3913 - Update on SAP Supply Chain Planning

Transcription

[
3913 - Update on SAP Supply Chain
Planning
Eric Simonson & Mike Lipton
[ Learning Points
APO features in SCM 7.0 Enhancement Pack 1
Enterprise Inventory Optimization by SmartOps Update
Supply Chain Response Management by ICON-SCM Update
Real Experience. Real Advantage.
2
[ SAP Enhancement Package 1 for SAP APO 7.0 Overview
Globalization & Outsourcing
Clear-to-Build
* Enable an integrated APO SNC
scenario to consider supplier
confirmation for planning
Have resulted in stretched supply chains and increased risk. Timely
analysis, response, and resolution of supply chain issues is impossible due
to lack of control.
Direct Shipment
* Enable supply chain planning with
direct shipping to end customers from
vendors and factories
Lack of
Visibility
beyond the four
walls
Anticipating the next supply
chain disruption is not possible
due to lack of visibility.
Enhancements in APO
DP, SNP
• Improved Chart Engine
• Forecast Consumption
• Transport Load Builder
Inability to sense and respond
to real time demand signals.
gATP Enhancements
APO for AFS
Industries
* Aggregated Planning
Fear of Poor
Customer
Service
* Sub-Items
* Inconsistencies with Descriptive
Characteristics
* Correction report for Sales.
* MATP & Remaining Qtys..
* BOPIN Enhancements
* Performance Enhancements
Enhancement Package 1 for SAP APO 7.0
[SAP
Direct Shipment Planning / Third Party Order Planning
Objective of the new developments
The off-shore vendor and off-shore own manufacturing model has grown significantly over the last
years led by the fashion, hi-tech, and consumer products industries. Companies increasingly save on
transportation and own distribution center handling costs by direct shipping to end customers from
vendors and factories.
Support of mid-term supply chain planning for third party orders considering forecasting capabilities
and finite capacities at the supplier.
BRAND OWNER
- Low costs of co-ordination
- Low costs of DC space
Sales Order
CUSTOMER
- Better Service
- More efficient transportation
Purchase Order
VENDOR / FACTORY
- Value Added Services*
and Customization
- High visibility
- High Collaboration
Deliver direct to Customer DC or Customer Store
Prerequisite: Business Function SCM_APO_DRS_PLAN & LOG_MM_OM_2 (ECC EhP5) need to be
switched on.
©
SAP Enhancement Package 1 for SAP APO 7.0
[Direct Shipment Planning / Third Party Order Planning
Supply Chain Planning
using SAP APO CTM
Third Party Order Processing
using SAP ERP
Normal
SO
Sales Order Processing
with Direct Ship Check
Normal Sales Process*
DS Order
Creation of TP-Purchase
Requisitions (blocked)
Supply Chain Planning
Forecast consumption
CTM planning run
Comparison Report
TP-Purchase Reqs
vs. CTM planned orders
TP-Purchase
Requisitions (unblocked)
(*) The normal sales orders are
treated in the same way as in
previous ERP / SCM releases:
They can be transferred to APO
and be delivered from a DC
Creation of
Purchase Order
Release of
TP-PReq to ERP
Manual
Adjustments
Notes:
TP = Third Party
Only Single Sourcing for DS Orders supported
Vendor location has to be modelled in APO
Direct Ship Check can be based on Product Group,
Customer, Order Size,…
[
SAP Enhancement Package 1 for SAP APO 7.0
Aggregated Planning (AFS)
With SAP APO 5.0, the concept of aggregated planning has been introduced to SAP
APO. Currently, the aggregated planning does not consider the AFS distribution profile
and works only correctly if infinite capacity is assumed.
With SCM 7.0 EhP1, accurate aggregated planning in SAP APO includes the
consideration of the AFS distribution profile, automatic aggregation in CTM and a new
dis-aggregation report
Functional Enhancements
Transfer of AFS distribution profile to SAP APO via CIF
Release of Forecasts from DP to SNP / Forecast Consumption
Consideration of AFS distribution profile
Forecast consumption on aggregated level
CTM Enhancements
Automatic aggregation
Consistent disaggregation
SNP Interactive Planning
Order changes on aggregated level can be disaggregated according to AFS
distribution profile, quotations or demands in the bucket.
Pegging information is shown at detailed order level and will be retained.
