digitalization of supply chains with sap ibp & sap s/hana...& optimization (apo) prodution...
TRANSCRIPT
Peter Bickenbach, Solution Hub Lead d-SCM, MEE
Digitalization of Supply Chains with SAP IBP & SAP S/HANA
Prague, 08.11.2018 Peter BickenbachSolution Hub Lead SCM, [email protected]
+49 160360 3857
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Globalization
• Sharing Economy
• Re- & Near-Shoring
• Outsourced manufacturing
• Cost pressure
Individualization
• Individualizedproducts & services(Lotsize 1)
• Micro manufacturing/ 3D printing• Business Networks
• Omni-Channel
• Connected IoT
• Autonomousproduction & logistics
Connectivity
• Urban logistics
• On-the-fly / on-the-go culture
Mobility
• Green logistics & re/upcycling
Sustainability
Global Supply Chains are becoming more and more complex…
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New Business Models Enabled by Digital Supply Chain Industry boundaries are blurring
Consumer Product Companies
On-lineRetailers
LogisticsCompanies
Manufacturers ServiceProviders
from WHOLESALE MODEL to DIRECT-TO-CONSUMER MODEL
from SAME-DAY DELIVERY to SAME-HOUR DELIVERY
from PHYSICAL INVENTORY to DIGITAL INVENTORY
from PRODUCTS to SOLUTIONS
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The Intelligent EnterpriseThe foundation of a Digital Supply Chain
Intelligent
Technologies
Intelligent
Suite
Digital
PlatformAI
Machine Learning
Analytics
IoT
Data Management
Cloud Platform
Network & Spend
Management
People Engagement
Digital Core
Manufacturing
& Supply Chain
Customer Experience
The Intelligent Enterprise features 3 key components:
Intelligent Suite
Digital Platform
Intelligent Technologies
1
2
3
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The Intelligent EnterpriseThe foundation of a Digital Supply Chain
The Intelligent Enterprise features 3 key components:
Intelligent Suite
Digital Platform
Intelligent Technologies
1
2
3
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The Intelligent EnterpriseThe foundation of a Digital Supply Chain
8PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
The Intelligent EnterpriseThe foundation of a Digital Supply Chain
The Intelligent Enterprise features 3 key components:
Intelligent Suite
Digital Platform
Intelligent Technologies
1
2
3
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The Intelligent Enterprise Machine Learning algorythms for brand protection
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Intelligent enterprises elevate employees to focus on higher-value
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The Intelligent EnterpriseThe foundation of a Digital Supply Chain
The Intelligent Enterprise features 3 key components:
Intelligent Suite
Digital Platform
Intelligent Technologies
1
2
3
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The Intelligent EnterpriseThe foundation of a Digital Supply Chain
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The Intelligent EnterpriseThe foundation of a Digital Supply Chain (Drivers)
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The Intelligent EnterpriseThe foundation of a Digital Supply Chain
Intelligent
Technologies
Intelligent
Suite
Digital
PlatformAI
Machine Learning
Analytics
IoT
Data Management
Cloud Platform
Network & Spend
Management
People Engagement
Digital Core
Manufacturing
& Supply Chain
Customer Experience
The Intelligent Enterprise features 3 key components:
Intelligent Suite
Digital Platform
Intelligent Technologies
1
2
3
17PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Idea
Project
CAD
Engineering
Production
Service
Maintenance
As designed
As built
As maintained
Digital Supply Chain: A Product‘s Lifecycle…
Costing
Operate
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Production
ProductionSupply
Procurement
Warehouse Transport
Digital Supply Chain: A Product‘s lifecycle and the Physical Movement of Goods…
Integrated BusinessPlanning
SalesDistribution
Yard Logistic
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Idea
Project
CAD
Engineering
Production
ProductionSupply
Procurement
Warehouse Transport
Service
Maintenance
Prototyping
As designed
As built
As maintained
Digital Supply Chain: A Product‘s lifecycle and the Physical Movement of Goods in complete Integration…
Yard Logistic
Costing
Integrated BusinessPlanning
SalesDistribution
Operate
20PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Costing
Idea
Project
CAD
Engineering
Production
ProductionSupply
Procurement
Warehouse
Service
Maintenance
As designed
As built
As maintained
Digital Supply Chain: A Product‘s lifecycle and the Physical Movement of Goods in complete Integration and Networking Externally
Yard Logistic
Network ofEngagement
Network ofDigital Twins
Warehouse Transport
Integrated BusinessPlanning
SalesDistribution
Operate
Prototyping
21PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Costing
Idea
Project
CAD
Engineering
Production
ProductionSupply
Procurement
Warehouse
Service
Maintenance
As designed
As built
As maintained
Yard Logistic
Network ofEngagement
Network ofDigital Twins
Warehouse Transport
Integrated BusinessPlanning
SalesDistribution
Operate
Prototyping
Digital Core and Digital Supply Chain offer unique advantages
1Harmonized UI(Fiori/UI5)
7Integrated PrototypeManagement
6 Finite Capacity Planning
4Warehouse:• Resource Planning• Extended Warehouse Processes
3
Digital Supply Chain on a Digital Core:• Common Organization Structure• Common Master Data
9Digital Twin:• Common Master Data• One Integrated Process• One Change Management
5Transportation:• Integrated Warehouse and Transport Processes• Extended Transportation Processes
8Integrated LifecycleProduct Costing
2
Support several Biz Models in the same Supply Chain:• Make-to-stock, Make-to-Order, Design-to-Order• Project Manufacturing, Service, Retail• Discrete and Process
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The Intelligent EnterpriseThe foundation of a Digital Supply Chain
Intelligent
Technologies
Intelligent
Suite
Digital
PlatformAI
Machine Learning
Analytics
IoT
Data Management
Cloud Platform
Network & Spend
Management
People Engagement
Digital Core
Manufacturing
& Supply Chain
Customer Experience
The Intelligent Enterprise features 3 key components:
Intelligent Suite
Digital Platform
Intelligent Technologies
1
2
3
SAP`s Supply Chain Strategy
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Innovation Progress
2012
Functional, Integration, Industry-specific & Security Enhancements
Sales & Operations Planning
SAP HANA
S&OPon Premise
Strategic Planning
= On Premise = Cloud
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Innovation Progress
2013
Functional, Integration, Industry-specific & Security Enhancements
Sales & Operations Planning
SAP HANA
S&OPCloud-based, Strategic
Planning
= On Premise = Cloud
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Innovation Progress
2012 - 2013 2014 - 2016
Functional, Integration, Industry-specific & Security Enhancements
Supply Chain Control Tower
InventoryResponse& SupplyDemand
Sales & Operations
SAP HANA
Sales & Operations Planning
SAP HANA
IBPUnified Platform &
Integrated Processes
S&OPCloud-based, Strategic
Planning
= On Premise = Cloud
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Functional, Integration, Industry-specific & Security Enhancements
Future Innovation Focus
S&OPCloud-based, Strategic
Planning
2012 - 2013
IBPUnified Platform &
Integrated Processes
2014 - 2016 2018 +
Supply Chain Control Tower
InventoryResponse& SupplyDemand
Sales & Operations
SAP HANA
Sales & Operations Planning
SAP HANA
IBPBusiness Networks, Advanced Planning, Machine Learning, and Smart Extensions
= On Premise = Cloud
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SAP Advanced Planning & Optimization (APO)
Prodution Planning/ Detailed Scheduling
(PP/DS)
Global
Available-to-Promise
(gATP)
Demand Planning (DP)
Supply Network Planning
(SNP)
SAP Digital Supply Chain Planning Strategy
Supply NetworkCollaboration
Supply Chain Control Tower
InventoryResponse
& SupplyDemand
Sales & Operations Planning
SAP Integrated Business Planning
Network oriented PlanningRedesigned and innovated Processes
Ariba
Plant centric PlanningUnified Manufacturing Plan to Produce
Planning in ONE System
Finance
Human Resources
Sales
Sourcing & Procurement Manufacturing
Supply Chain
DemandResponse
& Supply AdvancedAvailable-to-Promise (AATP)
Prodution Planning/ Detailed Scheduling
(PP/DS)
= On Premise = Cloud
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SAP Digital Supply Chain Planning Strategy
Supply Chain Control Tower
InventoryResponse
& SupplyDemand
Sales & Operations Planning
SAP Integrated Business Planning
Network oriented PlanningRedesigned and innovated Processes
Ariba
Plant centric PlanningUnified Manufacturing Plan to Produce
Planning in ONE System
Finance
Human Resources
Sales
Sourcing & Procurement Manufacturing
Supply Chain
AdvancedAvailable-to-Promise (AATP)
Prodution Planning/ Detailed Scheduling
(PP/DS)
= On Premise = Cloud
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SAP Digital Supply Chain Strategy
= On Premise = Cloud
Supply Chain Control Tower
InventoryResponse
& SupplyDemand
Sales & Operations Planning
SAP Integrated Business Planning
Network oriented PlanningRedesigned and innovated Processes
Ariba
Plant centric PlanningUnified Manufacturing Plan to Deliver
Planning in ONE System
Finance
Human Resources
Sales
Sourcing & Procurement Manufacturing
Supply Chain
AdvancedAvailable-to-Promise (AATP)
Prodution Planning/ Detailed Scheduling
(PP/DS)
Extended Warehouse Management (EWM)
Transportation Management (TM)
How to work with SAP IBP?
