Ensemble learning for demand forecast of After-Market spare parts to empower data-driven value chain and an empirical study.
Chen Fu ChienChien-Chun KuYi-Yun LuPublished in: Comput. Ind. Eng. (2023)
Keyphrases
- ensemble learning
- data driven
- spare parts
- inventory management
- generalization ability
- ensemble methods
- optimization model
- service level
- base classifiers
- random forest
- cold standby
- concept drift
- unlabeled data
- high availability
- supply chain
- multi class
- decision making
- prediction accuracy
- total cost
- learning algorithm
- neural network