1.Functional Description
1.1Purpose
This function will generate the forecast numbers for Method 11, Exponential Smoothing, if the
processing option is set to do so. It will also decide if this method is the Best Fit forecast.
1.2Setup Notes and Prerequisites
1.3Special Logic
2.Technical Specifications
Method 11 - Simulate Exponential Smoothing
If NumberOfBuckets is less than MonthsBestFit + ExponNumberOfMonths
Move '1' to Data Error
End Function
Else
Subtract MonthsBestFit from LastBucketPosition to get $X
Move 0 to $$SIM
Do MonthsBestFit times
Subtract (ExponNumberOfMonths - 1) from $X
Move 1 to $I
Move 0 to $AVG
Do ExponNumberOfMonths times incrementing $X and $I
If AlphaFactor is not equal to zeroes
If $I is equal to 1
Move 1 to $ALPHA
Else
Move AlphaFactor to $ALPHA
Else
Divide 2 by ($X + 1) to get $ALPHA
End
Subtract $ALPHA from 1 to get $ALPH1
If ForecastAmounts is not equal to '1'
Multiply PntrActualSales,$X by $ALPHA to get $1
Else
Multiply PntrActualAmounts,$X by $ALPHA to get $1
End
Multiply $AVG by $ALPH1 to get $2
Add $1 and $2 to get $AVG
End
If MeanAbsoluteDeviation is not equal to '1'
Add $AVG to $$SIM
Else
If ForecastAmounts is not equal to '1'
Subtract $AVG from PntrActualSales,$X to get $DIFF
Else
Subtract $AVG from PntrActualAmounts,$X to get $DIFF
End
Add $DIFF to $$SIM
End
End
If MeanAbsoluteDeviation is not equal to '1'
If ForecastAmounts is not equal to '1'
Divide $$SIM by QtyBestFit to give Method Yield
Else
Divide $$SIM by AmtBestFit to give MethodYield
End
Decide if this method is the Best Fit Method
If MethodYield is greater than 1
Subtract 1 from MethodYield to get $SPER
Else
Subtract MethodYield from 1 to get $SPER
End
If $SPER is less than BestFit
Move $SPER to BestFit
Move 'B' to Method
End
Else
Divide $$SIM by MonthsBestFit to get MethodYield
Decide if this method is the Best Fit Method
If MethodYield is less than BestFit
Move MethodYield to BestFit
Move 'B' to Method
End
End
End
^
D3400900 - Forecast Simulate Method 11
Parameter Name | Data Item | Data Type | Req/Opt | I/O/Both |
---|---|---|---|---|
mnNumberOfBuckets | MATH01 | MATH_NUMERIC | NONE | NONE |
- - - Good Performance Low Value. | ||||
mnQtyBestFit | MN29D9 | MATH_NUMERIC | NONE | NONE |
This is a generic field used as a work field in Everest. | ||||
mnAmtBestFit | MN29D9 | MATH_NUMERIC | NONE | NONE |
This is a generic field used as a work field in Everest. | ||||
cMethod | EV01 | char | NONE | NONE |
An option that specifies the type of processing for an event. | ||||
cDataError | ERR | char | NONE | NONE |
The Data Field Error Code field is simply a generic data field to pass an error condition flag. This field is one of the fields that make up the
| ||||
cForecastAmounts | EV01 | char | NONE | NONE |
An option that specifies the type of processing for an event. | ||||
mnMethodYield | MN29D9 | MATH_NUMERIC | NONE | NONE |
This is a generic field used as a work field in Everest. | ||||
mnBestFit | MN29D9 | MATH_NUMERIC | NONE | NONE |
This is a generic field used as a work field in Everest. | ||||
mnLastBucketPosition | MATH01 | MATH_NUMERIC | NONE | NONE |
- - - Good Performance Low Value. | ||||
idPtrToActualValues | GENLNG | ID | NONE | NONE |
General purpose ID variable. | ||||
mnExponNumberOfMonths | MATH01 | MATH_NUMERIC | NONE | NONE |
- - - Good Performance Low Value. | ||||
mnAlphaFactor | MATH01 | MATH_NUMERIC | NONE | NONE |
- - - Good Performance Low Value. | ||||
mnMonthsBestFit | MATH01 | MATH_NUMERIC | NONE | NONE |
- - - Good Performance Low Value. | ||||
cMeanAbsoluteDeviation | EV01 | char | NONE | NONE |
An option that specifies the type of processing for an event. |
B3401050 Forecast Accumulate Actuals |
None |