Name
Title | ||
|---|---|---|
Fulfillment of retailer demand by using the MDL-optimal neural network prediction and decision policy |
Abstract | ||
|---|---|---|
Prediction of demand plays a critical role in replenishment, in supply chain management. Accurate prediction of demand is a fundamental requirement and is also a great challenge to demand prediction models. This has motivated the research team to develop the minimum description length (MDL)-optimal neural network (NN) which can accurately predict retailer demands with various time lags. Moreover, ... |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/TII.2009.2031433 | IEEE Transactions on Industrial Informatics |
Keywords | Field | DocType |
Neural networks,Costs,Supply chain management,Supply chains,Food products,Predictive models,Accuracy,Business,Acceleration | Decision rule,Mathematical optimization,Predictability,Computer science,Minimum description length,Stochastic process,Control engineering,Supply chain management,Supply chain,Artificial neural network,Surrogate data | Journal |
Volume | Issue | ISSN |
5 | 4 | 1551-3203 |
Citations | PageRank | References |
9 | 0.65 | 19 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrew Ning | 1 | 14 | 2.18 |
| Henry C. W. Lau | 2 | 301 | 33.27 |
| Yi Zhao | 3 | 121 | 31.91 |
| Eric Wong | 4 | 132 | 7.15 |