Spare Parts Demand Prediction by Using a Random Forest Approach.
Joakim AnderssonEvangelos SiminosPublished in: APMS (3) (2023)
Keyphrases
- random forest
- spare parts
- inventory management
- prediction accuracy
- decision trees
- ensemble methods
- feature set
- ensemble classifier
- high availability
- multi label
- optimization model
- supply chain
- evolutionary algorithm
- data sets
- service level
- vehicle routing
- machine learning
- machine learning algorithms
- multi class
- lead time
- training data
- image processing
- robust optimization
- feature selection