Green Supplier Selection Under Cloud Manufacturing Environment: A Hybrid MCDM Model

In the cloud manufacturing environment, the interaction and cooperation between enterprises become more convenient. The most optimal green supplier selection through cloud manufacturing platform can improve the production quality and sustainable development efficiency of enterprises. However, as alt...

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Autores principales:	Dan-Ping Li, Li Xie, Peng-Fei Cheng, Xiang-Hong Zhou, Cheng-Xun Fu
Formato:	article
Lenguaje:	EN
Publicado:	SAGE Publishing 2021
Materias:	History of scholarship and learning. The humanities AZ20-999 Social Sciences H
Acceso en línea:	https://doaj.org/article/65b29f2d672c4f63a6301c235f8df827
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spelling	oai:doaj.org-article:65b29f2d672c4f63a6301c235f8df8272021-12-02T02:04:31ZGreen Supplier Selection Under Cloud Manufacturing Environment: A Hybrid MCDM Model2158-244010.1177/21582440211057112https://doaj.org/article/65b29f2d672c4f63a6301c235f8df8272021-11-01T00:00:00Zhttps://doi.org/10.1177/21582440211057112https://doaj.org/toc/2158-2440In the cloud manufacturing environment, the interaction and cooperation between enterprises become more convenient. The most optimal green supplier selection through cloud manufacturing platform can improve the production quality and sustainable development efficiency of enterprises. However, as alternative suppliers are all over the world, there is a risk that the selected supplier is not ideal. Therefore, in this paper, a hybrid supplier selection model based on TODIM method is proposed to choose the optimal green supplier under cloud manufacturing platform. Considering the characteristics of suppliers in the cloud manufacturing environment and green criteria, the comprehensive green supplier evaluation index system is constructed. The creative application of heterogeneous evaluation information including crisp numbers, interval numbers, and probabilistic linguistic values, can express the evaluation information of different subjects comprehensively. In order to consider human judgment and the importance of information provided by raw data, the criteria weights are determined by integrating fuzzy BWM (Best-worst method) weights and objective entropy weights. Then, with the full consideration of decision maker’s risk attitude, the TODIM method is used to process heterogeneous evaluation information and calculate the priority of the green suppliers. The proposed method is novel, and allows multi-subjects to participate in the assessment process and considers the risk attitude of decision-makers in the green supplier selection process. An empirical study of green supplier selection in the cloud manufacturing environment is conducted. Sensitivity analysis and comparative analysis indicate that the proposed selection model for green supplier is reliable and effective.Dan-Ping LiLi XiePeng-Fei ChengXiang-Hong ZhouCheng-Xun FuSAGE PublishingarticleHistory of scholarship and learning. The humanitiesAZ20-999Social SciencesHENSAGE Open, Vol 11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	History of scholarship and learning. The humanities AZ20-999 Social Sciences H
spellingShingle	History of scholarship and learning. The humanities AZ20-999 Social Sciences H Dan-Ping Li Li Xie Peng-Fei Cheng Xiang-Hong Zhou Cheng-Xun Fu Green Supplier Selection Under Cloud Manufacturing Environment: A Hybrid MCDM Model
description	In the cloud manufacturing environment, the interaction and cooperation between enterprises become more convenient. The most optimal green supplier selection through cloud manufacturing platform can improve the production quality and sustainable development efficiency of enterprises. However, as alternative suppliers are all over the world, there is a risk that the selected supplier is not ideal. Therefore, in this paper, a hybrid supplier selection model based on TODIM method is proposed to choose the optimal green supplier under cloud manufacturing platform. Considering the characteristics of suppliers in the cloud manufacturing environment and green criteria, the comprehensive green supplier evaluation index system is constructed. The creative application of heterogeneous evaluation information including crisp numbers, interval numbers, and probabilistic linguistic values, can express the evaluation information of different subjects comprehensively. In order to consider human judgment and the importance of information provided by raw data, the criteria weights are determined by integrating fuzzy BWM (Best-worst method) weights and objective entropy weights. Then, with the full consideration of decision maker’s risk attitude, the TODIM method is used to process heterogeneous evaluation information and calculate the priority of the green suppliers. The proposed method is novel, and allows multi-subjects to participate in the assessment process and considers the risk attitude of decision-makers in the green supplier selection process. An empirical study of green supplier selection in the cloud manufacturing environment is conducted. Sensitivity analysis and comparative analysis indicate that the proposed selection model for green supplier is reliable and effective.
format	article
author	Dan-Ping Li Li Xie Peng-Fei Cheng Xiang-Hong Zhou Cheng-Xun Fu
author_facet	Dan-Ping Li Li Xie Peng-Fei Cheng Xiang-Hong Zhou Cheng-Xun Fu
author_sort	Dan-Ping Li
title	Green Supplier Selection Under Cloud Manufacturing Environment: A Hybrid MCDM Model
title_short	Green Supplier Selection Under Cloud Manufacturing Environment: A Hybrid MCDM Model
title_full	Green Supplier Selection Under Cloud Manufacturing Environment: A Hybrid MCDM Model
title_fullStr	Green Supplier Selection Under Cloud Manufacturing Environment: A Hybrid MCDM Model
title_full_unstemmed	Green Supplier Selection Under Cloud Manufacturing Environment: A Hybrid MCDM Model
title_sort	green supplier selection under cloud manufacturing environment: a hybrid mcdm model
publisher	SAGE Publishing
publishDate	2021
url	https://doaj.org/article/65b29f2d672c4f63a6301c235f8df827
work_keys_str_mv	AT danpingli greensupplierselectionundercloudmanufacturingenvironmentahybridmcdmmodel AT lixie greensupplierselectionundercloudmanufacturingenvironmentahybridmcdmmodel AT pengfeicheng greensupplierselectionundercloudmanufacturingenvironmentahybridmcdmmodel AT xianghongzhou greensupplierselectionundercloudmanufacturingenvironmentahybridmcdmmodel AT chengxunfu greensupplierselectionundercloudmanufacturingenvironmentahybridmcdmmodel
_version_	1718402711951507456

Green Supplier Selection Under Cloud Manufacturing Environment: A Hybrid MCDM Model

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