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1 SAP Logistic Chair or Production & Operations Management University of Vienna All for One Vienna, Austria Franz Birsel Structures – Master Data

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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

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

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

Page 3: 1 SAP Logistic Chair or Production & Operations Management University of Vienna All for One Vienna, Austria Franz Birsel Structures – Master Data

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.

Page 4: 1 SAP Logistic Chair or Production & Operations Management University of Vienna All for One Vienna, Austria Franz Birsel Structures – Master Data

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.

Page 5: 1 SAP Logistic Chair or Production & Operations Management University of Vienna All for One Vienna, Austria Franz Birsel Structures – Master Data

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.

Page 6: 1 SAP Logistic Chair or Production & Operations Management University of Vienna All for One Vienna, Austria Franz Birsel Structures – Master Data

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

Page 7: 1 SAP Logistic Chair or Production & Operations Management University of Vienna All for One Vienna, Austria Franz Birsel Structures – Master Data

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.

Page 9: 1 SAP Logistic Chair or Production & Operations Management University of Vienna All for One Vienna, Austria Franz Birsel Structures – Master Data

9Chair of Production & Operations Management University of Vienna All for One Vienna, Austria

Enterprise structure of a Purchasing Organisation

SAP AG

Page 10: 1 SAP Logistic Chair or Production & Operations Management University of Vienna All for One Vienna, Austria Franz Birsel Structures – Master Data

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.

Page 11: 1 SAP Logistic Chair or Production & Operations Management University of Vienna All for One Vienna, Austria Franz Birsel Structures – Master Data

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

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

Page 13: 1 SAP Logistic Chair or Production & Operations Management University of Vienna All for One Vienna, Austria Franz Birsel Structures – Master Data

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.

Page 14: 1 SAP Logistic Chair or Production & Operations Management University of Vienna All for One Vienna, Austria Franz Birsel Structures – Master Data

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.

Page 15: 1 SAP Logistic Chair or Production & Operations Management University of Vienna All for One Vienna, Austria Franz Birsel Structures – Master Data

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.

Page 16: 1 SAP Logistic Chair or Production & Operations Management University of Vienna All for One Vienna, Austria Franz Birsel Structures – Master Data

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.

Page 17: 1 SAP Logistic Chair or Production & Operations Management University of Vienna All for One Vienna, Austria Franz Birsel Structures – Master Data

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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