Handling Supersession During historical data capture, the system considers supersession according to the various replacement strategies in Service Parts Planning (SPP).
If the system extracts an order item for product A from SAP Customer Relationship Management (SAP CRM) or SAP ERP, it captures the demand for product A in the demand history for product A. If, however, product A is replaced by product B, the system does not only capture the demand for product A for product A, but also for product B, the successor product in the supersession chain.
Note
The system only considers supersession when capturing the demand history. The system does not change raw data.
For more information about how the system realigns demand history data for supersession, see Data Realignment for Supersession .
You have modeled replacement strategies and supersession chains and specified them in the master data for product and location interchangeability.
You have performed the planning service “SPP: Data Realignment for Supersession”.
The system creates the demand history of a product from the demands of this product in inbound order items. If supersession is relevant for a product, the system also considers the demand for this product in the demand history of the successor product.
The following provides an overview of how the system considers demands for order items in the demand history of the predecessor and successor products according to the replacement strategy.
You specify the sizes described below in the following fields in the master data under :
SuQuaFact. |
|
PrQuaFact. |
|
DemPercQt. |
|
Q |
|
Successor product B replaces predecessor product A.
The system calculates the demand history of A as follows:
DemHist A = Demand A
The system calculates the demand history for B as follows:
DemHist B = Demand B + Demand A * (SuQuaFact B / PrQuaFact A )
Successor product B partially replaces predecessor product A.
The system calculates the demand history for A as follows:
DemHist A = Demand A – Demand A * (1 – DemPercQt A )
The system calculates the demand history for B as follows:
DemHist B = Demand B + Demand A * DemPercQt B * (SuQuaFact B / PrQuaFact A )
Successor products B and C replace predecessor product A together.
The system calculates the demand history of A as follows:
DemHist A = Demand A
The system calculates the demand histories for B and C as follows:
DemHist B = Demand B + Demand A * Q B / PrQuaFact A
DemHist C = Demand C + Demand A * Q C / PrQuaFact A
Successor products B and C replace predecessor product A alternatively.
The system calculates the demand history of A as follows:
DemHist A = Demand A
The system calculates the demand histories for B and C as follows:
DemHist B = Demand B + Demand A * DemPercQt B * (SuQuaFact B / PrQuaFact A )
DemHist C = Demand C + Demand A * DemPercQt C * (SuQuaFact C / PrQuaFact A )
Successor product C replaces predecessor product A and B together. A is the leading predecessor product.
The system calculates the demand history of A and B as follows:
DemHist A = Demand A
DemHist B = Demand B
The system calculates the demand history of C as follows:
DemHist C = Demand C + (Demand A / Q A ) * SuQuaFact C
Successor product C replaces predecessor products A and B alternatively. You model this replacement strategy with two supersession chains, each with one item.
The system calculates the demand history of A and B as follows:
DemHist A = Demand A
DemHist B = Demand B
The system calculates the demand history of C for both supersession chains as follows:
DemHist C = Demand C + Demand A * (SuQuaFact C / PrQuaFact A )
DemHist C = Demand C + Demand B * (SuQuaFact C / PrQuaFact B )
For more information about supersession in SPP, see Product Interchangeability in SPP .