) methods, Tsui and Wen [36] proposed an approach for selecting a green supplier, and several improvement suggestions were presented to raise the performance of suppliers.…”

Section: Green Supplier Selection Approachesmentioning

confidence: 99%

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

Wang

2018

Symmetry

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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.

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“…Sultana, Ahmed, and Azeem (2015) developed an integrated approach for multi-attribute supplier selection using fuzzy Delphi, fuzzy AHP and fuzzy TOPSIS approaches. Wang Chen, Chou, Luu, and Yu (2016) presented a fuzzy MADM approach for green supplier selection with respect to economic and environmental criteria by using the AHP and TOPSIS methods. This hybrid approach was also applied in the research of Tadic, Milanovic, Misita, andTadic (2011), Bhayana, Kaur, andJha (2015) and Hamdan and Cheaitou (2015).…”

Section: Ahp-topsismentioning

confidence: 99%

Supplier evaluation and selection in fuzzy environments: a review of MADM approaches

Ghorabaee

Amiri

Zavadskas

et al. 2017

Economic Research-Ekonomska Istraživanja

122

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In past years, the multi-attribute decision-making (MADM) approaches have been extensively applied by researchers to the supplier evaluation and selection problem. Many of these studies were performed in an uncertain environment described by fuzzy sets. This study provides a review of applications of MADM approaches for evaluation and selection of suppliers in a fuzzy environment. To this aim, a total of 339 publications were examined, including papers in peer-reviewed journals and reputable conferences and also some book chapters over the period of 2001 to 2016. These publications were extracted from many online databases and classified in some categories and subcategories according to the MADM approaches, and then they were analysed based on the frequency of approaches, number of citations, year of publication, country of origin and publishing journals. The results of this study show that the AHP and TOPSIS methods are the most popular approaches. Moreover, China and Taiwan are the top countries in terms of number of publications and number of citations, respectively. The top three journals with highest number of publications were:

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A Fuzzy MCDM Approach for Green Supplier Selection from the Economic and Environmental Aspects

Cited by 73 publications

References 50 publications

Knowledge and Technology Transfer Influencing the Process of Innovation in Green Supply Chain Management: A Multicriteria Model Based on the DEMATEL Method

Knowledge and Technology Transfer Influencing the Process of Innovation in Green Supply Chain Management: A Multicriteria Model Based on the DEMATEL Method

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

Supplier evaluation and selection in fuzzy environments: a review of MADM approaches

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