Demand Forecasting of Spare Parts Using Artificial Intelligence: A Case Study of K-X Tanks

The proportion of the inventory range associated with spare parts is often considered in the industrial context. Therefore, even minor improvements in forecasting the demand for spare parts can lead to substantial cost savings. Despite notable research efforts, demand forecasting remains challenging...

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Bibliographic Details
Main Authors: Jae-Dong Kim, Tae-Hyeong Kim, Sung Won Han
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/11/3/501