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Why did we come up with IBP?
ERP
Creating a plan should be easy, right?
• Getting consistent data
• Orchestrate and maintain a process
• Simulate different scenarios
• State-of-the-art algorithms
• Getting decission support
• Deligate tasks
• Communicate in ONE tool
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Why did we come up with IBP?
ERPProduction
B3rd Party
ProductionA
MarketingSales
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DataExcel, Outlook,Presentations,
Meetings
Datapools
Departments
Why did we come up with IBP?
© 2018 SAP SE or an SAP affiliate company. All rights reserved. 34
ERP Production B3rd PartyProduction AMarketingSales
35PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Departments
Creating a plan is easy!
IBP
Why did we come up with IBP?
© 2018 SAP SE or an SAP affiliate company. All rights reserved. 35
ERP Production B3rd PartyProduction AMarketingSales
MS-Excel
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High LevelFunctions
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High LevelFunctions
ANALYSEFIORI Analytics
Analytics Objects
Colors
Display
Tasks
Live Refresh
Machine Learning (ML)
NEW
NEW
COLLABORATION
SAP JAM („Facebook of SAP“)
Process Flow
3 click Sharing
Excel Simulation
Share Dashboard
Supplier collaboration
SAP Co-Pilot(„WhatsApp of SAP“)
NEW
NEW
ALGORITHMSDemand Driven MRP
Order Based Planning
Optimizer
Heuristics
AdvancedForecasting Methods
Multi Echelon (Stage)Inventory Optimizer
NEW
PLANNINGComments
To-Do‘s & Workflows
Time horizons
Own Macros
Easy customizing
Alerts handling
Case & task management
NEW
NEW
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IBP Release Timeline
MayFeb Aug
On-Demand
Nov
IBP 1802 IBP 1805 IBP 1808
Note: All future planned releases dates are subject to change.
2018
IBP 1811
Feb
IBP 1902
May
IBP 1905
Next Release: SAP IBP 1811• Applied to Customer Systems November 9 to November
30, 2018• Planned Release to Hosting November 6, 2018
Primary Upgrade Window: Default Upgrade timeframe during which systems will be scheduled for upgrade.
Reschedule requests can be communicated to [email protected] or via customer support incident.
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High Level Solution Architecture of IBP
Sales/Marketing
Demand Planning
Finance
Supply Chain
Executives
ERP
CRM
BPC
APO
BW
Any other system
Files
Excel: Planning
Web
UI
sftp
|h
ttp
s
Ou
t-o
f-th
e-b
ox
or
con
figu
red
Inte
grat
ion
CP
I-D
SIBP Model & Engine
Attributes
Key Figures
Scenarios & Simulation
Predictive Analytics (ML)
Heuristics & Optimization
Inventory Algorithms
Process Workflow
Alerts
Social Collaboration (SAP JAM)
UI5: Analysis
JAM: Collaboration
S/4HANAIBP
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SAP IBPComponents
Sales & Operations Planning
Supply Chain Control Tower
Demand Response & Supply
Inventory
SAP HANA Platform
IBP
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Sales & Operations Planning
- Deliver a cross departmental sales and operations plan balancing the impact on inventory, service levels and profitability- Create the optimal business plan to drive revenue growth and increase market share- Effectively balance demand and supply and attain financial targets- Increase speed and agility of planning and drive most profitable responses- Improve forecast accuracy and on-time delivery
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Selected Machine Learning (ML) Use Cases in IBP
Future / Research Phase
PoC with Customer Data
ML supporting
New Product Introduction
Automatic Exception
Handling &intelligent Decision
Support (DSC)
Flexible determina-
tion of Master Data using ML, e.g. lead times
Additional ML forecasting algorithms,
e.g. Gradient Boosting
Planned with IBP 1811
Available
Demand Sensing
Pattern Recognition
Use ML to analyse
segmen-tationgroups
Machine Learning Customer Workgroup Established in January 2018
This is the current state of planning and may be changed by SAP at any time.
