A Novel Integrated Approach for Green Supplier Selection with Interval-Valued Intuitionistic Uncertain Linguistic Information: A Case Study in the Agri-Food Industry

Shi, Hua; Quan, Mei-Yun; Liu, Hu‐Chen; Duan, Chunyan

doi:10.3390/su10030733

Cited by 59 publications

(44 citation statements)

References 53 publications

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“…Environmental audits to ensure compliance (D1) [41,43,44] Stringent enforcement of green practices (D2) [41,45,46] Implementation of environmental management system (D3) [10,29,33,47] Incentives for green production (D4) [32,33,43] Technical assistant for technological upgradation (D5) [12,32,43]…”

Section: Green Innovation Capacity (A)mentioning

confidence: 99%

An Integrated Multi-Criteria Decision Support Framework for the Selection of Suppliers in Small and Medium Enterprises based on Green Innovation Ability

Zhang

Siyal

et al. 2020

Processes

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Globally, organizations are under enormous pressure to implement green supply chain processes due to growing environmental concerns. Subsequently, organizations and firms have become more conscious of their suppliers' green innovation ability. However, the selection of the most optimum supplier concerning green innovation ability remains a challenging task that needs to be analyzed. Thus, this study develops an integrated fuzzy and grey-based methodology to analyze and prioritize suppliers for small and medium enterprises (SMEs) in the context of Saudi Arabia. Initially, the study identifies 4 criteria and 20 sub-criteria through extensive literature review with respect to suppliers' green innovation ability. Later, the Fuzzy Analytical Hierarchy Process (AHP) computes weights of criteria and sub-criteria. Finally, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)-Grey was employed to rank the suppliers. The process of assigning weights to criteria and sub-criteria involved twelve experts from academics and industry. The results of Fuzzy AHP indicated that the "Green Innovation Initiatives" is the most significant criterion for the supplier selection. The results of TOPSIS-Grey revealed that the "Supplier-3" is the most optimum supplier having the highest potential of adopting green practices among other suppliers. The overall results provide adequate feedback for organizations and firms to maximize their ability to curb environmental impacts from their upstream activities.

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Section: Green Innovation Capacity (A)mentioning

confidence: 99%

An Integrated Multi-Criteria Decision Support Framework for the Selection of Suppliers in Small and Medium Enterprises based on Green Innovation Ability

Zhang

Siyal

et al. 2020

Processes

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“…Santos et al [14] propose an environmentally friendly supplier selection model for Brazilian furniture industry using fuzzy integrated with Shannob's Entropy and the TOPSIS method to deal with uncertainty in the decision-making process. 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.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Next, we can get the generalized direct-relation fuzzy matrix X by normalizing the aggregated direct-relation matrix via Equations (14) and (15) as shown below…”

Section: The Computational Step Of the Fuzzy Mcdm Model Based On Prosmentioning

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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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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“…The supplier selection in the system analysis method includes weighted point method, taxonomy [27,28], vendor profile analysis [29], supplier performance matrix approach [30], matrix approach [31], and analytic hierarchy process (AHP) [32,33]. The supplier selection problem is characterized by complex, multi-criteria, and unstructured nature, and is considered to be a multi-criteria decision-making problem [34][35][36][37].Most of methodologies proposed for addressing supplier selection issues do not seem to solve the unstructured and complex context of current purchasing decision conditions [38]. In the decision-making process, several influencing factors are often ignored and not considered, such as qualitative criteria, ambiguous information, other qualitative criteria and inaccurate preference representations [39,40].…”

mentioning

confidence: 99%

mentioning

confidence: 99%

A New Multi-Criteria Assessment Model Combining GRA Techniques with Intuitionistic Fuzzy Entropy-Based TOPSIS Method for Sustainable Building Materials Supplier Selection

Chen

2019

Sustainability

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A new multi-criteria assessment model is proposed in this paper, which combines grey relational analysis (GRA) techniques with intuitionistic fuzzy entropy-based Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method, to solve multi-criteria decision making (MCDM) problems and to sort the alternatives. Generally speaking, the supplier selection process, by which buyers choose to find the right supplier of the high-quality products or/and services within the scheduled and quantity, is one of the most important key activities in constructing an effective and timely supply chain. On account of several conflicting attributes on which the knowledge of decision makers is often inaccurate and vague, this is a difficult problem. The contribution of this paper is not only to substitute objective weights of intuitionistic fuzzy entropy for subjective weights directly made by decision-makers in the TOPSIS method, but also to extend and modify this method with intuitionistic fuzzy sets and GRA techniques, and to propose the intuitionistic fuzzy entropy-based TOPSIS method combined with GRA techniques for selecting appropriate sustainable building materials supplier. Finally, we take the choice of sustainable building materials supplier as an example to illustrate the alternative effectively chosen by the intuitionistic fuzzy entropy-based TOPSIS method combined with GRA techniques.

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A Novel Integrated Approach for Green Supplier Selection with Interval-Valued Intuitionistic Uncertain Linguistic Information: A Case Study in the Agri-Food Industry

Cited by 59 publications

References 53 publications

An Integrated Multi-Criteria Decision Support Framework for the Selection of Suppliers in Small and Medium Enterprises based on Green Innovation Ability

An Integrated Multi-Criteria Decision Support Framework for the Selection of Suppliers in Small and Medium Enterprises based on Green Innovation Ability

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

A New Multi-Criteria Assessment Model Combining GRA Techniques with Intuitionistic Fuzzy Entropy-Based TOPSIS Method for Sustainable Building Materials Supplier Selection

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