Prerequisite: Business Function SCM_APO_HIER_AGG_PLAN needs to be switched on
[ SAP Enhancement Package 1 for SAP APO 7.0
Transfer of AFS Distribution Profile to SAP APO
Transfer of AFS distribution profile to SAP APO via CIF
AFS size split is transferred to SAP APO hierarchy master data as time-dependent quota
arrangements
[ SAP Enhancement Package 1 for SAP APO 7.0 - CTM
CTM Enhancements
Automatic Aggregation in CTM run (“enhanced aggregated planning“)
New Disaggregation report to disaggregate the CTM planning results from header product level to
detailed SKU level
The linkage information (pegging) between detailed and aggregated levels is temporarily saved and a
consistent disaggregation is done.
SNP Interactive Planning
Order changes on aggregated level can be disaggregated according to time-dependent quotations, AFS
distribution profile or demands
Pegging information is visibly shown at detailed order level and will be retained
DP / SNP Chart Engine
Improve usability of the chart engine
Ease of chart engine customizing
Interaction between chart and grid: marking of cells in the grid highlight the according points in the
chart, and vice versa
Display of the chart:
– Dynamically setting of start and end period of the chart
– Definition of shown periods in the chart independently from the grid
– Scalability of the Y-axis ( value axis): set of minimum and maximum value
– Show or hide chart legend
– The chart can be shown in full screen mode
– Inverting of key figure values
Printing of the chart
Central maintenance and transport from chart customizing: report
/SAPAPO/MSDP_CHART_CUSTOM to copy and delete chart engine customizing
Prerequisite: Business Function SCM_APO_DP_SNP_CTM needs to be switched on
[ SAP
DP /SNP Chart Engine
General Chart Customizing in Design Mode of the Planning Book
Switch Graphic Settings to perform
general chart customizing
[SAP
DP Continuous Improvements
Bucket-oriented forecast consumption
The principle of the bucket-oriented consumption modes is that forecast is only consumed within the
specified bucket and forecasts of other periods are unconcerned.
Application Log for Demand Planning (transaction: /sapapo/sdpapplog) to access the standard application
logs for:
DP in the background
Promotion management
Proportional factor calculation.
[ SAP Enhancement Package 1 for SAP APO 7.0 CTM Continuous Improvements
Avoidance of excess supply caused by lot sizes and lot splits
Better understanding of CTM results
Merge Orders to avoid excess supply
In case Lot Sizing is used in CTM planning excess supply might get generated in upstream operations
due to lot splits in downstream operations which is caused e.g. by capacity constraints.
Explanation Tool
Prior to today the CTM explanation tool gave insufficient and partly misleading information.With
SCM 7.0 EhP1 new explanations are introduced to get a better understanding which issues have
caused the capacity, lateness, or partial \ non fulfillment of orders.
If the supply element is outside the “threshold for notification” setting in the Explanation Profile, will
receive “Order was scheduled with earliness of x hours” message.
TLB Continuous Improvements
Better usability of TLB
Selection Profile for TLB and TLB run for selected products only
Using this feature of product selection only the selected products will be locked, and more than one
planner can work on the same transportation lane.
[SAP Enhancement Package 1 for SAP APO 7.0 - GATP
Continuous Improvements to gATP basic functions.
Sub-Items
–
Avoid sub-item creation when the requested product was not changed and the confirmation is in one
location.
Inconsistencies with Descriptive Characteristics
– Correction report for Sales Orders and Deliveries, SDRQCR21, now will check and correct
inconsistencies with descriptive characteristics.
Multilevel available-to-promise (MATP) & Remaining Qtys.
–
–
When creating the remaining requirement on component level of a MATP the checking horizon is
used for correlating the results to header level .
Backorder Processing (BOPIN) Enhancements
General enhancements done in the interactive BOP transaction to allow for better navigation such as
search functionality by availability date, Paging buttons enabled
Performance Enhancements
– Reading/Writing to the Planning Area in DP enhanced. Memory consumption down which could lead
to a 20-25% improvement.
