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INFO 463 -Final Project Reengineering Using SAP Metadata

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INFO 463 -Final Project Reengineering Using SAP Metadata Melinda Bedford David Chin Ronda Pararas December 10, 2001 BCP International, Inc. Our company manufactures ... – PowerPoint PPT presentation

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Title: INFO 463 -Final Project Reengineering Using SAP Metadata


1
INFO 463 -Final Project
Reengineering Using SAP Metadata
  • Melinda BedfordDavid ChinRonda
    PararasDecember 10, 2001

2
BCP International, Inc.
  • Our company manufactures and sells widgets to
    retail customers.

3
Business Climate
  • BCPI has been experiencing difficulty providing
    its parts suppliers with accurate and timely
    forecast data for materials requirements based on
    its production plans.
  • As a result, the suppliers either cannot meet
    BCPIs supply requirements when the materials are
    needed or they incur additional costs to
    warehouse surplus parts.
  • BCPIs primary concern is that bottlenecks in the
    production process due to supply problems have
    caused delays in fulfilling orders for several
    significant retail customers.

4
Business Objective
  • BCPIs objective is to more accurately coordinate
    materials purchasing with production
    specifically through better forecasting methods.
  • In order to meet this objective, it needs to
    provide its suppliers with quick and accurate
    forecasts based on sales information in real-time
    fashion.

5
BCPI Current Business Process
  • Each functional business area stores their
    information in a separate database.
  • The Sales, Production and Materials departments
    do not have real time figures to accurately
    forecast for their suppliers.
  • BCPI is currently unable to provide any kind of
    timely sales information regarding various widget
    sales. Sales information provided to our
    suppliers range from 1-3 months old. Often,
    sales figures are corrected by the
    Accounting/Finance department (as part of the
    routine auditing/close-out purposes). Corrected
    figures are forwarded to our suppliers, but tend
    to cause further delays in delivery of materials
    due to cumulative delays along the communication
    chain.

6
As-Is Business Process
7
Goal
  • To evaluate SAP software to determine if it
    would meet the needs of BCPI.

8
SAP Module Investigation
  • Target Logistics / Production / Production
    Planning / Materials Forecast / Forecast /
    Individual Forecast Sub-Module
  • Scope Execute, Execute ForecastParameter
    Overview, and Execute ForecastForecast Values
    screens

9
Materials Forecast Application Hierarchy
Select Execute to view the Execute Forecast
Screen
10
Individual Forecast Description
  • Executed for a particular material, Material
    Requirements Planning (MRP) Area, Plant ID and
    date.
  • Creates the demand program and automatically
    calculates the reorder point and safety stock
    level.
  • Based upon production estimates from sales
    projections. Therefore, the data is pulled from
    existing tables.

Continued..
11
Individual Forecast Description (continued)
  • Before a forecast is calculated, the following
    must take place
  • The forecast parameters must have been maintained
    in the article master
  • The period for which the system is to carry out
    the forecast must be determined. This can be a
    daily, weekly, or monthly basis, or according to
    accounting period
  • How the system selects the forecast model must be
    determined. This can either be done manually by
    the RP controller or automatically by the system.
    If no historical values were entered when
    creating the article master, manual model
    initialization must be used.

Continued..
12
Individual Forecast Description (continued)
  • There is also the possibility of revising a
    widget's historical values,
  • which are normally automatically updated by the
    system during
  • withdrawal postings. This can be done in two
    ways
  • by manually changing the values in the article
    master by means of the correction values and
    correcting the weighting factor for the
    historical values in customizing, or
  • by reducing the number of periods to be taken
    into consideration by limiting the number of
    historical values in the article master. This
    means that not all of the historical values are
    used for the forecast, and instead, only the
    number of values that you enter.

13
Metadata Analysis Method
  • There are no tables or views referenced in the
    Saphir Application Hierarchy for this sub-module.
    This sub-module utilizes Structures.
  • Using SAP, we drilled down through the Individual
    Forecast screens and the associated structures to
    identify the data fields, data types, and the
    source table for each of a subset of those data
    fields.
  • We then used Saphir metadata to identify parent
    and child relationships for these tables, foreign
    key and check table relationships and development
    classes.

14
Execute Forecast Initial Screen
3
Click green arrow to advance to Parameter
Overview screen
1
Enter material for which forecast is to be
executed
2
Enter plant id number
15
Execute Forecast Parameter Overview
Click to display current forecast values
16
Execute Forecast Forecast Values
17
RM61W Structure
  • Drilling down in the Material field on the
    Execute Forecast Initial Screen will display
    the RM61W structure. This structure contains
    many of the data elements required for processing
    individual material forecasts.
  • Drilling down in the component field in the RM61W
    structure and analyzing the component types
    allowed us to relate the elements to tables.
    Specifically, ties to the PROP, PROW, MAPR, PRON,
    and T440L tables were identified.

