Digital Product Lifecycle Management –
SAP’s Strategy & Road Map
Dr. Juergen Weiner - SVP S/4HANA Idea – LoB R&D/Engineering, SAP SE
St. Leon-Rot 16. April 2019
PUBLIC
Agenda
•
SAP Strategy Intelligent Enterprise
•
SAP Strategy R&D/Engineering
•
Highlights
•
•
Demo Design Collaboration combined with CAD Integration
•
Demo Advanced Variant Configuration with C/4HANA CPQ Integration
•
Demo Document Management with embedded Machine Learning
Wrap-up / Closing
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SAP Strategy Intelligent Enterprise
The Digital Era is evolving into The Intelligence Era
Mainframe & PCs
Client Server & Internet
Cloud, Mobile & Big Data
1960s – 1980s
1990s - 2000s
2000s - 2010s
Intelligent Technologies
2010s - 2020s
ENABLING TECHNOLOGIES
• Transistors & silicon
revolution
• Large scale Mainframe
Computing adoption
• Emergence of PC’s
• Plant floor automation
• Widespread PC adoption
• Broadband Internet
• ERP and business
process technologies
Industrial
Automation
Business Process
Automation
• Mobile & Smartphone
ubiquity
• Cloud Computing
• Social Networks
• Big Data
• Machine learning (ML) and
artificial intelligence (AI)
• Internet of things (IoT) and
distributed computing
• Blockchain
CUSTOMER VALUE CREATION
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Digital
Transformation
Intelligent
Enterprise
5
Intelligent enterprises elevate employees to focus on higher-value tasks
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Next practices driven by an Intelligent Enterprise
Capabilities
Visibility
Focus
Agility
The ability to collect and
connect data that was
previously siloed and to
recognize unseen patterns
The ability to simulate the
impact of potential options
and direct scarce resources
to the areas of maximum
impact
The ability to respond faster to
changes in the marketplace or
the business and to pivot
business processes toward the
right customer outcomes
Outcomes
Redefine the end-to-end
customer experience
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Deliver a step change
in productivity
Transform workforce
engagement
7
SAP Strategy – Deliver the Intelligent Enterprise
THE INTELLIGENT ENTERPRISE
features 3 KEY COMPONENTS:
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1
Intelligent Suite
2
Digital Platform
3
Intelligent Technologies
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SAP Strategy R&D/Engineering
LoB R&D/Engineering
Portfolio & Project
Management
Optimize capital investment, IT and
R&D project strategy and execution
Product Engineering &
Development
Enable integrated R&D processes
across all LOBs with consistent product
data for discrete and process
industries
Efficiency
Personalization
Smart products
Manage, track and handle
all dimensions of your
Portfolio and Projects
effectively
Enabling entire Digital
Configuration Life
Cycle from consumer
to manufacturer,
Manage complex
products with
embedded systems
approach building
the foundation for
the digital twin
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Intelligent Product Design
Collaborate with all stakeholders,
suppliers and outsource partners for
fastest innovation cycles
Consistent
collaboration
Integrated
Requirements
Collaborate real time
on product data that is
consistent across
extended enterprise
Capture customer
requirements that are
integrated with
product data ensuring
impact and traceability
10
SAP’s overall aim for R&D / Engineering in discrete industries
Differentiate by using design data beyond engineering to simulate the business impact of product development
on costs, supply chain, procurement, manufacturing, and service to enable fast decision making
Strategic Direction
Develop an integrated, scalable, and modular PLM
suite with a beautiful end-user experience for all
industries
Embed Intelligence & Innovation in every solution
Differentiate by using design data beyond
engineering
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1
2
3
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Design business process with SAP PLM
Idea / Requirements
Early Engineering
Detailed Design
Prototyping
Production
Service
Portfolio and Project Management
IPD - Collaboration
Early Product Costing
3D-Visualisation
Document Management
Systems
Engineering
Systems
Engineering
Requirement
Model
Functional
Model
Logical
Model
Enterprise
Product Structure
Manufacturing, Procurement & Supply
Chain
Service & Maintain
Real Time Strategy &
Planning
Plant 001
Location Model
Team Data Management
System
Model
Plant 002
Authoring-Tools
Software
Electronics Mechanics
Folder,
Document,
Material &
E-BOM
Statistical Model
Sensor &
Diagnostics
SAP Engineering Control Center
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Design Collaboration & CAD Integration
Collaboration with S/4HANA Cloud for Intelligent Product Design
Idea / Requirements
Early Engineering
Detailed Design
Prototyping
Production
Service
Accomplish multi discipline collaboration, on
actual product data with internal & external partners
Achieve full traceability and transparency by
linking requirements to product & business data
Achieve transparency & efficiency in collaboration
with robust workflows that ensures all relevant
stakeholders are appropriately informed & have
access to right product data
Derive better insights from downstream processes
& product usage and improve business
relationships
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MRP
14
Demo: Design Collaboration with SAP Engineering Control Center and
S/4HANA Cloud for intelligent product design
A product change requires that a supplier (design partner) adjusts his design
S
Manufacturer
CAD Engineer
Opens ECTR and
selects assembly for
Design Partner
Selects IPD Folder in
ECTR and shares
design data
Add Redlining to 3D
Design
Informs supplier