Multi-item single delivery location (MISL) Enhancements
–
Validities on Products, Exclusive Rules for Product determination
Prerequisite: Business Function SCM_APO_ATP_1 needs to be switched on
[ Collaborative Supply Planning
Enhanced integration between SAP APO and
SAP SNC to support multi-tier and multi
product planning and collaboration business
scenarios
Supplier submitted ‘Planned Receipts’ in SAP
SNC can be used in SAP APO Capable-ToMatch (CTM) planning runs to provide a more
realistic plan considering near real-time
information provided directly by the business
partner
Integration is industry independent and suitable
for all industries with constraint based planning
scenarios
[ Supplier Planning Collaboration - Process Overview
[ Supplier Planning Collaboration
Two Tier Collaboration
The 2 Tier Collaboration Process
Collaboration first happens between OEM and CM for finished products: OEM shares
finished product forecast with CM.
Collaboration then happens for critical components (and not all components!) between OEM
and Component Suppliers: to determine if sufficient component supply is available.
Component Suppliers respond back with a supply commit.
Collaboration finally happens between OEM and CM for finished products: OEM shares clear
to build with CM. CM produces and ships finished products accordingly.
[ Learning Points
22
[ Legal Disclaimer
The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the
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information on this document is not a commitment, promise or legal obligation to deliver any material, code or
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limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement. This
document is for informational purposes and may not be incorporated into a contract. SAP assumes no responsibility
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limitation direct, special, indirect, or consequential damages that may result from the use of this document. This
limitation shall not apply in cases of intent or gross negligence.
All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking
statements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions.
[ SAP APO Enhancements
in Enhancement Package 2 for SAP APO 7.0
Usability
Improved usability for Interactive Backorder Processing and Alert Monitor
New Planner’s Home Page as entry point for supply chain planners
Re-designed user interface adopting latest SAP UI technology
Simulation
Enhanced flexibility in managing supply chain scenarios and
production plans
Improved version management
Improved handling of outliers, events & causal effects in Demand Planning
Classification and forecast optimization
Enable availability check during planning runs
Enhanced capabilities for process industries in PP/DS
Consistency checks for Service Parts Planning
[ APO UI Re-Design
SCM 7.0 EhP2 delivers the first step of
a new SAP APO user experience
Solution Enhancements
Start on a roadmap to re-design the most relevant
interactive screens in SAP APO based on latest UI
technology and user experience research
In EhP2 focus is on re-designing interactive
Backorder Processing, Alert Monitoring and
introducing a Planner’s Home Page
Key Benefits
Improved usability and user efficiency
Based on latest SAP UI technology
Homogeneous end user experience between APO
applications
Enhanced built-in personalization features
[ APO UI Re-Design – Technology Information
SCM 7.0 EhP2 delivers the first step of
a new SAP APO user experience
Use of new interactive planning screens requires
NetWeaver Business Client 3.5 (NWBC 3.5), either
as front-end client or as HTML client
NWBC follows the role paradigm. Planner’s Home
Page requires defined user roles e.g. for navigation
New user interfaces are based on SAP NetWeaver
WebDynpro UI Technology
Key Benefits
Greatly improved personalization functionality in
NetWeaver WebDynpro screens allows the user to
customize content, structure as well as the overall
layout of the screens
[ Planner’s Home Page and Alert Worklist
New UI experience for APO users
using the Planner’s Home Page
Personalized UI building blocks
(Add/Remove/Resize/Move)
Better alert overview via user defined Alert
Queries – re-designed Alert Monitor
Easy check of KPIs for Location Products,
Resources, Characteristic Value Combinations
Link favorite reports, notes, and launch favorite
selections and applications
Key Benefits
Single APO entry point for planners
Improved user efficiency
Quick access to both APO internal and external
information
Improved usability accessing Alerts via Planner’s
Home Page
Based on latest SAP UI technology
[ Planner’s Home Page and Alert Worklist
One-Click navigation from Planner’s Home Page to alert details or interactive
planning transactions
[ Planner’s Home Page – Content Blocks
Personaliza
tion
Content
Blocks
[ Enhanced Interactive Backorder Processing
Improve flexible and efficient handling
of backorders
Flexible selection of requirements worklist for
interactive backorder processing
Multi-item backorder processing and true
availability checks (including rules-based ATP) for
requirements
Precise and user-driven definition of requirements
priorities through flexible sequence definition
Key Benefits
Higher efficiency in re-assigning order confirmations
Display of relevant items in new requirements
worklist can be personalized
Better control of re-assignment results
Usability
Simulation
production plans
[ Version-Dependent Master Data
Better Simulation Capabilities via
Extending the Version Specific MD
New version-dependent fields in Location, Location
Product, PPM, Transportation Lane Master Data
Extended mass maintenance (MASSD) for the
objects mentioned above
Editable PP/DS Product Data Structure (PDS)
Restricted editing capabalities for SNP PDS
Key Benefits
More flexible changes to version-dependent master
data
Improved simulation capabilities for Planners in SNP,
CTM, and PP/DS
PDS is directly editable in APO for SNP (header
level) & PP/DS (complete)
[ New Version-Dependent Master Data Fields
[ PDS Edit Matrix
PDS Type
PP/DS
SNP
CTM
Copy via Version Copy
YES
YES
YES
Copy via CURTO_EDIT
YES
YES
NO
Changes in Active Model (000), Active Version (000)
YES*
YES**
NO
Changes in Active Model (000), Inactive Version
YES
YES**
NO
Changes in Inactive Model, Inactive Version
YES
NO
NO
Inactive Status for the PDS
YES
NO
NO
Feature
* No structural changes allowed, only fields that are editable in PDS_MAINT are changeable
** No structural changes allowed, only header fields from PDS_MAINT changeable
[ Partial Version Copy
Better Simulation Capabilities via
Improved Version Copy
Enabling copy only parts of the supply chain
including master and transactional data based on
the defined selection
Filtering (restricting) the supply chain copy based on
objects (e.g. production resource, SNP selection
profile,...)
