master data overview

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

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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. Master Data for SCM (1) Theories & Concepts EGN 5623 Enterprise Systems Optimization (Professional MSEM) FAll , 2012. - PowerPoint PPT Presentation

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Page 1: Master Data Overview

Master Data for SCM (1)Master Data for SCM (1)

Master Data for Demand Master Data for Demand Planning & Fulfillment Processes Planning & Fulfillment Processes

EGN 5623 Enterprise Systems OptimizationEGN 5623 Enterprise Systems Optimization(Professional MSEM)(Professional MSEM)

Fall, 2012Fall, 2012

Page 2: Master Data Overview

Master Data for SCM (1)Master Data for SCM (1)

Theories & ConceptsTheories & Concepts

EGN 5623 Enterprise Systems OptimizationEGN 5623 Enterprise Systems Optimization(Professional MSEM) (Professional MSEM)

FAll, 2012 FAll, 2012

Page 3: Master Data Overview

Master Data for SCM (1)Master Data for SCM (1)

Master Data in Demand PlanningMaster Data in Demand Planning

EGN 5623 Enterprise Systems OptimizationEGN 5623 Enterprise Systems Optimization(Professional MSEM) (Professional MSEM)

Fall, 2012Fall, 2012

Page 4: Master Data Overview

Master Data OverviewMaster 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.

Page 5: Master Data Overview

Master Data OverviewMaster 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.

Page 6: Master Data Overview

Master Data Objects in SAP APO Master Data Objects in SAP APO and SAP ERP (review)and SAP ERP (review)

Page 7: Master Data Overview

Location Types in SAP APOLocation 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.

Page 8: Master Data Overview

Location Types in SAP APOLocation Types in SAP APO

Page 9: Master Data Overview

DP Function in SCM (review)DP Function in SCM (review)

THEORY AND PRACTICE OF ADVANCED PLANNER AND OPTIMIZER IN SUPPLY CHAIN DOMAIN by Sam Bansal

Page 10: Master Data Overview

Common Time Horizons for DP and Common Time Horizons for DP and Sales in SCM (review)Sales in SCM (review)

Page 11: Master Data Overview

Level of Detail and Time Horizon Level of Detail and Time Horizon of DP in APO Modules (review)of DP in APO Modules (review)

Page 12: Master Data Overview

DP and Sales Processes in APO DP and Sales Processes in APO Modules (review)Modules (review)

Page 13: Master Data Overview

DP Module in APO System DP Module in APO System Structure and Integration with ERP Structure and Integration with ERP (review)(review)

Page 14: Master Data Overview

Overview Master Data and Overview Master Data and Application in DP and Sales (review)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.

Page 15: Master Data Overview

Overview Master Data and Overview Master Data and Application in DP and SalesApplication in DP and Sales

Page 16: Master Data Overview

Process for Demand PlanningProcess for Demand Planning

Page 17: Master Data Overview

Demand Planning ProcessDemand 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

Page 18: Master Data Overview

Planning Levels and Consistent Planning Levels and Consistent PlanningPlanning

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”.

Page 19: Master Data Overview

Data Structure for Demand PlanningData Structure for Demand Planning

Page 20: Master Data Overview

Planning Levels and Consistent Planning Levels and Consistent PlanningPlanning

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.

Page 21: Master Data Overview

Planning on Aggregated LevelPlanning on Aggregated Level

Page 22: Master Data Overview

Automatic DisaggregationAutomatic Disaggregation

Page 23: Master Data Overview

Demand Planning Structure Demand Planning Structure OverviewOverview

Page 24: Master Data Overview

Demand Planning Structure Demand Planning Structure OverviewOverview• 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).

Page 25: Master Data Overview

Planning Object Structure and Planning Object Structure and Planning AreaPlanning Area

Page 26: Master Data Overview

Planning Object Structure and Planning Object Structure and Planning AreaPlanning Area

It is recommended not to change planning object structure and planning area

Page 27: Master Data Overview

Time BucketsTime BucketsIn 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.

Page 28: Master Data Overview

Data Storage Bucket ProfilesData Storage Bucket Profiles

Page 29: Master Data Overview

Active Characteristic Value Active Characteristic Value Combinations (CVC)Combinations (CVC)

Page 30: Master Data Overview

Entities for Life Cycle ModellingEntities for Life Cycle Modelling

Page 31: Master Data Overview

Settings for Life Cycle Planning Settings for Life Cycle Planning ExampleExample

Page 32: Master Data Overview

PromotionPromotion

Page 33: Master Data Overview

CVC for the Use of DP-BOMsCVC for the Use of DP-BOMs

Page 34: Master Data Overview

Release of the Demand PlanRelease of the Demand Plan

Page 35: Master Data Overview

Process for Forecast after Process for Forecast after ConstraintsConstraints

Page 36: Master Data Overview

Structure of the Transfer to SAP Structure of the Transfer to SAP ERPERP

Page 37: Master Data Overview

Master Data for SCM (1)Master Data for SCM (1)

Master Data in Fulfillment Master Data in Fulfillment ProcessProcess

EGN 5623 Enterprise Systems OptimizationEGN 5623 Enterprise Systems Optimization (Professional MSEM) (Professional MSEM)

Fall, 2012 Fall, 2012

Page 38: Master Data Overview

Process for Order FulfillmentProcess for Order Fulfillment

Page 39: Master Data Overview

Order Fulfillment OverviewOrder Fulfillment OverviewOrder 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.

Page 40: Master Data Overview

Order Life CycleOrder Life Cycle

Page 41: Master Data Overview

Tasks during Sales Order Tasks during Sales Order EntryEntry

Page 42: Master Data Overview

Categories and Attributes of a Categories and Attributes of a Supply Chain (review)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

Page 43: Master Data Overview

Business EventsBusiness Events

Page 44: Master Data Overview

Default Assignment of Strategy to Default Assignment of Strategy to Requirement ClassRequirement Class

Page 45: Master Data Overview

Location Substitution with Location Substitution with /Without Stock Requisition/Without Stock Requisition

Page 46: Master Data Overview

Transaction for Condition Transaction for Condition TechniqueTechnique

Page 47: Master Data Overview

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

Fulfillment Processes Fulfillment Processes

SAP Implementation SAP Implementation

EGN 5623 Enterprise Systems OptimizationEGN 5623 Enterprise Systems Optimization(Professional MSEM) (Professional MSEM)

Fall, 2012Fall, 2012

Page 48: Master Data Overview

Master Data, Model, and Master Data, Model, and Version Version

Page 49: Master Data Overview

SAP ERP Transactions for SAP ERP Transactions for Independent Demand ConfigurationIndependent Demand Configuration

Page 50: Master Data Overview

Exercises:Exercises:

1. Create plant location 2. Create distribution center locations3. Create vendor locations4. Create customer locations5. Create finished product master6. Create raw materials master 7. Create resources master8. Assign plant, DC, vendors, customers, finished product, raw

materials, and resources to active model