Product direction
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What does IBP for inventory accomplish for the end-to-end supply chain?
90% 92% 94% 96% 98% 100%
Inve
nto
ry (
$)
Customer Service Level (%)
Optimal inventory Company current performance
Achieve the Right Balance Between Service Levels and Inventory Investment
-60%
-40%
-20%
0%
20%
40%
60%
De
cre
ase
Incr
eas
e
Fix the Mix of Inventory!
How much inventory here?
Here? How about here?
Consequence (if inventory management fails):
▪ Too much inventory Finance
▪ Not enough inventory Customer
▪ Right inventory, wrong place SC planners
44PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SUP 302
SUP 301Customer 1
MFG 2011
A
A Product Capacity Resource 1 Material
Sourcing Ratio& Lead Times
Customer 2
A
Customer 3
A
DC 101
A
DC 102
A
Demand- Forecast or Orders
On-Hand/Target Inventory
Location
Capacity LimitRequired /
Available Supply
4
A
1
2
3
4
5
4
5
Multi-level BOM
Production Source
MFG 202
A
1
6
3
4
5Multi-level BOM
Sourcing Ratio& Lead Times
On-Hand/Target Inventory
Sourcing Ratio& Lead Times
Multi Level Supply Chain Example
▪ Ability to model multiple tiers of the supply chain network including: Customers, DC’s, Plants, and Suppliers
▪ Ability to model multiple level BOM’s as a constraint
▪ Capable of planning for distribution, production, and procurement
Integrated Business Planning for Response & Supply
45PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
IBP Operational (Response & Supply) Order Based Planning Process
Main processes supported:
Supply & Allocations Planning: Create allocations and a supply plan based on prioritized forecast demands and supply chain constraints
Response Planning: Create order confirmations and an adopted supply plan based prioritized demands, allocations and supply chain constraints
Deployment Planning: Create a deployment plan, adjust other supply proposals and order confirmations based upon prioritized demands, allocations, supply chain constraints, and deployment settings
Processes work on tightly integrated information from S/4HANA- or an ERP-System, and allow for root-cause analysis and simulation of plans
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Comparison of Response Management to SAP Advanced Planning and Optimization (APO)
SAP APO
Backorder Processing
Demand Planning
Production Planning
Supply Network Planning
Global Available-to-Promise
Capable-to-Match
(CTM)
Response Management
=
+
+ Unified priorities
+ Fast simulation
+ Visibility and analytics
+ Root cause analysis
+ Integration to ERP
Capable-to-Match
(CTM)
Backorder Processing
IBP Operational (Response & Supply) Order Based Planning Process
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Look & Feel
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How can you work with IBP?
IBPAddin
+
Dashboards/Configure Data
Key Figures, Reason Codes,Collaborate, Dashboards, Analytics, Alerts, Configure, Import Data, Define
Processes,Tasks, Cases
Edit Data/Simulate
Data Input, What-IF Scenarios, Unified Environment, Single Source of Truth, Real-Time Aggregation & Disaggregation, Easy Data Drill Down, Share Views, Use your own Macros
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How can you work with IBP?
Getting an Overview & AnalyzeTake advantage of powerful supply chain analytics, rich User Interfaces and much more.
Taking ActionSet up your planning framework, settings and models to combine sales forecasts, inventory targets, supply plans, and financial plans into a single operational plan.
Working togetherHarness social collaboration capabilities to accelerate planning and decision making.
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Getting an Overview & AnalyzeTake advantage of powerful supply chain analytics, rich User Interfaces and much more.
FIORI
Launchpad
Dive into IBP with your own role-based FIORI Launchpad. On anyof your devices.
FIORI ANALYTICS
Dashboards
Leverage the power of built-in Analytics. Access data in real time to slice and diceimportant KPI‘s.
