SAP TABLES | Logistics - General | Logistics Basic Data | Material Master(LO-MD-MM) SAP LO

MPOP SAP Forecast Parameters Structure and data







MPOP is an SAP Structure so does not store data like a database table does but can be used to process "Forecast Parameters" Information within sap ABAP programs. This is done by declaring abap internal tables, work areas or database tables based on this Structure. These can then be used to store and process the required data appropriately.

i.e. DATA: wa_MPOP TYPE MPOP .

Below is the documentation avaialable and full details of the fields which make up this Structure.

You can view further information about this via relevant transactions such as SE11 or SE80. Also check out the Comments section below to view or add related contributions and example screen shots.



Display/Maintenance via SM30: Yes but with Restrictions

Enhancement category i: Can be enhanced (character-type or numeric)
See here for more information about this and other SAP enhancement categories


SAP MPOP Structure fields within data Dictionary





Field
Component Type
Data Typelength (Decimals)Check tableDescriptionConversion Routine
MANDTMANDTCLNT3 T000Client
MATNRMATNRCHAR18 MARAMaterial NumberMATN1
WERKSWERKS_DCHAR4 T001WPlant
.INCLUDEEMPOP Data Part MPOP
VERSPVERSPCHAR2 Version number of forecast parameters
.INCLUDEPROPF Forecast parameters
PROPRPROPRCHAR4 MPRPForecast profile
MODAWMODAWCHAR1 Model Selection Indicator
MODAVMODAVCHAR1 Model selection procedure
KZPARKZPARCHAR1 Indicator for parameter optimization
OPGRAOPGRACHAR1 Optimization level
KZINIKZINICHAR1 Initialization indicator
PRMODPRMODCHAR1 Forecast model
ALPHAALPHADEC3(2) Basic value smoothing using alpha factor
BETA1BETA1DEC3(2) Trend value smoothing using the beta factor
GAMMAGAMMADEC3(2) Seasonal index smoothing using gamma factor
DELTADELTADEC3(2) MAD (mean absolute deviation) smoothing using delta factor
EPSILEPSILDEC3(2) Epsilon factor
SIGGRSIGGRDEC5(3) Tracking limit
PRDATPRDATDATS8 Date of last forecast
PERANPERANDEC3 Number of historical periods
PERINPERINDEC3 Number of periods for initialization
PERIOPERIODEC3 Number of periods per seasonal cycle
PEREXPEREXDEC3 Number of periods for ex-post forecasting
ANZPRANZPRDEC3 Number of forecast periods
FIMONFIMONDEC3 Fixed periods
GWERTGWERTQUAN13(3) Basic value
GWER1GWER2QUAN13(3) Basic value of the 2nd order
GWER2GWER2QUAN13(3) Basic value of the 2nd order
VMGWEVMGWEQUAN13(3) Basic value of previous period
VMGW1VMGW2QUAN13(3) Base value of the second order in previous period
VMGW2VMGW2QUAN13(3) Base value of the second order in previous period
TWERTTWERTQUAN13(3) Trend value
VMTWEVMTWEQUAN13(3) Trend value of previous period
PRMADPRMADQUAN13(3) Mean absolute deviation (MAD)
VMMADVMMADQUAN13(3) Mean absolute devaition of previous period
FSUMMFSUMMQUAN13(3) Error total
VMFSUVMFSUQUAN13(3) Error total for the previous period
GEWGRGEWGRCHAR2
*
Weighting group


THKOFTHKOFDEC5(2) Theil coefficient
AUSNAAUSNACHAR30 Exception message bar
PROABPROABCHAR10 Forecast flow control
PERKZPERKZCHAR1 Period Indicator
PNUM1PNUM1NUMC10
*
Pointer: forecast parameters
HSNUMHSNUMCHAR2 Number for history
PNUM2PNUM2NUMC10
*
Pointer for forecast results
PERIVPERIVCHAR2
*
Fiscal Year Variant



Key field
Non-key field