Easy selection of master data for copying
Same capabilities between VERCOP & MVM
Key Benefits
Improved runtime
Less liveCache memory usage
More options to restrict the scope of copy of the
supply chain
Allows copying / resulting view of just a certain
portion of the supply chain model
Usability
Simulation
production plans
[ Demand Planning – Events and Outliers
Detect and manage outliers and events
with irregular occurance
Separate outlier detection and forecasting
Event type definition for one-time and recurring
events
Automatic detection of events in history and
consideration in forecast
Visualization and manual labeling in interactive
planning
Key Benefits
Easier correction of history and inclusion of
promotions and events in the future due to
automation and usability improvements
Improved statistical forecast quality for volatile
products e.g. products with frequent promotions
[ Demand Planning – Forecasting Improvements
Improve forecast accuracy by better
modeling external impacts
Use of seasonality pattern from a higher aggregation
level
Combined causal analysis with time series
(univariate) forecasting
Automatic causal factor selection
Price changes handled as a key causal factor
Key Benefits
More accurate forecasting results due to more
sophisticated forecasting methods
Enhanced forecast quality for seasonal products and
products with strong causal correlation
[ Demand Planning – ABC / XYZ Classification and
Forecast Optimization
Improve quality and automation of
forecast parameter determination
Segmentation of demand planning data based on
value (ABC class) and volatility (XYZ class)
Define own classes and thresholds for segmentation
Forecast profile assignment based on class
Optimal forecast model selection based on
univariate and causal models
Key Benefits
Improved forecasting process using segmentation
More accurate new product forecast due to special
consideration for new products as an own class
Automate a more sophisticated forecasting process
without high level of skill and intervention needed
by the user
[ Invisible Orders Concept for CTM / SNP Optimizer Run
gATP check during SNP Optimizer or
CTM run provides better results
Invisible Order concept allows to keep prior supply
elements visible to gATP checks during the planning
runs
Prior supply elements will be deleted at the end of
the planning run before saving the newly created
supply elements
Key Benefits
Reliable gATP check results during CTM / SNP
Optimizer run
Easy setup – one flag in CTM / Optimizer profile
[ CTM Supply Consumption
Consume existing inventory from entire
network before creating new supplies
Forecast = 100
Distribution Center
Consume fixed supplies on lower priority path
before creating new supply on path with higher
priority
Consume components for production on lower
priority path before creating new supply on path
with higher priority
Primary Path
Stock = 0
Secondary Path
Stock = 100
Plant 1
Plant 2
Key Benefits
Better usage of existing inventory and supplies
Peformance will be improved – currently 2 CTM
runs are required for achieving the same result
Easier CTM profile setup (one instead of two)
Plant 3
Explanation:
Stock of 100 PC from secondary path (Plant 2) is used-up to fulfill
the forecast of 100 PC in the distribution center instead of creating
a new supply along the primary path in Plant 1
[ APO PP/DS – Functional Enhancements for
Process Industries
Enhanced detailed scheduling capabilities for process industries
Duration/rate change of an activity on the Detailed
Scheduling Planning Board without changing the
production quantity considering minimum and
maximum limits
New scheduling heuristic to close gaps by stretching
the duration of activities
Continuous and simultaneous fill/drain of
containers/tanks
Key Benefits
Support production planning capabilities for process
industries
Easy change of throughput to avoid projected
overflow of tanks or react to short term increase of
customer demand
Better insight into planned tank fill levels
[ APO PP/DS – Multi Resource Scheduling Heuristic
Enhanced detailed scheduling capabilities for multi-resource scenarios
With Switch periods
and Max. periods
6
5
Orders
4
3
2
A new scheduling heuristic is delivered which
