Prediction of probable backorder scenarios in the supply chain using Distributed Random Forest and Gradient Boosting Machine learning techniques.
Samiul IslamSaman Hassanzadeh AminPublished in: J. Big Data (2020)
Keyphrases
- supply chain
- random forest
- lead time
- gradient boosting
- random forests
- ensemble methods
- prediction accuracy
- decision trees
- feature set
- base learners
- machine learning
- service level
- ensemble learning
- machine learning methods
- decision making
- inventory holding
- total cost
- fold cross validation
- loss function
- support vector machine
- data sets
- base classifiers
- machine learning algorithms
- markov random field
- multi class
- holding cost