FIORI ANALYTICS
Build Your Own
Building your own Analytics is easy. Create stunning analytics within secondsbased on real time data.
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EXCEL
Planning Area
Include Master Data Attributes, PlanningLevels and Key Figures.For example: Product, Region, …
Set up your planning framework, settings and models to combine sales forecasts,inventory targets, supply plans, and financial plans into a single operational plan.
Excel
What If Scenarios
Gain deep insight into your data by setting up different scenarios to play around with your data.
EXCEL
Aggregate/Disaggregate
Easily Explore different planning levelswith one click. Share your insights withco-workers.
Taking Action
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Harness social collaboration capabilities to accelerate planning and decision making
FIORI
Collaborate Anywhere
Share knowledge, ideas, data, tasks andmuch more in one single platform. PC & mobile.
EXCEL
Take Decisions Together
Easily share decisions taken directlyfrom the planning view while savingyour data.
Working together
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Harness social collaboration capabilities to accelerate planning and decision making
Working together
Demand Driven MRP in S/4HANA & IBP
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MotivationDDMRP Philosophy (as defined by the Demand Driven Institute)
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The DDMRP methodology consists of five major building blocks
Strategic decouplingBuffer profiles and
levelsDemand-driven
planning
Position
1Protect
2 3Pull
4 5
Dynamic adjustmentsVisible and
collaborative execution
Modeling/re-modeling the environment Plan Execute
Source : Demand Driven Institute.
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SAP Demand-Driven ReplenishmentEnd-to-End Processflow in S/4HANA
4Replenishment
Execution
1
Buffer Positioning(Strategic)
Individualized
DD w/ Buffer
intermediate
3
ReplenishmentPlanning
MaterialStock/
Stock Level
Stock+
Ordered
Proposed
order qty
FIO-NAV-0815 3 13 30
FIO-PST-1501 6 16 15
FIO-MST-3006 55 135 0
FIO-PRD-0807 22 56 0
FIO-NAV-0101 23 23 127
FIO-NAV-0404 44 44 26
FIO-MST-0821 25 25 0
FIO-PRD-0822 88 88 0
5
Lead Times
Average Daily Usage
Classifikation
Analytics(incl. Bias for Feedback)
2Buffer Level Management
(Operational)
LT Var(LT)
Safetystock
Reorder Pt.
t
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SAP Demand-Driven Replenishment Solution Overview
Fiori Launchpad
1 1 25
Classify products …
to support identificationof possible decouplingpoints and
to prepare buffer profile assignment
Position buffers on level of product plant combination
by maintaining MRP type = D1
Calculate decoupled leadtime and LT classification
to prepare buffer calculation
Calculate buffer level proposals
for manual (and automated) adoption
Configuration & Setup Apps
2 3 4
Review and adopt the system’s buffer level proposals
Review the currentplanning situation
based on the net flow position
Review the currentexecution situation
based on the on-hand stock status
Mapping to the End-to-End Process
Business Applications with User Interaction
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DDMRP - Based on SAP Cloud Platform and IBP
Demand Driven MRP for IBP v1IBP + Camelot SAP Cloud Platform DDMRP extension + Camelot Configuration
• Extends SAP IBP with SAP Cloud Platform “microservice”
• Integrates seamlessly into SAP IBP
• Can be flexibly connected to SAP ECC and S/4 HANA (using released existing standard interfaces)
• Enables customers to start DDMRP today with SAP
• Full compliance and certification with SAP and DDI
• Available now
• Requires IBP for inventory
– plus
– Camelot DDMRP extension in SAP Cloud Platform
– plus
– Camelot “RDS” one-time services fee
– Plus
– Camelot implementation services, as required
Using Camelot SAP Cloud Platform for step 1 & 2
Five components of DDMRP *
Leveraging SAP IBP (via Camelot configuration) for step 3-5
Leveraging Camelot ERP add-on for step 5
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DDMRP for SAP IBP integrates with SAP ERP/scheduling systems
CP
I-D
S
SAP ECC
SAP APO
SAP S/4HANA
ERP master data + transactional data
DDMRP config. & data extension