enables flexible finite scheduling across alternative
modes and alternative sources of supply
Key Benefits
Better compliance to due dates and minimization of
set-up time
Support finite production planning scenarios with all
alternative resources
The modeling of alternative resources is not only
restricted to modes and can also be done by
alternative sources of supply
1
Res. 1
PDS 1 / Mode A
Res. 2
PDS 1 / Mode B
Res. 3
PDS 2 / Mode A
[ Learning Points
Enterprise Inventory Optimization by SmartOps
Update
44
[ Growing the Business while Satisfying Consumer
Demand is Getting Tougher
Linear supply chains have evolving into complex global supply networks
Outsourced
Manufacturers
Packaging
Suppliers
Distribution
Centers
Manufacturers
Customers
Retailers
Customers
Customers
Retailers
Customers
Raw Material
Suppliers
Distributors
Serving more consumers
in more markets
Rising costs and
shrinking margins
Capacity Constraints/Variability
Growing product and network
complexity leading to supply and
demand volatility and risk
Global sourcing and increased risk has
lead to increased buffer stocks of
inventories and associated costs
Increasing asset utilization pressures
and capacity shortages
[ Safety Stock \ Inventory Planning Options
Enterprise Inventory Optimization can set safety stock levels (and min/max levels) for raw,
intermediate, and finished products at all levels throughout the Supply Chain. This holistic view
provides the optimal inventory positioning for the entire Multi-echelon network while talking into
account demand variability, supply uncertainty, and production attainment.
1
2
Basic Safety
Stock Planning
Single product, single
location
Integrated with SNP
planning run
Based on manually entered
values from master data
(fixed quantities or days
supply)
Can be static quantity, or
time dependent
SAP SCM or ERP solution
3
Advanced Safety
Stock Planning
Time-dependent values can
accommodate seasonality
and promotions
Based on forecast and
delivery variability and
desired service levels
Considers one location at
a time
SAP SCM solution
Multi-echelon
Inventory
Optimization
Balance inventory and service
levels
Considers entire network at all
levels simultaneously
(manufacturing, distribution,
supply) to minimize total
inventory cost
Supports risk-pooling (reduction
in variability of demand at
component level by aggregating all
end-item demands)
SAP Enterprise Inventory
Optimization by SmartOps
[ Intelligence Modules leverage existing transactional data
to calculate up-to-date planning parameters
Transactional Data
Intelligence Module
Planning Parameters
Forecast error
Identifying and adjusting for:
Forecast history
Sales history
Demand Intelligence
Module
– Bias
– Intermittency
– Seasonality
– Outliers and missing data
Lead time mean
Order date
Ship date
Receipt date
Planned production
Actual production
Supply Intelligence
Module
Production Intelligence
Module
– In-transit
– Order processing / goods receipt
Lead time variability
Schedule attainment mean
Schedule attainment variability
[ How Inventory Optimization Complements SAP
… more layered, multi-tier
supply chains
Multi-echelon
Safety Stock
VMI
Customer
DC
Central
DC
MFG
… more frequent
product launches
Inventory
Segmentation
Inventory segmentation
Optimal
Service
Level for
Every
Product,
Location
Combination
SAP SCM & SAP ERP
Inventory Optimization
Optimal, time-phased inventory
policies for multi-tier network
Service Level
Optimization
Basic
A,B,C
Segmentation
Suppliers
Advanced demand, supply &
production variability analysis
… increasing customer
service expectations
Inventory
Policies
[ EIO Yields Significant Results
Improvement Area
Improve Customer
Service Levels
Reduced Inventory and
Working Capital
Improve Planner
Productivity
Reduced Production &
Distribution Costs
Benefit Enabler
Optimize inventory levels to "fix the mix”
Analyze and implement planning parameters that
meet longer term service objectives
Benefits
5-10% increase in order fill rates and on
time delivery
30-50% reduction in out of stocks and
order lead time variability
Manage inventory by SKU, location, and planning
period
15-30% reduction in inventory and working
capital
Manage dynamic, integrated demand, supply,
production, and inventory analytics and exceptions
