Predicting supply chain risks using machine learning: The trade-off between performance and interpretability.
George BaryannisSamir DaniGrigoris AntoniouPublished in: Future Gener. Comput. Syst. (2019)
Keyphrases
- supply chain
- trade off
- machine learning
- supply chain management
- decision making
- bullwhip effect
- lead time
- operating costs
- inventory management
- dual sourcing
- quantity discount
- service level
- data mining
- capacity planning
- supplier selection
- distribution centers
- planning horizon
- risk management
- uncertain demand
- inventory control
- safety stock
- stackelberg game
- reinforcement learning
- pricing model
- radio frequency identification rfid
- conflicting objectives
- decision makers
- economic order quantity
- revenue sharing
- cost savings