A Multi-Criteria Group Decision Making Model for Green Supplier Selection under the Ordered Weighted Hesitant Fuzzy Environment

Liu, Yumin; Jin, Lei; Zhu, Feng

doi:10.3390/sym11010017

Cited by 18 publications

(16 citation statements)

References 66 publications

(77 reference statements)

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“…Step 2. The collective picture fuzzy evaluation matrix R = r ij m×n of the suppliers is obtained by Equation (11). Table 4 displays the aggregated picture fuzzy evaluations of the alternatives.…”

Section: Implementation Resultsmentioning

confidence: 99%

“…Liu et al [41] combined triangular fuzzy numbers, AHP, and TOPSIS to improve the sustainable performance of an agri-food value chain. Liu et al [11] developed an ordered weighted hesitant fuzzy group decision-making model for green supplier selection, and Wang et al [14] proposed a MCDM method with q-rung interval-valued orthopair fuzzy information to solve the green supplier selection problem. Lu et al [42] proposed the use of cloud model and possibility degree for green supplier selection in the straw biomass industry, and Xu et al [43] applied the sorting method, AHPSort II, and interval type-2 fuzzy sets for sustainable material supplier selection.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Unsuitable suppliers will increase the production and inventory costs, lower product quality, and ultimately decrease profitability and customer satisfaction [7,8]. Therefore, in recent years, ranking and selecting sustainable suppliers has achieved a considerable amount of attention among researchers and practitioners who are attempting to move towards sustainable production [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2019

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Nowadays, sustainable supply chain management (SSCM) has received considerable attention because of strict government requirements and increased pressure from the public. In the SSCM, selecting suitable suppliers plays a significant role in improving the overall sustainability performance of a company. Therefore, this article aims to develop a modified VIKOR (in Serbian: VlseKriterijumska Optimizacija I Kompromisno Resenje) technique for sustainable supplier evaluation and selection, that uses ordered weighted distance operators in the aggregation of picture fuzzy information. Concretely, we first propose the picture fuzzy-ordered weighted standardized distance (PFOWSD) operator and the picture fuzzy Euclidean-ordered weighted standardized distance (PFEOWSD) operator, and extended them by using the hybrid average operator. Then, we develop a sustainable supplier selection approach by combining the picture fuzzy distance operators and the VIKOR method. The new approach can manipulate attitudinal character of the classical VIKOR method, so that a decision maker can take decisions according to his or her preference. Further, by using the PFOWSD operator, one can parametrize the VIKOR method from the maximum to the minimum result. Thus, the information obtained using the new sustainable supplier selection approach is much more complete. Finally, a practical case example in the beef supply chain is given to explain the proposed picture fuzzy-ordered weighted distance (PFOWD)-VIKOR model, and the results are compared with current relevant representative approaches to verify its feasibility and superiority.

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Section: Implementation Resultsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2019

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“…With the increasing public concern over the environment and strict government policies, lean and green thinking has emerged as an attractive scheme to increase the profitability for businesses and to improve the environmental protection [1,2]. Sustainable Supply Chain Management (SSCM) is a broader idea which aims to enhance the company's social, economic, and environmental objectives and eliminate the waste of resources [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Hesitant Fuzzy SWARA-Complex Proportional Assessment Approach for Sustainable Supplier Selection (HF-SWARA-COPRAS)

et al. 2020

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The selection of sustainable supplier is an extremely important for sustainable supply chain management (SSCM). The assessment process of sustainable supplier selection is a complicated task for decision experts due to involvement of several qualitative and quantitative criteria. As the uncertainty is commonly occurred in sustainable supplier selection problem and hesitant fuzzy set (HFS), an improvement of Fuzzy Set (FS), has been proved as one of the efficient and superior ways to express the uncertain information arisen in practical problems. The present study proposes a novel framework based on COPRAS (Complex Proportional Assessment) method and SWARA (Step-wise Weight Assessment Ratio Analysis) approach to evaluate and select the desirable sustainable supplier within the HFSs context. In the proposed method, an extended SWARA method is employed for determining the criteria weights based on experts’ preferences. Next, to illustrate the efficiency and practicability of the proposed methodology, an empirical case study of sustainable supplier selection problem is taken under Hesitant Fuzzy (HF) environment. Further, sensitivity analysis is performed to check the stability of the presented methodology. At last, a comparison with existing methods is conducted to verify the strength of the obtained result. The final outcomes confirm that the developed framework is more consistent and powerful than other existing approaches.

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“…In view of the uncertainty in the decision-making process, Deveci [48] integrated the PCA and QFD methods with interval-valued intuitionistic fuzzy sets, aiming to evaluate service quality in public bus transportation. In recent years, the research on MCDM problems with hesitant fuzzy sets has become a hot topic [49][50][51][52][53]. However, the approach of HMCDM with hesitant fuzzy information has not yet been seen.…”

Section: Introductionmentioning

confidence: 99%

An Interactive Decision-Making Method for Third-Party Logistics Provider Selection under Hybrid Multi-Criteria

Liu

Zhou

et al. 2020

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Due to the complexity and uncertainty of third-party logistics (3PL) provider selection circumstances, the research on the hybrid multi-criteria decision-making (HMCDM) method with fuzzy hesitation information is becoming more and more important. Based on symmetry principles, both the objectivity of the decision information and the subjectivity of decision makers’ (DMs) preferences should be considered in the HMCDM method. In this paper, a novel interactive decision-making method to deal with the 3PL provider selection problem of hesitant fuzzy sets, intuitionistic fuzzy sets and real numbers is developed. We first investigate the positive and negative ideal solutions of the alternative and the satisfaction degree of the DMs under hybrid multi-criteria circumstances. Then, the interactive HMCDM models based on satisfaction degrees are established, which can use objective decision information to rank alternatives and, symmetrically, the preference information of the DMs is also taken into account. DMs can modify their preference information using the models and thus make the most reasonable selection of 3PL provider. Finally, the case analysis and sensitivity analysis show that the change of parameter and the setting of the satisfaction lower limit will not affect the optimal rank of alternatives, and the feasibility of the proposed method is confirmed.

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A Multi-Criteria Group Decision Making Model for Green Supplier Selection under the Ordered Weighted Hesitant Fuzzy Environment

Cited by 18 publications

References 66 publications

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

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

Hesitant Fuzzy SWARA-Complex Proportional Assessment Approach for Sustainable Supplier Selection (HF-SWARA-COPRAS)

An Interactive Decision-Making Method for Third-Party Logistics Provider Selection under Hybrid Multi-Criteria

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