An Extended Picture Fuzzy VIKOR Approach for Sustainable Supplier Management and Its Application in the Beef Industry

Meksavang, Phommaly; Shi, Hua; Lin, Shu‐Min; Liu, Hu‐Chen

doi:10.3390/sym11040468

Cited by 83 publications

(52 citation statements)

References 51 publications

(81 reference statements)

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“…To illustrate the effectiveness and usefulness of the proposed green supplier selection model, a comparison analysis with the fuzzy GRA [46], the intuitionistic fuzzy TOPSIS [43], the picture fuzzy VIKOR [42], and the linguistic Z-number AQM [13] methods is performed in this part. The sorting results of the five green suppliers obtained by the selected methods are shown in Figure 3.…”

Section: Comparisons and Discussionmentioning

confidence: 99%

“…Phochanikorn and Tan [21] developed an integrated MCDM method through the combination of fuzzy decision-making trial and evaluation laboratory (DEMATEL), fuzzy analytic network process (ANP) and prospect theory to select green suppliers in the palm oil products industry. In addition, many single models have been proposed for sustainable supplier selection, which include the rough cloud TOPSIS [14], the interval 2-tuple TODIM [41], the picture fuzzy VIKOR [42] and the intuitionistic fuzzy TOPSIS [43] methods.…”

Section: Literature Reviewmentioning

confidence: 99%

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Green Supplier Evaluation and Selection with an Extended MABAC Method Under the Heterogeneous Information Environment

Shi

Zhang

et al. 2019

Sustainability

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With the increasing awareness of global environmental protection, green production has become a significant part for enterprises to remain in a competitive position. For a manufacturing company, selecting the most suitable green supplier plays an important role in enhancing its green production performance. In this paper, we develop a new green supplier evaluation and selection model through the combination of heterogeneous criteria information and an extended multi-attributive border approximation area comparison (MABAC) method. Considering the complexity of decision context, heterogeneous information, including real numbers, interval numbers, trapezoidal fuzzy numbers, and linguistic hesitant fuzzy sets, is utilized to evaluate alternative suppliers with respect to the selected criteria. A maximizing consensus approach is constructed to determine the weight of each decision-maker based on incomplete weighting information. Then, the classical MABAC method is modified for ranking candidate green suppliers under the heterogeneous information environment. Finally, the developed green supplier selection model is applied in a case study from the automobile industry to illustrate its practicability and efficiency.

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Section: Comparisons and Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Green Supplier Evaluation and Selection with an Extended MABAC Method Under the Heterogeneous Information Environment

Shi

Zhang

et al. 2019

Sustainability

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“…Definition (Meksavang et al, ; Wei, ). Let p 1 = ⟨ μ 1 , η 1 , ν 1 ⟩ and p 2 = ⟨ μ 2 , η 2 , ν 2 ⟩ be two PiFNs, the comparison laws of p 1 and p 2 are given as below: If S ( p 1 ) > S ( p 2 ), then p 1 is greater than p 2 , expressed as p 1 ≻ p 2 ; If S ( p 1 ) = S ( p 2 ) and H ( p 1 ) = H ( p 2 ), then p 1 equals p 2 , expressed as p 1 ∼ p 2 ; If S ( p 1 ) = S ( p 2 ) and H ( p 1 ) > H ( p 2 ), then p 1 is greater than p 2 , expressed as p 1 ≻ p 2 . …”

Section: Preliminariesmentioning

confidence: 99%

“…Yang, Hu, Liu, and Chen () introduced a group picture hesitant fuzzy approach for alternative selection of end‐of‐life vehicle management in China. Meksavang, Shi, Lin, and Liu () presented a picture fuzzy VIKOR framework for sustainable supplier selection in the beef industry, and Zhang, Wang, Yu, Wang, and Wang () suggested a picture fuzzy consensus decision model for the location selection of offshore wind power station.…”

Section: Introductionmentioning

confidence: 99%

Emergency decision making with extended axiomatic design approach under picture fuzzy environment

2019

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Timely and effective emergency decision making (EDM) is the key to control the spread of disasters and reduce the casualties and property losses caused by emergencies. However, due to limited time and insufficient data, it is difficult for decision makers to provide accurate information about emergency incidents. Moreover, the EDM problems become complicated and unstructured requiring the deployment of advanced mathematical techniques to derive the most acceptable response. In this paper, we propose a new EDM approach by using picture fuzzy sets and axiomatic design technique for determining the optimal rescue plan to reduce the damages of emergencies. The contribution of this paper is to apply the picture fuzzy sets to handle the uncertainty and ambiguity of decision makers' assessments on emergency alternatives, apply the picture fuzzy hybrid averaging operator to aggregate decision makers' opinions into a group evaluation matrix and extend the axiomatic design technique to identify the best emergency solution for EDM. Finally, a real example is provided, and the result is compared with existing methods to demonstrate the feasibility and practicability of our proposed EDM approach.

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“…Dursun et al (2018) considered the competition factor in the process of new product development using QFD [35]. A combination of best-worst method (BWM) and QFD was proposed in order to determine the relation between customer requirements and engineering characteristics in Mei et al (2018) [36].…”

mentioning

confidence: 99%

A Hybrid Plithogenic Decision-Making Approach with Quality Function Deployment for Selecting Supply Chain Sustainability Metrics

et al. 2019

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Supply chain sustainability has become one of the most attractive decision management topics. There are many articles that have focused on this field presenting many different points of view. This research is centred on the evaluation of supply chain sustainability based on two critical dimensions. The first is the importance of evaluation metrics based on economic, environmental and social aspects, and the second is the degree of difficulty of information gathering. This paper aims to increase the accuracy of the evaluation. The proposed method is a combination of quality function deployment (QFD) with plithogenic aggregation operations. The aggregation operation is applied to aggregate: Firstly, the decision maker’s opinions of requirements that are needed to evaluate the supply chain sustainability; secondly, the evaluation metrics based on the requirements; and lastly, the evaluation of information gathering difficulty. To validate the proposed model, this study presented a real world case study of Thailand’s sugar industry. The results showed the most preferred and the lowest preferred metrics in order to evaluate the sustainability of the supply chain strategy.

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An Extended Picture Fuzzy VIKOR Approach for Sustainable Supplier Management and Its Application in the Beef Industry

Cited by 83 publications

References 51 publications

Green Supplier Evaluation and Selection with an Extended MABAC Method Under the Heterogeneous Information Environment

Green Supplier Evaluation and Selection with an Extended MABAC Method Under the Heterogeneous Information Environment

Emergency decision making with extended axiomatic design approach under picture fuzzy environment

A Hybrid Plithogenic Decision-Making Approach with Quality Function Deployment for Selecting Supply Chain Sustainability Metrics

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