PREDICTION OF HIGH CYCLE TIMES IN WHEEL RIM MOLDING WITH ARTIFICIAL NEURAL NETWORKS

PREDICTION OF HIGH CYCLE TIMES IN WHEEL RIM MOLDING WITH ARTIFICIAL NEURAL NETWORKS

Purpose: Monitoring processes through real-time data collection is useful for businesses to understand their processes better, and deal with production problems. Predicting cycle-time allows identifying production delays, downtime, and productivity loss. Thereby, taking necessary actions is facilita...

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Bibliographic Details
Main Authors: İnanç Kabasakal, Fatma Demircan Keskin
Format: Article
Language:English
Published: Sanayi ve Teknoloji Bakanlığı 2022-01-01
Series:Verimlilik Dergisi
Subjects:
cycle time prediction
process mining
machine learning
artificial neural networks
çevrim süresi tahmini
proses madenciliği
makine öğrenmesi
yapay sinir ağları
Online Access:https://dergipark.org.tr/tr/download/article-file/1947397

Internet

https://dergipark.org.tr/tr/download/article-file/1947397

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