Name
Abstract | ||
|---|---|---|
According to the historical data of 脳脳 Factory, we use ARIMA time series to model how to predict the demand for spare parts of 脳脳 Factory. The forecast model test results show that the model can better predict, with high accuracy. On this basis, this article predicts the demand for spare parts of next year. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/CSIE.2009.315 | CSIE |
Keywords | Field | DocType |
ARIMA,Demand forecast,Time series | Data modeling,Time series,Model test,Spare part,Factory,Demand forecasting,Computer science,Operations research,Autoregressive integrated moving average,Maintenance engineering | Conference |
Volume | Issue | Citations |
4 | null | 0 |
PageRank | References | Authors |
0.34 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiafu Ren | 1 | 1 | 1.03 |
| Zongfang Zhou | 2 | 17 | 9.48 |
| Zhang Fang | 3 | 0 | 0.34 |