Click on icon to view field level data in these
tables and parent/child tables.
18
RM61W Structure Page 1 of 3
19
RM61W Structure Page 2 of 3
20
RM61W Structure Page 3 of 3
21
Sources of Data for Execute Forecast Parameters
Overview
  • Drilling down in each field on the Parameters
    Overview screen allowed us to associate each
    field with a table or structure.
  • All of the data elements were identified as being
    from either the PROP (Forecast Parameters) table
    or MAPRO (View on Material Master Forecasting)
    structure.

22
Sources of Data for Execute Forecast Parameters
Overview
The following fields on the Parameter Overview
Screen are found in the PROP Table
Tracking Limit (SIGGR) Selection
Procedure (MODAV) Optimization Level (OPGRA) Histo
rical Periods (PERAN) Initialization
Pds (PERIN) Periods per session (PERIO) Forecast
Periods (ANZPR)
Last Forecast Field (PRDAT) Forecast
Model (PRMOD) Forecast Profile (PROPR)Basic
Value (GWERT) Trend Value (TWERT) Initialization
(KZINI) Model Selection (MODAW) Fixed
Periods (FIMON)
Click on icon to view all fields in the PROP table
23
Sources of Data for Execute Forecast Parameters
Overview
The following fields on the Parameter Overview
Screen are found in the MAPRO structure Period
Indicator (PERKZ) Base Unit of Measure (MEINS),
Service Level (LGRAD) Safety Stock (EISBE) Reor
der Point (MINBE)
24
MAPRO Structure Page 1 of 2
25
MAPRO Structure Page 2 of 2
26
Metadata About Table Hierarchy
After the source tables for the data elements
were identified, parent/child relationships for
the tables were determined and diagrammed.
27
Table Hierarchy
MARA General Material Data
MPRP Forecast Profiles
PROW Forecast Values
MARC Plant Data for Material
T024D MRP Controllers
PRON Post-processing Of Forecast Errors
PROP Forecast Parameters
PROH Basic Values Consumption Or Actual Number
LISR Planning Object Index for Forecast
MAPR Material Index For Forecast
28
Metadata about Development Classes
  • The development class of each of the required
    tables was determined by finding the tables in
    the Saphir Application Hierarchy. (These results
    were later verified using the Access database
    containing the Saphir data).
  • This yielded information about interaction
    between the Material Individual Forecast
    submodule and other SAP submodules.

Click on icon to view development class data.
29
Metadata about Foreign Key and Check Table
Relationships
Click on an icon to view the metadata. Please
note that in many cases a table is related to
itself due to a parent-child relationship.
Foreign Keys - Incoming (other tables use our
tables)
Foreign Keys - Outgoing (our tables use other
tables)
Check Tables - Incoming (other tables use our
tables)
Check Tables - Outgoing (our tables use other
tables)
30
Metadata about Views
Click on the icon to view the metadata about the
views.
31
BCPI Future Business Process
  • The different business areas will be able to
    store their information in a shared database
  • This allows for data consistency, less
    redundancy, the ability to take advantage of
    sharing information in real-time, and most
    importantly
  • It allows materials suppliers the ability to tap
    into a portion of our database directly for
    material information

32
To-Be Business Process
33
SAP Module Assessment
Based upon our findings regarding the sub-module
under investigation, we have concluded that the
SAP Production Planning module has the potential
to meet our strategic objectives.
34
Production Planning Module Benefits
  • Would allow BCPI suppliers to tap into our widget
    sales and materials forecast data in a real-time
    fashion, so that they can provide the materials
    needed in JIT fashion.
  • Would allow BCPI to keep better track of sales
    information. Not only could sales information be
    entered / updated / modified in real-time
    fashion, any corrections made by the accounting /
    finance department would automatically correct
    sales figures which in turn could be accessed by
    our suppliers.
  • Would allow BCPI to store our materials lists for
    various widgets.

35
Future Considerations
  • Because SAP is an integrated product that is
    designed to work synergistically with other
    sub-modules across functional boundaries, the
    Production Planning module (where the materials
    forecasting feature is available) could not be
    implemented as a stand-alone product.
  • At least one other module (Sales Operation
    Planning) would have to be purchased in
    conjunction with Production Planning.
  • Depending upon the cost of purchase and
    implementation, we need to reassess whether the
    return on investment would be favorable to BCPI.

36
Decision Factors
  • Cost of Purchase and Implementation
  • Cost of Employee Training
  • Length of Implementation
  • Effects of Implementation on Business Processes
    Related to Materials Forecasting and across other
    Business Functional Areas.

37
BCPIs Course of Action will include
  • Investigation of other software
    packages(PeopleSoft)
  • Organizing a project team to determine the
    feasibility of in-house IS integration and
    application of Business Process Reengineering to
    the Supply Chain Management Processes and related
    areas.

BCPIs final decision will ultimately depend upon
our findings of the above items.
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