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