MRP run
Detailedscheduling
Order execution
DDMRP config. &MRP extension
IBP S&OP
Supply Chain Control Tower
IBP Demand
IBP Supply & Response
IBP Inventory
SAP IBP
SAP Cloud Platform“DDMRP for SAP IBP”
enhancementas an SAP IBP Microservice
(based on SAP SCP and Fiori UI)
SAP HANA & IBP data model
“DDMRP for SAP IBP” configuration
as Rapid Deployment Solution (RDS)
CPI-DS = Cloud Platform Integration - Data Service Time Series - Based Integration
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Financial Planning
Supply Chain
Sales
Procurement
Manufacturing
Marketing
PLAN / Network PRODUCE & FULFILL / Plant
Demand Review
Sales Budget and P&L Planning
SupplyReview
S&OP ReviewInventory
Financial Forecast & Reporting
ProductionExecution
IBP PPDS BPC TPMAriba SCC S/4HANA
Production Planning
Production Scheduling
Customer Collaboration * (VMI)
Supplier Collaboration
NPI Planning
Procurement Execution
Promotion Planning
PO Collaboration
E2E Business Process Flow and Touchpoints
Sales Forecasting
Budget/AOP
Financial Forecast Adjustments
Planned Trade Promotion
Planned New Product Introductions
Supplier Forecast Commit
Unconstrained Demand
Sales Forecast
Budget/AOP
PR
PO
Production Receipt
Goods Receipt
Planned Order
PrOdPrOd
Sales Budget
Sales History
Demand, Replenishment Plan
Sales OrderFulfillment
Material Requirements Planning
S&OP Plan Available-to-promise
Transport management
Warehouse operations
STR
Confirmed order
IBP = Integrated Business PlanningPP/DS = Production Planning / Detailed SchedulingAriba SCC = Supply Chain CollaborationBPC = Business Planning & ConsolidationTPM = Trade Promotion Management
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Financial Planning
Supply Chain
Sales
Procurement
Manufacturing
Marketing
PLAN / Network PRODUCE & FULFILL / Plant
Demand Review
Sales Budget and P&L Planning
SupplyReview
S&OP ReviewInventory
Financial Forecast & Reporting
ProductionExecution
Production Planning
Production Scheduling
Customer Collaboration * (VMI)
Supplier Collaboration
NPI Planning
Procurement Execution
Promotion Planning
PO Collaboration
E2E Business Process Flow and Touchpoints
Sales Forecasting
Budget/AOP
Financial Forecast Adjustments
Planned Trade Promotion
Planned New Product Introductions
Supplier Forecast Commit
Unconstrained Demand
Sales Forecast
Budget/AOP
PR
PO
Production Receipt
Goods Receipt
Planned Order
PrOdPrOd
Sales Budget
Sales History
Demand, Replenishment Plan
Sales OrderFulfillment
Material Requirements Planning
S&OP Plan Available-to-promise
Transport management
Warehouse operations
STR
Confirmed order
Order based planning
IBP PPDS BPC TPMAriba SCC S/4HANA
IBP = Integrated Business PlanningPP/DS = Production Planning / Detailed SchedulingAriba SCC = Supply Chain CollaborationBPC = Business Planning & ConsolidationTPM = Trade Promotion Management
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As-Is SituationToday
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Sales PlanningExcel
SOP Planning in ERPMC94
Capacity AnalyticsBW & Excel
Capacity AnalyticsQlikView
Capacity Analytics GraphicallyBW & Excel
Capacity Usage reportSAP ECC
Work Schedules in ERPCA02/03
Demand Planning in APOSAPAPO/DP
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73PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Should-Be Situation
Today
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High Tech
Life Sciences
Chemicals
Mill Products & Mining
Services
Auto
Manufacturing
(OK to present to customers; DO NOT email or provide hardcopies externally)
Updated August 2018
Distribution/ Retail
Consumer Products
Customers running IBP per Industry
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SAP IBP Starter Edition
https://www.sapstore.com/solutions/60032/SAP-Integrated-Business-Planning-starter-edition,-non-production
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Roadmaps
https://www.sap.com/germany/products/roadmaps.html
77PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Info: SAP-Infotag Lager- und Transportmanagement 2018
https://events.sap.com/de-infotag-lager-transport-18/de/home
78PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Ort:
Rosengarten
in Mannheim
19.3.Wann?:
19. März 2019
Vorankündigung: SAP-Infotag SCM-Planung 2019