Example 2 for the Preparation Service for the
LI-Based Forecast
● You have assigned the following BOD to product Y:

The entry location Chicago has the following child locations:
○ Stockholding location New York
○ Stockholding location Rome
○ Stockholding virtual child location (vCL) Chicago
● In the entry location Chicago you have assigned a leading indicator group, which contains the leading indicators Installed Base and Number of Uses.
● You have assigned the Number of Uses leading indicator to product Y.
● Product Y is not part of a supersession.
● In the service profile for the distribution service for the leading-indicator-based forecast you have set the Read BOM of LI flag.
● In period 06.2005, the entry location Chicago had an aggregated demand of 11 items of product Y.
● In period 06.2005 you have the following equipment on the market:
○ Equipment A
The demand for equipment A occurred in the New York location. This equipment has been assigned an equipment BOM with the following items:
■ 4 of product X
■ 4 of product Y
■ 1 of product Z
○ Equipment C
The demand for equipment C occurred in the Rome location. This equipment has been assigned an equipment BOM with the following items:
■ 10 of product X
■ 8 of product Y
● You have not defined any selection criteria for your equipment.
For product Y, the preparation service proceeds to determine the demand history of the assigned leading indicator Number of Uses as follows:
...
1. The preparation service determines the first stockholding locations for product Y as follows:
○ Product Y occurs in equipment A and equipment C.
○ The demand for equipment A occurred in the New York location. This location is stockholding. Hence, a location product of product Y is location product NewYork_Y.
○ The demand for equipment C occurred in the Rome location. This location is stockholding. Hence, a location product of product Y is location product Rome_Y.
2. The preparation service reads the key figure Number of Uses for the location products from the InfoCube SPP: Installed Base Key Figures (9AIBASKF) that were determined in step 1.
For period 06.2005 the Number of Uses for location product NewYork_Y is 10, for example, and 12 for location product Rome_Y.
3. The preparation service aggregates the values of the demand history for the leading indicator Number of Uses along the BOD for product Y as follows. It thus gets the demand history for the leading indicator Number of Uses at entry location level:
LI value NewYork_Y + LI value Rome_Y = 10 + 12 = 22
4. The preparation service determines the historical value of the coefficient for period 06.2005 as follows:
Final demand for spare part Y in per. 06.2005 / value of dem. hist. of LI in per. 06.2005 = 11 / 22 = 0.5