Outlier-Aware Demand Prediction Using Recurrent Neural Network-Based Models and Statistical Approach

Outlier-Aware Demand Prediction Using Recurrent Neural Network-Based Models and Statistical Approach

The paint industry comprises an elaborate supply chain involving various activities such as raw material procurement, manufacturing, and distribution. In addition, the accuracy of demand prediction significantly impacts supply chain management. A recurrent neural network (RNN) is a powerful method t...

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Bibliographic Details
Main Authors: Yuseon Kim, Kyongseok Park
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Demand prediction
outlier
recurrent neural network
clustering
paint industry
Online Access:https://ieeexplore.ieee.org/document/10318113/

Internet

https://ieeexplore.ieee.org/document/10318113/

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