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Define
Deviation Profiles
In this IMG activity, you define deviation
profiles for your batch records. In the deviation profile, you
specify:
- Which data you want the system to determine in
a deviation analysis. This means, you define the contents of the
Deviations document.
- How this data is prepared for output. This
means, you define the layout of the document.
In the overall profile, you will later assign
the deviation profiles to the materials for whose batch records you want to
use them. You can define different deviation profiles for each material and
plant for the following transactions:
- Automatic deviation analysis during
archiving
- Automatic deviation analysis during
approval
- Manually triggered deviation
analysis
If you do not define deviation profiles for
your materials, you can start the deviation analysis only manually. The system
then uses the maximum contents defined in the standard system, the standard
form, and the standard print and analysis program.
Requirements
Activities
1. To create a
new deviation profile, choose New
Entries.
2. Enter a key
and a description for the deviation profile.
3. Enter the
data for the analysis and output control:
a) If you want
the system to generate the Deviations document with
the SAP standard layout and contents, choose Use standard
settings.
If you want to add
to the contents or modify the layout, enter your own form and print program
along with suitable FORM routines to analyse and prepare the deviations for
output.
a) Specify
whether you want the system to archive the
Deviations document automatically or only after a confirmation
prompt.
1. Specify
which of the PI data defined in the standard system is included in the
document.
2. Choose
QM data scope and specify which QM data is included
in the Deviations document for your inspection
types.
a) Choose
New entries and select an inspection
type.
b) Enter the
control parameters for the deviation analysis of the inspection lot
data.
c) Choose
Next entry and repeat this step for all inspection
types whose inspection lots you want to take into account in the deviation
analysis.