Master Data for SCM (1) Master Data for Demand Planning

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Master Data for SCM (1) Master Data for Demand Planning

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Master Data for SCM (1) Master Data for Demand Planning & Fulfillment Processes EGN 5623 Enterprise Systems Optimization (Professional MSEM) Fall, 2012 – PowerPoint PPT presentation

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Title: Master Data for SCM (1) Master Data for Demand Planning


1
Master Data for SCM (1)Master Data for Demand
Planning Fulfillment Processes EGN 5623
Enterprise Systems Optimization(Professional
MSEM)Fall, 2012
2
Master Data for SCM (1)Theories
ConceptsEGN 5623 Enterprise Systems
Optimization(Professional MSEM) FAll, 2012
3
Master Data for SCM (1)Master Data in Demand
PlanningEGN 5623 Enterprise Systems
Optimization(Professional MSEM) Fall, 2012
4
Master Data Overview
  • Like in ERP, master data plays an important role
    in APO and control many processes.
  • Some master data objects in APO have analogies in
    ERP like product (Material in ERP), and most of
    these are transferred from ERP. Others have to be
    maintained in APO.
  • Most organisational entities from ERP are not
    needed for APO, which is only concerned with
    logistics and not accounting and costing so
    organizational entities such as company codes, or
    cost centers have no significance in APO.

5
Master Data Overview
  • Most master data such as materials are
    transferred from the ERP to APO.
  • Locations is the main organisational entity in
    APO. In addition, different planners are created
    for each location and each of the following
    modules (DP, SNP, PP/DS, and TP/VS).
  • The planners are assigned to the material master
    (i.e., product in APO) thus they are not
    transferred from ERP.

6
Master Data Objects in SAP APO and SAP ERP
(review)
7
Location Types in SAP APO
  • APO uses only one object for a location it may
    have different location types.
  • APO uses only the location name as the key, not
    the location type.
  • Additional location information such as
    calendars, storage and handling resources and
    planning relevant categories (i.e., stock
    categories for SNP and receipt and issues for
    deployment) are defined in APO.
  • Make sure no code crashes due to plants,
    suppliers or customers with the same names.

8
Location Types in SAP APO
9
DP Function in SCM (review)
THEORY AND PRACTICE OF ADVANCED PLANNER AND
OPTIMIZER IN SUPPLY CHAIN DOMAIN by Sam Bansal
10
Common Time Horizons for DP and Sales in SCM
(review)
11
Level of Detail and Time Horizon of DP in APO
Modules (review)
12
DP and Sales Processes in APO Modules (review)
13
DP Module in APO System Structure and Integration
with ERP (review)
14
Overview Master Data and Application in DP and
Sales (review)
Master Data for Demand Planning CVC, Product,
Interchangeability group. Note CVC can be
generated from historical data that is
transferred from ERP. If no historical data is
available, e.g. for new products, CVC can be
maintained in APO as well. Master data for Sales
Location, Product, Rules, and Interchangeability
group.
15
Overview Master Data and Application in DP and
Sales
16
Process for Demand Planning
17
Demand Planning Process
The result of the demand planning process is the
establishment of independent requirements which
will trigger the planning activities of
distribution, production and procurement
planning. The sales forecast is consolidated
and checked regarding plausibility, probably
checked against a statistical forecast and
corrected according to the experience of the
planner before releasing it for the subsequent
planning steps. The monitoring of the forecast
accuracy and a feasibility check against the
planning constraints (e.g. capacity) are further
common process steps
18
Planning Levels and Consistent Planning
  • The most elementary questions in DP are
  • on which levels (product, product group, ) to
    plan?
  • in which granularity of time (weeks, months) to
    plan?
  • which data is required?
  • In APO, planning levels are represented by
    characteristics (CVC), the granularity of timer
    corresponds to the time (i.e., time bucket), and
    the data (linked to key figures such as revenue
    and sold quantity).
  • Both characteristics and key figures are
    technically represented by info objects.

19
Data Structure for Demand Planning
20
Planning Levels and Consistent Planning
Planning shall take place on the levels of sales
organization, location, product and product
group. Each product belongs to only one product
group Each sales organization is linked to only
one location ( Key figures are sales forecast
and demand plan.
21
Planning on Aggregated Level
22
Automatic Disaggregation
23
Demand Planning Structure Overview
24
Demand Planning Structure Overview
  • The display of the data and the planning is
    performed in Planning book.
  • A planning book is always linked to a planning
    area which contains the key figures. For the
    defined characteristic value combinations (CVC)
    time series are created for each key figure of
    the planning area.
  • The time series contain the actual data, so that
    the planning book serves to display the time
    series of the planning area. The planning area
    itself is connected to a basic planning object
    structure, where the relevant characteristics are
    defined.
  • Historical data is stored in an info cube (which
    contains both characteristics and key figures).

25
Planning Object Structure and Planning Area
26
Planning Object Structure and Planning Area
It is recommended not to change planning object
structure and planning area
27
Time Buckets
In DP there are two kinds of time bucket
profiles the storage bucket profile and the
planning bucket profile. The data of planning
area is always stored in the storage bucket
profile, while the planning bucket profile is
used to display the data in the planning book.
In the planning bucket profile only those
period types (month, week, ) can be used that
are also defined in the storage bucket profile.
If the time buckets do not match as with months
and weeks, the periods are divided as shown
below, in Figure 4.7.
28
Data Storage Bucket Profiles
29
Active Characteristic Value Combinations (CVC)
30
Entities for Life Cycle Modelling
31
Settings for Life Cycle Planning Example
32
Promotion
33
CVC for the Use of DP-BOMs
34
Release of the Demand Plan
35
Process for Forecast after Constraints
36
Structure of the Transfer to SAP ERP
37
Master Data for SCM (1)Master Data in
Fulfillment ProcessEGN 5623 Enterprise
Systems Optimization (Professional MSEM)Fall,
2012
38
Process for Order Fulfillment
39
Order Fulfillment Overview

Order fulfillment contains the processes related
to the customer from order taking, availability
check and confirmation to the shipment to the
customer. The sales order entry is performed in
ERP either manually or via EDI, but ATP check is
carried out in APO during the sales order entry.
The transportation planning is performed in APO
based on the deliveries and sends shipments back
to ERP. There is an alternative way to perform
transaction planning first based on sales orders
and trigger the delivery creation from APO, but
this has disadvantages in the flexibility if ATO
check turns out to be unsuccessful.
40
Order Life Cycle
41
Tasks during Sales Order Entry
42
Categories and Attributes of a Supply Chain
(review)
- Reproduced from Fleischmann B., Meyr H,
Hierarchy and Advanced Planning Systems,
Handbooks in OR and MS, Chapter 9, Elsevier,
2003, pp 457-523
43
Business Events
44
Default Assignment of Strategy to Requirement
Class
45
Location Substitution with /Without Stock
Requisition
46
Transaction for Condition Technique
47
Master Data for SCM (1)Master Data in
Demand Planning Fulfillment Processes SAP
Implementation EGN 5623 Enterprise Systems
Optimization(Professional MSEM) Fall, 2012
48
Master Data, Model, and Version
49
SAP ERP Transactions for Independent Demand
Configuration
50
Exercises
  • 1. Create plant location
  • 2. Create distribution center locations
  • 3. Create vendor locations
  • 4. Create customer locations
  • 5. Create finished product master
  • 6. Create raw materials master
  • 7. Create resources master
  • 8. Assign plant, DC, vendors, customers, finished
    product, raw materials, and resources to active
    model