Hierarchy
SAP_APPL (Software Component) Logistics and Accounting⤷
CA-GTF (Application Component) General Application Functions⤷
BAM (Package) Technical Application Analysis
Basic Data
| Data Element | MSSX_00050 |
| Short Description | Docu for PP Monitor |
Data Type
| Category of Dictionary Type | D | Domain |
| Type of Object Referenced | No Information | |
| Domain / Name of Reference Type | CHAR1 | |
| Data Type | CHAR | Character String |
| Length | 1 | |
| Decimal Places | 0 | |
| Output Length | 1 | |
| Value Table |
Further Characteristics
| Search Help: Name | ||
| Search Help: Parameters | ||
| Parameter ID | ||
| Default Component name | ||
| Change document | ||
| No Input History | ||
| Basic direction is set to LTR | ||
| No BIDI Filtering |
Field Label
| Length | Field Label | |
| Short | 10 | 1 |
| Medium | 15 | 1 |
| Long | 20 | 1 |
| Heading | 0 |
Documentation
Description
The key figure provides an overview of how stock quantities have been distributed within the stock records. The stock quantities are measured in base units of measure.
Structure and use of detailed displays
Here, the detailed display shows how often a record with stock appears in a quantity class. These are linked to each plant.
For example
Plant Total =0 <= 0.001 ... <1 =1 <10 ...
2000 30 60 ... 50 10 800 ...
0001 1500 20 40 ... 40 7 600 ...
0002 500 10 20 ... 10 3 200 ...
Interpretation:
Altogether there are 2000 records, 1500 of which are in plant 0001 and 500 in plant 0002.
In plant 0001 there are 20 records without stock, 40 records with stock between 0 and 0,001 base units of measure (BUoM), ..., 80 records with stock between 0.1 and 1 BUoM, 7 records with exactly 1 BUoM, 800 records with between 1 and 10 BUoM, and so on.
Optimization Note
The display provides an overview of how the quantities are distributed for each record. Because this quantity is related to the BUoM, 5 could mean either 5mg or 5 tonnes. The analysis is based on a suitable BUoM chosen for the material.
This distribution should allow you to check how realistic the above assumption (suitable BUoM) is.
Three areas are of particular interest to the optimization:
a) Records with stock quantity 0 => These are looked at in detail for other key figures.
b) Only records with stock quantity exactly = 1 => If you use this function for batch stocks, it could lead to system performance problems. If there are any such problems, check whether you can't use other functions to implement the business, such as serial numbers.
c) Records with very small stock quantities => These small quantities probably exist due to a rounding error which meant the quantity was not completely withdrawn from the accounting sheet, but that instead a minimum amount remained. The record cannot be archived or deleted because of this minimum amount although, physically, no more stock is available. You need to intervene here.
Caution: Very small quantities can however be significant for valuable materials.
An example of c)
A solvent is produced in kilogram units but is sold in liters. One liter of the solvent weighs 1,111 kg.
If you produce 1 tonne of solvent but sell 900 liters (= 999.9 kg), 0.1 kg remains on the accounting sheet but of course, it will not exist in the warehouse.
History
| Last changed by/on | SAP | 19990223 |
| SAP Release Created in |
