/SAPAPO/PR - Nachtrichten f�r FG /SAPAPO/FORECAST
The following messages are stored in message class /SAPAPO/PR: Nachtrichten f�r FG /SAPAPO/FORECAST.
It is part of development package /SAPAPO/SCMB_FORECAST in software component SCM-BAS. This development package consists of objects that can be grouped under "Forecast".
It is part of development package /SAPAPO/SCMB_FORECAST in software component SCM-BAS. This development package consists of objects that can be grouped under "Forecast".
Message Nr ▲ | Message Text |
|---|---|
| 400 | Season test not possible |
| 401 | Constant model set |
| 402 | Forecast values will be negative |
| 403 | Time series characteristic changed |
| 404 | Basic value cannot be re-calculated (Season index = 0) |
| 405 | Insufficient historical values available for initialization |
| 406 | No historical values copied |
| 407 | Insufficient historical values available for creation of average value |
| 409 | Not possible to determine season indices (Basic value = 0) |
| 410 | Insufficient historical values available for model choice |
| 411 | No ex-post forecast possible |
| 413 | Season index cannot be re-calculated |
| 414 | Historical time series shows irregular pattern |
| 415 | Fewer historical values than entered |
| 416 | Number of ex-post forecasts reduced |
| 417 | Too few historical values for parameter optimization |
| 418 | Model selection procedure 1 called |
| 419 | Model selection procedure 2 called |
| 420 | Season test is positive |
| 421 | Initialization started |
| 422 | Trend test is positive |
| 423 | Manual initialization carried out |
| 424 | Ex-post forecast carried out |
| 425 | Parameter optimization accessed |
| 426 | Seasonal test called |
| 427 | Trend test called |
| 428 | Ex-post forecast carried out |
| 429 | Overflow when calculating a seasonal index; 0 or 99.99 is set |
| 430 | MAD is too high |
| 431 | Error total is too high |
| 432 | MPE is too high |
| 433 | MAPE is too high |
| 434 | MSE is too high |
| 435 | RMSE is too high |
| 436 | Forecast weighting factors are not maintained |
| 437 | Incorrect period specifications |
| 438 | Automatic model selection has chosen the constant model |
| 439 | Automatic model selection has chosen the trend model |
| 440 | Automatic model selection has chosen the seasonal model |
| 441 | Automatic model selection has chosen the seasonal trend model |
| 442 | The data of the variables is based on different units |
| 443 | Customer-specific error too big |
| 444 | Number of periods: &1, Autocorrelation: &2, Limit: &3 |
| 445 | Trend: &1, Coefficient of determination: &2, Limit: &3 |
| 446 | Outlier correction performed; &1 outlier(s) corrected |
| 447 | Outlier correction performed; no outliers exist |
| 448 | Outlier correction terminated with errors |
| 449 | White noise detected |
| 450 | Automatic model selection has chosen the Croston model |
| 451 | History consists of &1% zero values, limit: &2% |
| 452 | Automatic linear model selection has chosen linear regression |
| 453 | Leading zeros in history will be ignored |
| 454 | Automatic Alpha adjustment called |
| 455 | Automatic model selection has selected the external forecast |
| 456 | There are not enough historical values for the seasonal trend model |
| 457 | There are not enough historical values for the seasonal model |
| 458 | There are not enough historical values for the trend model |
| 459 | Automatic model selection has selected linear regression + season |
| 460 | Not enough values for auto. model selection; currently: &1, required: &2 |
| 461 | Not enough values for median method, there are &1; &2 are required |
| 462 | Median method terminated |
| 463 | Median method executed successfully |
| 465 | Ex-post values are negative |
| 466 | Seasonal index is negative |
| 467 | Trend dampening terminated; negative forecast values |
| 468 | BAdI /SAPAPO/SCM_FCSTPARA seasonal test method: Seasonal test negative |
| 469 | BAdI /SAPAPO/SCM_FCSTPARA trend test method: Trend test negative |
| 470 | Seasonal test is negative |
| 471 | Trend test is negative |
| 472 | Saisonal index negative; outlier correction terminated |
| 473 | Trend test not possible |
| 474 | Negative values in outlier correction set to zero |
| 475 | Product/location &1/&2; 6 periods selected for order item forecast |
| 476 | Product/location &1/&2: 13 periods selected for order item forecast |
| 477 | Product/location &1/&2; 26 periods selected for order item forecast |
| 478 | Product/location &1/&2: 52 periods selected for order item forecast |
| 479 | Product/location &1/&2: 6 periods selected for requirement/item forecast |
| 480 | Product/location &1/&2: 13 periods selected for requirement/item forecast |
| 481 | Product/location &1/&2: 26 periods selected for requirement/item forecast |
| 482 | Product/location &1/&2: 52 periods selected for requirement/item forecast |
| 490 | No historical values exist |
| 491 | Insufficient historical values to execute the forecast |
| 492 | Forecasting was cancelled with an error |
| 500 | Data saved |
| 501 | Structure change found in data &1 |
| 502 | Insufficient history for reinitialization |
| 503 | No reinitialization was performed |
| 504 | The 'Adopt Historical Data' method is being used |
| 505 | A constant model is being used |
| 506 | Seasonal indices of the last season cycle are being used |
| 507 | Reinitialization was successful |
| 508 | Test for white noise performed |
| 509 | 'Adopt Historical Data' method failed |
| 510 | Maximum for trend value exceeded; trend reset to maximum |
| 511 | Maximum for forecast exceeded; forecast reset to maximum |
| 512 | Trend dampening with Phi parameter, Phi: &1 |
| 513 | Q statistic: &1, degrees of freedom: &2, threshold &3 |
| 514 | No white noise detected |