through workflow
Outsourced design is updated by partner
Design Partner
CAD Engineer
Receives task through
email and accesses
IPD Collaboration
Makes necessary
changes in CAD (with
or without ECTR)
Downloads CAD files
Uploads changed files to
IPD Collaboration
Informs
Manufacturer’s CAD
Engineer through
workflow
Reconciles overall design with design change done by partner
Manufacturer
CAD Engineer
Uploads changed
CAD Files into
ECTR
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Reviews Changes in
ECTR and updates
CAD design
E
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Demo: Share changed BOM information to Co-Manufacturer through
S/4HANA Cloud for intelligent product design with BOM redlining
S
Starts collaboration
Import BOM into
Collaboration
Partner
Manufacturing
Engineer
Log in into
collaboration
Views BOM
BOM Engineer
Reviews
Redlining
BOM Engineer
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Creates Work
Item on BOM
Adds Redlining
Information as a proposal
Imports BOM into the
Collaboration
E
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S/4HANA Cloud for intelligent product design – Main Roadmap Items
Start of production
Idea / Requirements
Early Engineering
Detailed Design
Prototyping
Production
Service
Requirements Acquisition
Requirement-driven Development
Handover2Service
Systems Engineering
Test Management
Design Collaboration with unstructured data
Collaboration with Structured Data for Process Industries
Change Management (Impact Evaluation and Coordination)
Product maturity
Engineering or design bill of materials
Manufacturing bill of materials
Unstructured data
Structured product data evolving over time
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Time17
SAP S/4HANA Cloud for Intelligent Product Design Integration with
Qualtrics
Closing the Loop - Enhance the Requirements Driven Development Process
Customer Feedback
Release Product
to Market
Handover to
Manufacture
Manage Enterprise Product Structure
Configurable
Product Structure
Requirements Collection
Non-Configurable
Bill of Material
Product Structure
Modeling product
Innovate
Based on SAP IPD
Define R&D Requirements
Classify
Requirements augmented by ML
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Analyze
Requirements
Available - SAP IPD
System Modeling
Available - SAP IPD
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Starting from the Cockpit – Launch the Business Impact Simulation
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UX CONCEPT PREVIEW
19
Business Impact Simulation via 3D Product
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LAB PREVIEW
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Advanced Variant Configuration & C/4-Integration
Product Development and Configuration – Advanced Variant Configuration
Idea / Requirements
Early Engineering
Detailed Design
Prototyping
Production
Service
Efficient product configuration modeling and
execution of sales order entry
Ensured data accuracy, consistency and
availability for complex product management needs
Coordination and collaboration between
all product development stakeholders
Business transparency and analytics for
configurable products
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MRP
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Demo: Configure in commerce, quote in CPQ and process order in S/4HANA
S
Product Configuration
Modeler
Release variant
configuration model
Maintain variant
configuration model
Test variant
configuration model
Select and configure
product in ecommerce store
Ask for
quote
Review
quote
Review and adjust
configuration & price
Finalize
quote
Issue
order
End Customer
Sales Representative
Monitor automated
order processing
Confirm
Deliver
Issue
goods
Send bill
E
Order Processor
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Seamless integration from front-office to back-office configuration …
SAP C/4HANA
Commerce
on premise
Commerce
Cloud
Sales
Cloud
Customer
Application
SAP CPQ
Partner
Application
SAP API Business Hub
Product Configuration Intelligence
Intelligent Product
Budgetary
Selection
Price Estimate
Cloud Platform
Product Configuration
Guided Product
Configuration
Machine
Learning
Cloud Configuration Cloud Pricing
Engine
Engine
Analytics
IoT
Seamless Integration
One Configuration Model
(Advanced) Variant Configuration
S/4HANA
ERP
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Engineering
Order Mgmt.
Procurement
Manufacturing
Digital Twin
Service
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Intelligent Enterprise for Customer Engagement (MTO)
Scenario in Focus – Lead to Cash
Budgetary Price Estimation vs Detailed Quote
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Before: Budgetary Price Estimation the Hard Way
Customer must define numerous
technical attributes and options
Numerous cycles of clarification
of technical requirements
Hundreds of options
A time consuming
iterative process
No quick what-if analysis
Option 1
Option 2
Option 3
Option 4
Orders lost to
agile competition
Option 5
Option 6
Option 7
Option 1
Option 2
Option 3
Option 4
Option 5
Option 6
Option 7
Option 1
Option 2
Option 3
Option 4
Highly skilled engineers
and tech support and sales
review complex rules and
compatibilities for working
solution and price
Option 5
Option 6
Option 7
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Deep training and
experience required
80-90% wasted effort
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After: Estimation Process with SAP Product Configuration Intelligence
Machine Learning based
Determination
of Price Relevant Attributes
Intelligent Determination
of Customer Needs
Real Time Budgetary
Price Estimation
Fewer lost orders
What are the few
key questions that drive
the functional and
technical attributes?
