An improved failure mode and effect analysis method for multi-criteria group decision-making in green logistics risk assessment

•This study develops the K-means clustering method to partition the FMEA experts according to their evaluation.•A weight calculation method of FMEA model according to grey correlation coefficient and risk attitude is proposed.•The combination of RT-PROMETHEE II final ranking method is constructed.•A...

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Veröffentlicht in:	Reliability engineering & system safety Jg. 215; S. 107826
Hauptverfasser:	Liu, Peide, Li, Ying
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Barking Elsevier Ltd 01.11.2021 Elsevier BV
Schlagworte:	Adaptability Attitudes Cluster analysis Clustering cold chain green logistics risk assessment Decision analysis Decision making Decision theory Failure analysis failure mode and effect analysis Failure modes K-means clustering method Logistics multi-criteria group decision-making Multiple criterion Reliability analysis Reliability engineering Risk assessment RT-PROMETHEE II Vector quantization multi-criteria group decision-making cold chain green logistics risk assessment RT-PROMETHEE II failure mode and effect analysis K-means clustering method
ISSN:	0951-8320, 1879-0836
Online-Zugang:	Volltext
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