Anomaly Detection in Automotive Industry Using Clustering Methods—A Case Study

Anomaly Detection in Automotive Industry Using Clustering Methods—A Case Study

In automotive industries, pricing anomalies may occur for components of different products, despite their similar physical characteristics, which raises the total production cost of the company. However, detecting such discrepancies is often neglected since it is necessary to find the problems consi...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Marcio Trindade Guerreiro, Eliana Maria Andriani Guerreiro, Tathiana Mikamura Barchi, Juliana Biluca, Thiago Antonini Alves, Yara de Souza Tadano, Flávio Trojan, Hugo Valadares Siqueira
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
clustering
cost anomaly detection
classification anomaly detection
automotive industry
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Acceso en línea:https://doaj.org/article/30d640b41c84415d99418377441764ad
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Internet

https://doaj.org/article/30d640b41c84415d99418377441764ad

Ejemplares similares