New Integrated Quality Function Deployment Approach Based on Interval Neutrosophic Set for Green Supplier Evaluation and Selection

Van, Luu Huu; Yu, Vincent F.; Dat, Luu Quoc; Dung, Canh Chi; Chou, Shuo Yan; Loc, Nguyen Viet

doi:10.3390/su10030838

Cited by 50 publications

(25 citation statements)

References 59 publications

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“…Tseng et al [5] employed an interval-valued triangular fuzzy numbers-GRA method with cost and benefit concerns to assist purchase managers in green supply supplier selection. Van et al [7] used a hybrid approach using quality function deployment, interval neutrosophic sets, and TOPSIS method in support of green supplier selection. Zhou and Xu [9] put forward an integrated evaluation method based on hybrid information aggregation for sustainable supplier selection, and Zhu and Li [2] introduced a green supplier selection model by combing the consensus process, prioritized operator, and Choquet integral under the hesitant fuzzy linguistic environment.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Supplier selection based on sustainability criteria represents a strategic decision and is regarded as a crucial concern in the implementation of SSCM. 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: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2019

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“…As a significant part of GSCM, green supplier selection is a strategic decision that can enhance the business performance and competitive advantage of a manufacturing firm [7][8][9]. Since raw materials, services, and finished products are provided by suppliers as inputs to supply chains, the performance of manufacturers is directly affected by their suppliers' performance.…”

Section: Introductionmentioning

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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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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“…Then the experts' evaluation about the investment in the automotive industry can be expressed as A = {0.5, 0.2, 0.6}. Since the introduction of neutrosophic set, neutrosophic numbers are widely used in pattern recognition, supplier evaluation and engineering optimisations, we can see [17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Cosine Distance Measure between Neutrosophic Hesitant Fuzzy Linguistic Sets and Its Application in Multiple Criteria Decision Making

2018

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This paper proposes a neutrosophic hesitant fuzzy linguistic term set (NHFLTS) based on hesitant fuzzy linguistic term set (HFLTS) and neutrosophic set (NS), which can express the inconsistent and uncertainty information flexibly in multiple criteria decision making problems. The basic operational laws of NHFLTS based on linguistic scale function are also discussed. Then we propose the generalized neutrosophic hesitant fuzzy linguistic distance measure and discuss its properties. Furthermore, a new similarity measure of NHFLTS combines the generalized neutrosophic hesitant fuzzy linguistic distance measure and the cosine function is given. A corresponding cosine distance measure between NHFLTSs is proposed according to the relationship between the similarity measure and the distance measure, and we develop the technique for order preference by similarity to an ideal solution (TOPSIS) method to the obtained cosine distance measure. The main advantages of the proposed NHFLTS is defined on linguistic scale function, the decision makers can flexibly convert the linguistic information to semantic values, and the proposed cosine distance measure between NHFLTSs with TOPSIS method can deal with the related decision information not only from the point of view of algebra, but also from the point of view of geometry. Finally, the reasonableness and effectiveness of the proposed method is demonstrated by the illustrative example, which is also compared to the other existing methods.

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New Integrated Quality Function Deployment Approach Based on Interval Neutrosophic Set for Green Supplier Evaluation and Selection

Cited by 50 publications

References 59 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

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

Cosine Distance Measure between Neutrosophic Hesitant Fuzzy Linguistic Sets and Its Application in Multiple Criteria Decision Making

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