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![Page 1: 1 SAP Logistic Chair or Production & Operations Management University of Vienna All for One Vienna, Austria Franz Birsel Structures – Master Data.](https://reader030.fdocuments.in/reader030/viewer/2022032313/56649e695503460f94b66375/html5/thumbnails/1.jpg)
1
SAP Logistic
Chair or Production & Operations ManagementUniversity of Vienna
All for One Vienna, Austria
Franz Birsel
Structures – Master Data
![Page 2: 1 SAP Logistic Chair or Production & Operations Management University of Vienna All for One Vienna, Austria Franz Birsel Structures – Master Data.](https://reader030.fdocuments.in/reader030/viewer/2022032313/56649e695503460f94b66375/html5/thumbnails/2.jpg)
2Chair of Production & Operations Management University of Vienna All for One Vienna, Austria
Agenda
Organisation Units – Enterprise Structure
Structure of Sales Organisation
Structure of Purchasing Organisation
Master Data
Material Master
Customer Master
Vendor Master
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3Chair of Production & Operations Management University of Vienna All for One Vienna, Austria
Client
The client is the highest entity of a SAP-System
The client is in commercial, organizational, and technical terms, a self-contained unit in an R/3 System with separate master records and its own set of tables.
General material data applicable to the entire company is stored at client level.
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4Chair of Production & Operations Management University of Vienna All for One Vienna, Austria
Company Code
The company code is a self-balancing unit inside a client
A client can include several company codes.
A client can e.g. be a organisation within a company or a subsidiary.
Accounting data and valuation data will be stored on company code level.
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5Chair of Production & Operations Management University of Vienna All for One Vienna, Austria
Plant
A plant is an organisational unit to subdivide an enterprise according to production, procurement, maintenance, and materials planning aspects.
A plant is a place where either materials are produced or goods and services provided.
To this data, which are storded on plant level, there are also MRP-Data, Work Plans and und BOM‘s.
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6Chair of Production & Operations Management University of Vienna All for One Vienna, Austria
Storage Location
Every storage location belongs to one plant.
A storage location allowing the differentiation of material stocks within a plant.
Physical inventory takes place at storage location level.
A storage area that can be defined for a warehouse in the Warehouse Management (WM) system and can be subdivided in:
Storage Number
Storage Type
Storage Place
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7Chair of Production & Operations Management University of Vienna All for One Vienna, Austria
Example of anenterprise structure
SAP AG
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8Chair of Production & Operations Management University of Vienna All for One Vienna, Austria
Purchasing Organisation
The purchasing organisation is responsible for the provision of materials and services.
The purchasing organisation negotiates with the provider purchasing conditions and is responsible for all purchasing activities verhandelt
The following types of purchasing organisations are possible:
There is only one single purchasing organisation responsible for the whole enterprise .
Each entry range has its own purchasing organisation.
Each factory has its own purchasing organisation.
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9Chair of Production & Operations Management University of Vienna All for One Vienna, Austria
Enterprise structure of a Purchasing Organisation
SAP AG
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10Chair of Production & Operations Management University of Vienna All for One Vienna, Austria
Sales Organisation
The sales organisation divides an enterprise in the demand of the sales.
The sales organisation is responsible for the sales of materials and services.
The sales organisation is divided in distribution channels and divisions.
Each sales organisation has its own entry range.
One sales organisation can be attached to different factories.
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11Chair of Production & Operations Management University of Vienna All for One Vienna, Austria
Enterprise structure of a Sales Organisation
SAP AG
![Page 12: 1 SAP Logistic Chair or Production & Operations Management University of Vienna All for One Vienna, Austria Franz Birsel Structures – Master Data.](https://reader030.fdocuments.in/reader030/viewer/2022032313/56649e695503460f94b66375/html5/thumbnails/12.jpg)
12Chair of Production & Operations Management University of Vienna All for One Vienna, Austria
Organisation structure for the course
Client: 100
Entry range: 1000
Factory : 0050
Storages: UFER Finished productsUHAL Unfinished goodsUROH Raw material
Purchasing organisation: 0050
Sales organisation: 0050
Distribution channel: 10
Division: 00
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13Chair of Production & Operations Management University of Vienna All for One Vienna, Austria
Master Data
Material data The material data contains all necessary information for
the administration of the materials.
Customer- or Debitor data Here all data are filed which are necessary for the business relations to the customer.
Vendor- or Creditor data Here all data are filed which are necessary for the business relations to the vendor.
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14Chair of Production & Operations Management University of Vienna All for One Vienna, Austria
Type of MaterialViews in The Material Data
Type of Material Each material must be allocated to a type of material at creation. The type of material defines certain characters of the material and it has important control functions.
Views With the selection and creation of views the usage of the material is defined. The views are in direct connection to the organisational structures.
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15Chair of Production & Operations Management University of Vienna All for One Vienna, Austria
Transactions for The Material Data
Create Material Data Transactionscode: MM01
Change Material Data Transactionscode: MM02
Display Material Data Transactionscode: MM03
For the initiation of the material data we use the following rules :
Material number = ssss+nn+xxxxx
ssss = Semester description
nn = Number of the User
xxxxx = free chosen text
e.g.: „ss0701testmat“
The Material number must have max. 18-digits.
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16Chair of Production & Operations Management University of Vienna All for One Vienna, Austria
Customer Data
Create Customer Data Transactionscode: XD01
Change Customer Data Transactionscode: XD02
Display Customer Data Transactionscode: XD03
For the work in the course we use the customer „UNI-DEB“ in the examples.
Further customer data can be created as you want.
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17Chair of Production & Operations Management University of Vienna All for One Vienna, Austria
Vendor Data
Create Vendor Data Transactionscode: XK01
Change Vendor Data Transactionscode: XK02
Display Vendor Data Transactionscode: XK03
For the work in the course we use the customer „UNI-KRED“ in the examples.
Further vendor data can be created as you want.
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18Chair of Production & Operations Management University of Vienna All for One Vienna, Austria
Questions
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