20-40% reduction in inventory carrying and
obsolescence costs
Reduce expediting and firefighting
20-30% reduction in time used in expediting
Effectively handle large numbers of low volume
SKUs
10-20% reduction time spent on manual
inventory planning processes
Transition from push to pull strategies
10-20% reduction in PPE and depreciation
due to excess storage facilities
Reduce over production, excessive storage
facilities, and expediting
[ SAP EIO is the lowest cost, easiest to maintain, and least
risk inventory optimization solution to integrate with
SAP Inventory optimization has the potential to create significant and quick
benefits through reductions in inventory and increased sales
Integrating inventory optimization to SAP at an enterprise level in a cost
effective way has many challenges, which can put not only the value of
inventory optimization solutions at risk, but also put the entire business at
risk
SAP EIO pre-built integration assets reduce the cost and risk of
implementation of implementing inventory optimization
Pre-built assets reduce the implementation effort, making SAP EIO the lowest
cost to implement
By leveraging existing master data and proven automated process, SAP EIO is
the easiest to maintain
Up-to-date accurate inventory targets over time, produces sustainable results
with the least risk to the business
[ SAP EIO Pre-built Integration Assets Reduce the Cost
and Risk of Implementation
Source Systems
Standard SAP
Enhancements
APS
ERP
DW
Extract
Outputs
BusinessObjects
Universe &
Reports
Lowest Cost
Faster to implement
Fewer project
resources
Transfer
Data
Gateway
Loader &
Validation
Load
Data
Gateway
Inputs
Topology
Converter
SAP
Connector
Data Store
Outputs
Easiest to Maintain
Leverages existing data
Sustainable automated process
Multi-Stage
Inventory
Planning &
Optimization
Outputs
Intelligence
Modules
Least Risk
Proven enterprise integration
Accurate inventory targets over
time
[ SAP Connector reduces the time and effort to link EIO
with ERP and APO
SAP Connector is a library of commonly used
and custom BAPIs
Extracts input data from SAP master data
tables, including:
Item-material list
Location-plant list
Sourcing
Bill-of-material
Forecast
Sales
Purchase orders
Planned production
Actual production
Feeds inventory targets to SAP MM or
APO tables
Co-developed by SAP and SmartOps, and
updated with SAP upgrades
Reduces interface development time and
effort
[ What’s Coming - New integration functionality provides
enhanced connectivity with ECC
Business Objectives
Facilitate integration to SAP data sources
Maintain and manage SmartOps data in appropriate system
• SAP when part of material data
• SmartOps when system information
New Functionality
Integration/Infra
structure
Customization of ECC to support SmartOps-specific data through an ABAP Add-On
Item-Location (EIO 1)
Item-Location-Customer (EIO 2)
Reconfiguration of existing Material BAPI to leverage standardization and improve performance
Configuration of BAPIs to take advantage of SmartOps data now in SAP
BAPIs for transaction data needed to analytical modules (PIM, SIM)
Ability to persist supply chain information and settings across data loads
[ BusinessObjects Universe & Reports rapidly deploy
supply chain dashboards and ad hoc reporting
Leverage SAP BusinessObjects
Enterprise (BOE) modules
Data universe defined for BOE
modules
Supports analytics & reporting
needs for essential common
workflows
Monitoring of Supply Chain
performance
Executive dashboards
Ad hoc reporting
Pre-defined dashboards, include:
Demand Analytics
Target Performance
Scenario Comparison
[Demand Analytics Dashboard – Review Forecast Error,
Bias and Intermittency
[ Inventory Target Performance Dashboard – Demand,
Supply, and Inventory at a glance
[ Scenario Comparison Dashboard – Review any Supply
Chain Scenario
[ Learning Points
Supply Chain Response Management by ICON-SCM
Update
58
[ Growing Need for Response Management
Powerful Customers / Distribution Partners
Long lead times
Big Box Retailers: Fulfillment penalties
Offshore Suppliers
Fast order turnaround requirements
Contract Manufacturers / Visibility Challenges
Internal and external capacity constraints
Key customer
orders exceed
forecast
Can I
chase
supply?
