Once a plant starts using the SAP QM Module, the next step is to leverage on the new capability to determine when each new lot will be available (=released from QC).
This also allows SAP (and especially ATP) to prevent a lot to ship while it is in QI.
It furthermore allows SAP (and especially ATP) to determine if a specific lot can ship at a given date.
In order to achieve this, the Lab reviews their statistics and establishes the expected QC completion duration, which goes into SAP.
Both Picaso and SAP have to be kept in synchronization when accounting for QC Lab time factor.
Step-by-step guide
Now, in order to determine the SAP QC Time, SAP Average Inspection Time, Picaso QC Lag, and Picaso QC Lag Adjustment, first determine what material flow applies:
- Scenario A: Lot is received in inventory at the manufacturing plant, then ships from the plant to final customer. All happening from within the production plant.
- Scenario B: Lot is received in inventory at the manufacturing plant, then is pushed to the warehouse once released from QC. Once it arrives at the warehouse, it can ship to final customers.
- Scenario C: Lot is received in inventory at the manufacturing plant, then is pushed to the warehouse right away, that is, before QC release. It is received at the warehouse in QC status. It will ship to final customers once released from QC.
- Scenario D: Same as C, with lots being received in SAP, and QC starting, while campaign still in progress. Even more complex, therefore only if adds value (to be continued)
Tips: The SAP QC Time, SAP Average Inspection Time, Picaso QC Lag, and Picaso QC Lag Adjustment apply during specific events of the life of a lot:
Applies before the lot is produced
(aka Planning Phase)
Applies after goods receipt in inventory, and while the lot is in Quality Inspection
(aka )
Picaso QC Lag (and Lag Adjustment)
GRPT
Average Inspection Duration Material flows:
Phase Scenario A Production run time: 6 days
Expected QC completion time = 4 days
Before Goods Receipt from Production in the manufacturing plant 
After Goods Receipt from Production in the manufacturing plant 
After Release 
Master Data: Picaso: QC Lag = expected QC duration (4 days)
SAP: nothing.
Phase Scenario B Production run time: 6 days
Expected QC completion time = 4 days
Transfer time between manufacturing plant and warehouse = 1 day
Lot moved to the warehouse after QC release
Before Goods Receipt
(aka Planning phase)
After Goods Receipt from Production in the manufacturing plant
(aka Goods Receipt from Production phase)
After Release
After Goods Receipt from Transfer in the warehouse
(aka Goods Receipt from Transfer)
Master Data: Picaso:
- QC Lag = expected QC duration + transfer to the warehouse, including handling. (ex. : 11 days)
- Schedule Upload Lag Adjustment = - QC Lag + transfer time (ex. : -10 days)
SAP:
- Av.Ins.Duration = expected QC duration (ex. : 4 days)
Phase Scenario C Production run time: 6 days
Expected QC completion time = 4 days
Transfer time between manufacturing plant and warehouse = 1 day
Lot moved to the warehouse during QC release
Before Goods Receipt from Production
(aka Planning phase)
After Goods Receipt from Production in the manufacturing plant
(aka Goods Receipt from Production phase)
After Goods Receipt from Transfer in the warehouse
(aka Goods Receipt from Transfer)
After Release 
Master Data: Picaso:
- QC Lag = expected max of QC duration / transfer to the warehouse, including handling. (ex. : 5 days)
- Schedule Upload Lag Adjustment = - QC Lag (ex. : -5 days)
SAP:
- Goods Receipt Processing Time = QC duration - Transfer time (ex. : 5 days)
- Av.Ins.Duration = GRPT
Recap:
Scenario Master Data Picaso Master Data SAP A QC Lag = expected QC duration N/A B QC Lag = expected QC duration + transfer to the warehouse, including handling
Schedule Upload Lag Adjustment = - QC Lag + transfer time
Av.Ins.Duration = expected QC duration
C QC Lag = max of (expected QC duration // transfer time)
Schedule Upload Lag Adjustment = - QC Lag
GRPT = QC duration - Transfer time
Av.Ins.Duration = GRPT
- Use this template file to help calculate the data en masse.