Machine Learning versus Statistical Methods in Demand Planning for Energy-Efficient Supply Chains.
Lucas SchreiberNikolas Ulrich MoroffPublished in: ICoMS (2020)
Keyphrases
- statistical methods
- energy efficient
- supply chain
- capacity planning
- machine learning
- bullwhip effect
- inventory management
- supply chain management
- lead time
- wireless sensor networks
- energy consumption
- machine learning methods
- inventory control
- statistical analysis
- customer demand
- capacity expansion
- uncertain demand
- sensor networks
- planning horizon
- energy efficiency
- decision making
- inventory policy
- base station
- routing protocol
- multi period
- service level
- demand uncertainty
- statistical models
- dynamic pricing
- data mining techniques
- reinforcement learning
- data transmission
- routing algorithm
- inventory systems
- machine learning algorithms
- learning algorithm
- pricing mechanism
- databases
- decision trees
- trading partners
- knowledge discovery
- context aware