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Supply Chain › Demand Planning

Forecast Models

How a statistical forecast is calculated. Held as data so a planner can add one without a deployment, and so a run can record which it used.

Where to find it

  1. Module: Supply Chain
  2. Group: Planning
  3. Section: Demand Planning
  4. Screen: Forecast Models

Address in the console: /scm/forecast-models

List · 9 columns · 15 fields on its form · 3 of them required

What the list shows

These are the columns of the list, in the order they are drawn. Any of them can be sorted on, filtered on, hidden, or exported.

ColumnKindField name
CodeCodecode
NameTextname
MethodStatusmethod
WindowNumberperiods
AlphaNumberalpha
SeasonNumberseason_length
SuitsStatussuits_pattern
DefaultYes or nois_default
ActiveYes or nois_active

The form

What is asked for when a record is created here. Required fields are marked; a choice drawn from a configuration list is one an administrator can extend without a release.

FieldTypeChoicesNotes
Code required Text
Name required Text
Method required Choice Configuration list
Window (periods) Number
Alpha (level) Number Higher is more responsive and more nervous. 0.3 is the usual starting point.
Beta (trend) Number
Gamma (season) Number
Season length Number
Damp the trend Yes or no
Suits demand that is Choice Configuration list A method chosen for the wrong shape of demand is the commonest reason a forecast is useless. Croston exists for intermittent demand; exponential smoothing is hopeless at it.
Outliers Choice none, clip, winsorize, exclude, flag
Outlier threshold (sigma) Number
Description Long text
Default Yes or no
Active Yes or no

The rules that apply here

Everything on this screen obeys the platform rules rather than rules of its own. The ones worth knowing before you use it:

Beside it in Demand Planning