1.Functional Description
1.1Purpose
This function will generate the forecast numbers for Method 5, Linear Approximation, 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 5 - Simulate Linear Approximation
 If NumberOfBuckets is less than (MonthsBestFit + LinearApproxNoMonths)
 Move '1' to DataError
 End Function
 Else
 Subtract MonthsBestFit from LastBucketPostion to get $X
 $TOT = 0
 Do MonthsBestFit times
 Subtract (LinearApproxNoMonths - 1) from $X to get $Y
 If ForecastAmounts is not equal to '1'
 Subtract PntrActualSales,$Y from PntrActualSales,$X to get 
$$SIM
 Divide $$SIM by (LinearApproxNoMonths - 1)
 Add PntrActualSales,$X to $$SIM
 Else
 Subtract PntrActualAmount,$Y from PntrActualAmount,$X to get 
$$SIM
 Divide $$SIM by (LinearApproxNoMonths - 1)
 Add PntrActualAmount,$X to $$SIM
 End
 Add 1 to $X
 If MeanAbsoluteDeviation is not equal to '1'
 Add $$SIM to $TOT
 Else
 If ForecastAmounts is not equal to '1'
 Subtract PntrActualSales,$X from $$SIM to get $DIFF
 Else
 Subtract PntrActualAmount,$X from $$SIM to get $DIFF
 End
 Add the absolute value of $DIFF to $TOT
 End
 End
 If MeanAbsoluteDeviation is not equal to '1'
 If ForecastAmounts is not equal to '1'
 Divide $TOT by QtyBestFit to get MethodYield
 Else
 Divide $TOT by AmtBestFit to get 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 5 to Method
 End
 Else
 Divide $TOT 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 5 to Method
 End
 End
 End
^
D3400850 - Forecast Simulate Method 5
| 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 | EV02 | 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 | MATH02 | MATH_NUMERIC | NONE | NONE | 
- - - Good Performance High Value.  | ||||
| idPtrToActualValues | GENLNG | ID | NONE | NONE | 
General purpose ID variable.  | ||||
| mnMonthsBestFit | MATH01 | MATH_NUMERIC | NONE | NONE | 
- - - Good Performance Low Value.  | ||||
| mnLinearApproxNoMonths | 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 |