Finding the optimal CSP inventory level for multi-echelon system in Air Force using random effects regression model.
Kyung Bok YoonSo Young SohnPublished in: Eur. J. Oper. Res. (2007)
Keyphrases
- regression model
- multi echelon
- lead time
- inventory level
- air force
- random effects
- assembly systems
- linear model
- inventory control
- supply chain
- expected cost
- gaussian process
- model selection
- united states
- single item
- lost sales
- total cost
- lot size
- data mining
- regression trees
- infinite horizon
- lot sizing
- hidden markov models
- optimal solution
- planning horizon
- setup cost
- holding cost
- long run
- dynamic pricing
- fixed cost
- linear models
- random variables
- optimal policy
- decision trees
- machine learning