Speed, Size, Type
(rather than all questions)
Co-Innovation
Customer
Quotes
Sales Rep & customer can
work together quickly refining the
details without delays
Less training required
for sales rep
Budgetary Estimate in minutes
enables rapid what-if analysis
“In the past it would take 2-5 days of time for highly
skilled engineers to generate a budgetary estimate.
We now plan do this in minutes”
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Minimal wasted effort
“We have partnered with SAP to unlock the value of
machine learning in making the process simpler and
less resource intensive”
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Intelligent Product Selection & Budgetary Estimation
Design Time


Key Attribute
Determination
Product Selection Model
Maintenance
Product Selection
Model Training & Scoring
Data Analyst
Product Manager
Run Time

Data Collection &
Preparation
Select Options
(key attributes)
Product/Machine
Model Prediction
Budgetary Price
Estimation
Predicted products
with estimated range
Create Budgetary
Estimation Quote
Sales Rep
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Enhanced Machine-learning-based auto-classification of Document Master
Increase operational efficiency through advanced classification of business objects
New Capabilities:
•
Enhanced Machine-learning-based autoclassification of Document Master via SAP
Fiori UI supporting proposals for several
characteristics
•
Enabling basic functionality of class hierarchies
•
Reusable oData version 2 service to create,
change, and delete classifications of
corresponding objects, enabling integration
with third parties.
*) oDATA services are Open Data Protocol Services for data access
between compatible software systems
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Wrap-up / Closing
Agenda April 17th – Track 1 & Track 2
Track 2: SAP Enterprise Portfolio & Project Management &
Advanced Variant Configuration
Track 1: Product Lifecycle Management for Discrete Industries
Welcome & Overview
09:00am - 09:30am
09:45am - 10:30am
Unlock new and unexplored doors with the key to your digital twin
- SAP Engineering Control Center
Gerhard
Himmelsbach
Combine project management contradictions:
Agile under the waterfall
Volker Faisst
10:45am - 11:30am
The backbone of your product with
Enterprise Product Structure by SAP
Jochen Schrempf
All you need to know about
SAP Enterprise Portfolio and Project Management
on OnPremise and Cloud
Renato Zadro
11:45am - 12:30pm
Manage complexity and bring all disciplines together with
Systems Engineering when driving New Product Development
Carsten DietzeSelent
The way intelligent technologies and machine learning help
companies in PLM to become an intelligent enterprise
Petra Meyer
Lunch
12:30pm - 02:00 pm
02:00pm - 02:45pm
In the world of mechatronics:
How does one deal with software?
Johann Dornbach
Boost your knowledge on the integration of
Advanced Variant Configuration to
C/4HANA Configure, Price and Quote (CPQ) and Commerce
Karlheinz Agsteiner
Break
02:45pm - 03:15pm
03:15pm - 04:00pm
Build configurable mechatronic products with
SAP Intelligent Product Design and
S/4HANA Advanced Variant Configuration
Jens Griessmann
The vision for the intelligent enterprise, driving value creation
by providing a seamless digital thread between
Engineering and Industrial Asset Management
04:15pm - 04:45pm
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Steffen Horndacher
Wrap Up
32
Agenda April 17th – Track 3 & Track 4
Track 3: Cross Topics
Track 4: Product Insights & Roadmaps
Welcome & Overview
09:00am - 9:30am
09:45am - 10:30am
Simulative cost planning for a single product up
to the complete portfolio
Petra Koepfer-Behncke &
Dirk Loeffelbein
The game plan for
Enterprise Content Management
Markus Pipp &
Victor Wündisch
10:45am - 11:30am
Design to Cost
SAP Product Lifecycle Costing –
Highlights, Roadmap, New Cloud Edition
Julian Mayer &
Katarzyna Maciak
Gather all you need to know on
SAP’s Digital Configuration Lifecycle
Isabel Kremers
11:45am - 12:30pm
Manage intelligent products from design to asset
operations in a close loop
Attila Sellyei &
Jochen Steinbach
Learn how you can start your PLM cloud journey
with SAP S/4HANA
Bianca Duse
Experience a digital twin in virtual reality
Michael Spiess
Special Guests: Trinckle 3D Printing
Automate your CAD designing: Let algorithms do the work
for you – SAP Engineering Control Center
Florian Reichle
(CEO Trinckle)
Lunch
12:30pm - 02:00pm
02:00pm - 02:45pm
Gain knowledge on supplier collaboration with SAP and
how it can benefit your supply chain management
Coffee Break
02:45pm - 03:15pm
03:15pm - 04:00pm
Vinay V
How to handle change with collaboration across your
extended supply chain?
04:15pm - 04:45pm
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Robert Anderegg
& Carsten Dietze-Selent
Wrap up
33
3 Takeaways
1
SAP offers an integrated, scalable, and modular PLM suite
2
Intelligence & Innovation is embedded in every solution
3
Think big – start small – scale fast
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34
Thank You.
Contact information:
Dr. Juergen Weiner
SVP S/4HANA Idea – LoB R&D/Engineering, SAP SE
Email: juergen.weiner@sap.com