Green supplier selection in straw biomass industry based on cloud model and possibility degree

Lü, Zhiming; Sun, Xiaokun; Wang, Yaxian; Xu, Chuanbo

doi:10.1016/j.jclepro.2018.10.130

Cited by 84 publications

(35 citation statements)

References 30 publications

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“…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. In addition, detailed literature reviews on the current sustainable supplier selection methods can be seen in [44][45][46].…”

Section: Literature Reviewmentioning

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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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%

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

et al. 2019

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“…For theoretical research, Lu et al [25] introduce a green supplier selection case in straw biomass industry by integrating cloud model with MCDM with an aim to avoid the risks of the fuzziness as well as randomness of extensive evaluation information. Song et al [26] utilize prospect theory to analyze the manufacturer's psychological and behavioral factors during an environmentally friendly supplier.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Then, the PIS and NIS (Step 4.1) of the alternatives in each criteria are assigned by using Equations (25) and (26) as follows:…”

Section: Corresponding Tfnsmentioning

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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“…A hybrid MCDM model was developed in [20] to support the green supplier selection process based on interval-valued intuitionistic uncertain linguistic sets, BWM, and AQM. In [40], fuzzy AHP, cloud model, and possibility degree were integrated to select the optimal green supplier for a straw biomass power plant. Wu et al [7] provided an integrated method based on BWM and VIKOR techniques to select a long-term green supplier partner for an electronic enterprise under an interval type-2 fuzzy environment.…”

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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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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Green supplier selection in straw biomass industry based on cloud model and possibility degree

Cited by 84 publications

References 30 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

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

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

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