A novel interval type-2 fuzzy evaluation model based group decision analysis for green supplier selection problems: A case study of battery industry

Mousakhani, Saeed; Nazari-Shirkouhi, Salman; Bozorgi-Amiri, Ali

doi:10.1016/j.jclepro.2017.08.154

Cited by 93 publications

(41 citation statements)

References 54 publications

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“…Shi et al [15] solve the problem of green supplier selection with uncertain linguistic information by firstly adapting interval-valued intuitionistic uncertain linguistic sets (IVIULSs) to minimize uncertainties of decision makers and then applying GRA-TOPSIS method to make it more realistic and more efficient. Mousakhani et al [16] initiate an innovative method for green supplier evaluation under group decision-making approach using interval-type-2 fuzzy sets (IT2FSs) and TOPSIS method for the green supplier selection barriers in a case study of the battery industry. Wang et al [17] adopt the MCDM model with fuzzy AHP and green data envelopment analysis (GDEA) to recognize the weight of criteria for supplier selection in the food processing industry in Vietnam.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Then, Equation 15is used to generalize direction-relation matrix X given in Table 4. To get the total-relation matrix T, we use the direct-relation matrix data in Table 4 for all criteria and all experts and apply it to Equation (16), then using the total influence matrix T to get the total row ( r) and column ( s) sum as defined in Equations (17) and (18) and presented in Table 5. The influence received by dimensions for the total fuzzy influence T matrix (cause and effect relation) of dimensions is shown in Table 6.…”

Section: Linguistic Comparisonmentioning

confidence: 99%

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An Integrated Multi-Criteria Decision-Making Model Based on Prospect Theory for Green Supplier Selection under Uncertain Environment: A Case Study of the Thailand Palm Oil Products Industry

Phochanikorn

Tan

2019

Sustainability

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Environmental concerns have globally driven the encouragement of green supply chain management. Accordingly, business and industrial organizations try to seek green supply chain strategies to respond to market pressure regarding corporate social responsibility. Green supplier selection is one of the practical strategies for modern enterprises. With the large-scale development of the palm oil products industry, green supplier selection technique is the key for decision making when dealing with mass information and possible risks of biased data. For instance, the preference of decision makers possibly causes a misleading decision, thus leading to unnecessary waste of resources. Therefore, the contribution of this paper is to apply the integrated multi-criteria decision method using the ‘fuzzy decision-making trial and evaluation laboratory’ (fuzzy DEMATEL) method to consider the cause and effect relationship and then using fuzzy analytic network process (fuzzy ANP) to assign the weight of each relevant criteria. The initial results are useful for strategic procurement planning. In the final step, we adopt the prospect theory to synthesize procurement’s psychological and behavioral factors when selecting green suppliers. The final result refers to the comprehensive prospect value to rank the eligible suppliers into orders. Moreover, the results of both sensitivity analysis and comparison method confirm that the proposed model is adequately realistic and robust.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Linguistic Comparisonmentioning

confidence: 99%

An Integrated Multi-Criteria Decision-Making Model Based on Prospect Theory for Green Supplier Selection under Uncertain Environment: A Case Study of the Thailand Palm Oil Products Industry

Phochanikorn

Tan

2019

Sustainability

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“…In this case study, the criteria for green supplier selection are defined based on the works of Gurel et al (2015) and Mousakhani et al (2017). The seven criteria include cost of products (C 1 ), quality of products (C 2 ), service provided (C 3 ), capable of delivering on time (C 4 ), technology level (C 5 ), environmental management systems (C 6 ) and green packaging (C 7 ).…”

Section: Criteria and Alternativesmentioning

confidence: 99%

Application of PROMETHEE method for green supplier selection: a comparative result based on preference functions

2018

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The PROMETHEE is a significant method for evaluating alternatives with respect to criteria in multi-criteria decisionmaking problems. It is characterized by many types of preference functions that are used for assigning the differences between alternatives in judgements. This paper proposes a preference of green suppliers using the PROMETHEE under the usual criterion preference functions. Comparable results are presented to check the effect of different preference functions on the final preference. Seven economical and environmental criteria, four suppliers and five decision makers were the main structures in the green supplier selection problem. Data were collected via personal communication with decision makers using five-point Likert scale. The algorithm of PROMETHEE under usual criterion function was implemented, and the results show that supplier A 1 is the most preferred alternative. Comparative results also show that supplier A 1 is the most preferred alternative despite the difference in preference functions used.

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“…Moreover, by reviewing the existing literature, the criteria of GSS can usually be classified into two categories: General and green criteria [64,65]. Generally, organizations consider criteria such as cost, quality, and delivery performance when evaluating supplier performance.…”

Section: Introductionmentioning

confidence: 99%

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

2018

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The green supplier selection (GSS) problem is one of the most pressing issues that can directly affect manufacturer performance. GSS has been studied in previous literature, which is considered to be a typical multiple criteria group decision making (MCGDM) problemThe ordered weighted hesitant fuzzy MCGDM method can present the importance of each possible value, and the priority relationship among criteria has rarely been studied. In this study, we first extend the prioritized average (PA) operator to the ordered weighted hesitant fuzzy set (OWHFS) for solving the both problems. The generalized ordered weighted hesitant fuzzy prioritized weighted average operator (GOWHFPWA) is recommended, and some desirable properties are discussed. Based on this operator, a novel MCGDM method for GSS is developed. A numerical example of GSS is then given to prove the robustness of the proposed approach, and a sensitivity analysis is used to identify the robustness of the proposed method. Finally, a comparative analysis based on the MCGDM approach with the hesitant fuzzy prioritized weighted average (HFPWA) operator is illustrated to indicate the validity and advantages of the proposed approach.

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A novel interval type-2 fuzzy evaluation model based group decision analysis for green supplier selection problems: A case study of battery industry

Cited by 93 publications

References 54 publications

An Integrated Multi-Criteria Decision-Making Model Based on Prospect Theory for Green Supplier Selection under Uncertain Environment: A Case Study of the Thailand Palm Oil Products Industry

An Integrated Multi-Criteria Decision-Making Model Based on Prospect Theory for Green Supplier Selection under Uncertain Environment: A Case Study of the Thailand Palm Oil Products Industry

Application of PROMETHEE method for green supplier selection: a comparative result based on preference functions

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

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