Fulfillment of retailer demand by using the MDL-optimal neural network prediction and decision policy.
Andrew NingHenry C. W. LauYi ZhaoEric T. T. WongPublished in: IEEE Trans. Ind. Informatics (2009)
Keyphrases
- stochastic demand
- inventory policy
- neural network
- order quantity
- dynamic pricing
- single product
- ordering policy
- prediction model
- inventory replenishment
- infinite horizon
- supply chain
- finite horizon
- base stock policy
- optimal production
- state dependent
- inventory control
- lead time
- replenishment policy
- inventory models
- optimal policy
- lost sales
- decision making
- uncertain demand
- echelon stock
- holding cost
- dynamic programming
- decision makers
- asymptotically optimal
- single item
- expected profit
- demand function
- service level
- revenue management
- model selection
- optimal capacity
- optimal pricing
- chaotic time series
- profit maximizing
- decision problems
- decision process
- expected cost
- customer demand
- inventory systems
- decision variables
- planning horizon
- single period
- mdl principle
- production cost
- minimum description length
- artificial neural networks
- optimal solution
- control policy