Example for Seasonal Planning

This example explains how you can aggregate the demand data of a product that is planned for two sales organizations in regions with seasons of different lengths.

We use the following example data:

 Master Data Example Data Product Winter coat Seasons Winter Spring Autumn Summer Season Year FOUR_SEASONS

The winter coats are sold and distributed by the sales organization CENTRAL for the central European countries and by the sales organization NORTH for the northern European countries. The seasons are of different lengths in the respective regions. For example, winter lasts significantly longer in the northern European countries than it does in Central Europe. To define the lengths of each season specifically for each region, we define two seasonal patterns (PATTERN_CENTRAL and PATTERN_NORTH) that are based on the season year FOUR_SEASONS. The definitions of the two seasonal patterns are as follows:

 Season PATTERN_CENTRAL PATTERN_NORTH Winter December to February October to April Spring March to May May to June Summer June to August July to August Autumn September to November September

We assign seasonal pattern PATTERN_CENTRAL to the winter coats of the sales organization CENTRAL and seasonal pattern PATTERN_NORTH to the winter coats of sales organization NORTH.

The following figure shows the monthly sales quantities and the sales quantities per season for each region.

In interactive planning, you can see the sales quantities of winter coats of both sales organizations aggregated to seasons per season year. The seasonal patterns are defined so that they begin with winter. This is season year 2004, because we are only looking at the current season year (start of planning is February 1, 2005, for example) and the season year begins in winter 2004.

In interactive planning, the sales quantities of winter coats of both sales organizations, aggregated to seasons in season year 2004, are as follows:

 2004/Winter 2004/Spring 2004/Summer 2004/Autumn 1,240 0 0 100

If you display the data for the aggregated season year 2004, you see a sales quantity of 1,340 coats.