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[Dependency Information]
Object Name: | MTL_FORECAST_RULES |
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Object Type: | TABLE |
Owner: | INV |
FND Design Data: | ![]() |
Subobject Name: | |
Status: | VALID |
MTL_FORECAST_RULES stores rules or options which are used in the
Statistical and Focus forecasting processes. The options can be
classified into Forecast Computation options, Forecast Source options
and Statistical Forecasting Parameters. Computation option governs
which forecast method and bucket type to use. There are two forecast
methods and three bucket types. The forecast methods are statistical
and focus forecastings. Three possible bucket types are days, weeks
and periods.
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Forecast sources consist of the forecast demand elements to be
included or excluded in the forecast process. The demand elements are
sales order shipments, wip issues, miscellaneous issues and inter-
organization transfers. The forecast source options direct forecast
process to include or to exclude the specified sources during
forecasting. For example, if the option only includes sales orders,
then the forecast result will totally depend on the sales order
demand.
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Statistical Forecasting Parameters store parameters that are
pertaining to Statistical forecasting. The parameters include the
maximum past periods to use, alpha smoothing factor, trend and
seasonality factors, and the option to turn on/off the employment of
trend or seasonality models in the forecast calculation.
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Tablespace: | ![]() |
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PCT Free: | 10 |
PCT Used: |
Index | Type | Uniqueness | Tablespace | Column |
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MTL_FORECAST_RULES_U1 | NORMAL | UNIQUE |
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MTL_FORECAST_RULES_U2 | NORMAL | UNIQUE |
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Name | Datatype | Length | Mandatory | Comments |
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FORECAST_RULE_ID | NUMBER | Yes | Identifier of forecast rule | |
FORECAST_RULE_NAME | VARCHAR2 | (80) | Yes | Name of forecast rule |
LAST_UPDATE_DATE | DATE | Yes | Standard Who column | |
LAST_UPDATED_BY | NUMBER | Yes | Standard Who column | |
CREATION_DATE | DATE | Yes | Standard Who column | |
CREATED_BY | NUMBER | Yes | Standard Who column | |
LAST_UPDATE_LOGIN | NUMBER | Standard Who column | ||
DESCRIPTION | VARCHAR2 | (240) | Rule description | |
FORECAST_TYPE | NUMBER | Yes | Indicates the forecast method used in rule | |
PERIOD_TYPE | NUMBER | Yes | Bucket type for forecast | |
INCLUDE_SALES_ORDERS | NUMBER | Yes | Flag to indicate if sales order shipments should be included in forecast history | |
INCLUDE_INTERORG_ISSUES | NUMBER | Yes | Flag to indicate if inter-organization issues should be included in forecast history | |
INCLUDE_MISCELLANEOUS_ISSUES | NUMBER | Yes | Flag to indicate if miscellaneous issues (Account, Account Alias, Miscellaneous, Internal Order and User Defined Issues that are classified as miscellaneous) should be included in forecast | |
INCLUDE_WIP_ISSUES | NUMBER | Yes | Flag to indicate if WIP issues (Issue components to WIP, and Issue Primary Assemblies to WIP) should be included | |
MAXIMUM_PAST_PERIODS | NUMBER | The maximum number of past periods that the statistical forecast uses to generate the forecasts | ||
ALPHA_SMOOTHING_FACTOR | NUMBER | Factor that determines how much weight to put on past periods, 1=only most recent period, 0=more on the distant past | ||
INCLUDE_TREND_MODEL | NUMBER | Flag to indicate if an estimate of the amount of change from period to period should be included in the forecast model | ||
TREND_FACTOR | NUMBER | Smoothing factor for the trend model; 1 = only look at most recent, 0 = most weight on distant past | ||
INCLUDE_SEASONALITY_MODEL | NUMBER | Flag to indicate if an annual seasonal index should be used in the forecast | ||
SEASONALITY_FACTOR | NUMBER | Smoothing factor for the seasonal index, 1 = only look at most recent; O only look at most distant past | ||
ATTRIBUTE_CATEGORY | VARCHAR2 | (30) | Descriptive flexfield structure defining column | |
ATTRIBUTE1 | VARCHAR2 | (150) | Descriptive flexfield segment | |
ATTRIBUTE2 | VARCHAR2 | (150) | Descriptive flexfield segment | |
ATTRIBUTE3 | VARCHAR2 | (150) | Descriptive flexfield segment | |
ATTRIBUTE4 | VARCHAR2 | (150) | Descriptive flexfield segment | |
ATTRIBUTE5 | VARCHAR2 | (150) | Descriptive flexfield segment | |
ATTRIBUTE6 | VARCHAR2 | (150) | Descriptive flexfield segment | |
ATTRIBUTE7 | VARCHAR2 | (150) | Descriptive flexfield segment | |
ATTRIBUTE8 | VARCHAR2 | (150) | Descriptive flexfield segment | |
ATTRIBUTE9 | VARCHAR2 | (150) | Descriptive flexfield segment | |
ATTRIBUTE10 | VARCHAR2 | (150) | Descriptive flexfield segment | |
ATTRIBUTE11 | VARCHAR2 | (150) | Descriptive flexfield segment | |
ATTRIBUTE12 | VARCHAR2 | (150) | Descriptive flexfield segment | |
ATTRIBUTE13 | VARCHAR2 | (150) | Descriptive flexfield segment | |
ATTRIBUTE14 | VARCHAR2 | (150) | Descriptive flexfield segment | |
ATTRIBUTE15 | VARCHAR2 | (150) | Descriptive flexfield segment | |
REQUEST_ID | NUMBER | Standard Who column | ||
PROGRAM_APPLICATION_ID | NUMBER | Standard Who column | ||
PROGRAM_ID | NUMBER | Standard Who column | ||
PROGRAM_UPDATE_DATE | DATE | Standard Who column |
Cut, paste (and edit) the following text to query this object:
SELECT FORECAST_RULE_ID
, FORECAST_RULE_NAME
, LAST_UPDATE_DATE
, LAST_UPDATED_BY
, CREATION_DATE
, CREATED_BY
, LAST_UPDATE_LOGIN
, DESCRIPTION
, FORECAST_TYPE
, PERIOD_TYPE
, INCLUDE_SALES_ORDERS
, INCLUDE_INTERORG_ISSUES
, INCLUDE_MISCELLANEOUS_ISSUES
, INCLUDE_WIP_ISSUES
, MAXIMUM_PAST_PERIODS
, ALPHA_SMOOTHING_FACTOR
, INCLUDE_TREND_MODEL
, TREND_FACTOR
, INCLUDE_SEASONALITY_MODEL
, SEASONALITY_FACTOR
, ATTRIBUTE_CATEGORY
, ATTRIBUTE1
, ATTRIBUTE2
, ATTRIBUTE3
, ATTRIBUTE4
, ATTRIBUTE5
, ATTRIBUTE6
, ATTRIBUTE7
, ATTRIBUTE8
, ATTRIBUTE9
, ATTRIBUTE10
, ATTRIBUTE11
, ATTRIBUTE12
, ATTRIBUTE13
, ATTRIBUTE14
, ATTRIBUTE15
, REQUEST_ID
, PROGRAM_APPLICATION_ID
, PROGRAM_ID
, PROGRAM_UPDATE_DATE
FROM INV.MTL_FORECAST_RULES;
INV.MTL_FORECAST_RULES does not reference any database object
INV.MTL_FORECAST_RULES is referenced by following:
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