Supplier says
delivery will
be late
Channel
wants to
increase /
pull in
forecast?
Internal
View
Supply is
short – how
to allocate?
How to protect
commits for key
accounts?
Internal Financial Goals
New Product Introductions
Strategic Priorities
[What is Response Management?
A solution that can quickly answer
and respond to changes in the
supply chain
•
•
Operationally, against the actual
demand/supply situation
In simulation, against hypothetical
situations
Answering critical SCM questions \ what-if in
minutes…
How can I fulfill an unexpected customer order or demand?
How best to adjust to my disrupted supply?
What orders are impacted by my inventory shortage?
How much excess inventory will I have if I make this part substitution?
What orders from next quarter can I build and ship this quarter?
How much capacity do I have, can I add demand or increase capacity?
SAP Supply Chain Response Management at a glance
[
“Respond to change in during economic uncertainty”
Responsive planning and what-if analysis to ensure highly efficient
demand-supply matching
Key Capabilities Offered
Order-based, operational
replanning to adjust for changes to
demand and supply
What-If simulation and analysis to
resolve real and hypothetical
challenges
Characteristics
Fast
Finite materials and capacity
Multi-tier
Intelligent, synchronized supply planning
Flexible
Transparent / Explainable
[ SAP Supply Chain Response Management
Key Elements
Forecasts &
Orders
Demand Priority
Management
Supply Planning
End to End Pegging
What-If Analysis / Transparent & Flexible Reporting
High Speed Solution Engine
1.
Demand Priority Management
Nets and prepares demand for prioritization
Applies flexible priority rules to demand
2.
Supply Planning
Matches supply and demand
Efficiently plans deliveries and planned orders
Fully pegs through all tiers of supply network
3.
What-If Analysis / Transparent & Flexible Reporting
Outputs are insightful end-to-end pegging and planning reports
Demand &
Supply Plan
[ How does SCRM compare with other planning tools?
SCRM
APO/
APO/
APO/
APO/
Supply
Network
Planning
Capable to
Match
global
Available to
Promise
Demand
Planning
ERP
Performs Supply Planning
Order-level
Order-level
Infinite
Performs Demand Rescheduling
Order-level
Performs Allocations Planning
manual
Supports Batch Order
Promising
Supports Real-time Order
Promising
[ Use Cases
Use Case
Description
Master Scheduling
Derive feasible, balanced multi-site
demand/supply plan
Simulation
What-if analysis for changes to master or
transactional data
Shadow Planning
Offline analysis of potential changes to
demand/supply across outsourced network
Allocations Planning
Deriving Allocation levels for enforcement
during order promising
Response Management
Re-planning to match demand and supply to
make short-term supply changes and/or
reschedule demand
Build Determination
Generate build triggers to internal and/or
external manufacturing
Timefram
e
Complement
Components
APO DP, ERP,
(SNC)
M
i
d
APO DP, ERP,
(SNC)
ERP, SNC
S
h
o
r
t
APO DP, ERP,
APO gATP
APO DP, ERP,
(SNC)
ERP
[ SAP Supply Chain Response Management
How Response Management Complements SAP
SAP APO (Advanced Planning)
• Provides demand plan and forecast
• Runs tactical supply plans
• Global ATP for real-time order execution
SAP Supply Network Collaboration
SAP Supply Chain Response Mgmt
• Extends supply requirements to suppliers
• Provides VMI requirements and demand
• Operational re-planning and simulation
• Demand prioritization and feasible supply
analysis
SAP ERP
• Provides current orders and demand data for
prioritization
• Provides current supply data
• Receives updates & changes from SCRM
[ Return on Investment
If applicable, highlight any aspect of your presentation that can
contribute to a significant ROI. Omit slide from presentation if
necessary.
66
[ Key Learnings
Understand recent changes to SCM-APO for Enhancemnet
Package 1 & 2
Review upcoming improvements to Enterprise Inventory
Optimization by SmartOps including Analytics & Integration
Short overeview and update on new version for Supply Chain
Response Management by ICON
67
[
Please remember to complete and return your
evaluation form following this session.
For ongoing education on this area of focus, visit the
Year-Round Community page at www.asug.com/yrc
[
]
Thank you for participating.
SESSION CODE: 3913
68

3913 - Update on SAP Supply Chain Planning

Transcription

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