| # | Developer | Price Type | Price(Tickets) | Description | Accuracy | Developer Rate | Usage Count |
|---|---|---|---|---|---|---|---|
| 1 | [email protected] | PerRun | 1 | In this study, by using the amount of spare part data used in the past monthly, the arima forecasting model forecasts the using amount for the related spare part for the next year. This model can be applied for all kind of consumable material. | %95 | 99 | 19 |
