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Driving the Digital Enterprise
and realizing the Digital TwinRené Wolf, Siemens PLM – Dan Hoz, Mentor
siemens.com© Siemens AG 2017
© Siemens AG 2017
April 2017Page 2 siemens.com
© Siemens AG 2017
April 2017Page 3 siemens.com
Siemens continuously invests in the future
…which is increasingly Digital
1958
1958 - Start of production automation: Siemens receives the patent for SIMATIC
1996 - Totally Integrated Automation (TIA) enables inter-operability between all automation components
1995/96 2001 2008 2009
2009 - TIA Portal provides access to all automation tasks
2012 2014
2013 - Siemens is currently the only company whose technologies combine the real and the virtual production world under one roof
2007
2011
2012
2013
$10+ billion in investmentssince 2007
Production engineering and execution(Siemens Automation)
Product development(Siemens PLM)
2016
2015 / 16 - Siemens establishes leadership in product and process simulation to enable full digitalization
© Siemens AG 2017
April 2017Page 4 siemens.com
ME
CH
AN
ICA
LE
LE
CT
RO
NIC
Digital Manufacturing Flow for Electronics
Future vision: Consolidated digital flow
© Siemens AG 2017
April 2017Page 5 siemens.com
Electronics Industry
Trends and Challenges in the Manufacturing Execution
Shorter Product Life-Cycle
Speed up Indus-
trialization
Better product
quality
Reduce
production’s
costs
$
Market Trends
• Growing and
diversifying market
• Shorter Product Life-Cycles &
increasing frequency of new
innovations
• Cost and quality pressures
• Emerging technologies, production
processes, miniaturization
• Personalized products
• Regulations and compliance
industry driven at regional and global
level
• Outsourcing and globalization
of supply chain
• Industry 4.0, Internet of Things
To be early in
new markets
Standardized process
from design to
production
Flexible usage
of production
equipment
“Right the First
Time”
Fast Access to
product and
production data
Single device and
multi-level traceability
requirements
Fulfil
regulations and
compliance
Management of multi-
site supply chains
Online
Production
visibility
Multi plant data
and material
logistics
“Right the First
Time”
Reduced NPI
Cycle time
Challenges
© Siemens AG 2017
April 2017Page 6 siemens.com
The business value of the Digital Twin
Focus on Manufacturing Process and Production System
Digital Twin of the
Product
Digital Twin of the
Manufacturing
Process & Production
System
Digital Twin of the
Production &
Performance
Digital Twin of the
Product
Digital Twin of the
Manufacturing
Process & Production
System
Both Box build
and PCB
assembly
processes are
defined,
simulated and
validated
together
© Siemens AG 2017
April 2017Page 7 siemens.com
Production execution
Efficient
and secure
production
with TIA
SIMATIC, SINUMERIK,
SIMOTION, SIMOTICS,
SINAMICS and SIRIUS
1 2 3 4 5
© Siemens AG 2017
April 2017Page 8 siemens.com
Production execution
Advanced
Planning and
Scheduling
of manufacturing
operations in one
tool
Camstar Scheduling
1 2 3 4 5
© Siemens AG 2017
April 2017Page 9 siemens.com
Production execution
Import of BOM
/ BOP from
Teamcenter,
define
Workflow and
Dispatch Order
Camstar
1 2 3 4 5
© Siemens AG 2017
April 2017Page 10 siemens.com
Production execution
Run Manual
Assembly
Operation and
escalate
deviations to
Teamcenter
Camstar
1 2 3 4 5
© Siemens AG 2017
April 2017Page 11 siemens.com
Production execution
Run inspection
operations and
manage issue
for high quality
products
Camstar
1 2 3 4 5
© Siemens AG 2017
April 2017Page 12 siemens.com
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ME
CH
AN
ICA
LE
LE
CT
RO
NIC
Digitalize the Entire Electronics Manufacturing Process
Leverage Digital Twins of the Product, Process and Production
to ensure continuous, optimized, high-quality process
10101011010110011011010010
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Dan
© Siemens AG 2017
April 2017Page 13 siemens.com
10101011010110011011010010
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101010110101110101011010011011010010 00110110100
EL
EC
TR
ON
IC
Digitalize the Entire Electronics Manufacturing Process
10101011010110011011010010
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10101011010110011011010010
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“Can I
Manufacture It?”
One tool running 950
Fabrication, Assembly,
Test and Reliability
checks
Intelligent hand-off
to manufacturing via
ODB++
“How to
Manufacture it?”
One tool covering all
manufacturing
engineering tasks,
creating the Digital
Twin of the Process
and production
system
“How Can I Do This
Better?”
© Siemens AG 2017
April 2017Page 14 siemens.com
▪ Plug & Play data acquisition
and control
▪ Create a Digital Twin of
the Production
PCB assembly data acquisition
1 2 3 4 5
© Siemens AG 2017
April 2017Page 15 siemens.com
▪ Plug & Play data acquisition
and control
▪ Create a Digital Twin of
the Production
▪ Real-time manufacturing data
available to Enterprise Apps
▪ MES Agnostic
PCB assembly data acquisition
1 2 3 4 5SMT ICT, MANUAL INSPECTION, AUTO-TEST SYS. ASSEMBLY, SHIPPING
ERP/SCM ANALYTICS PLM MINDSPHERE MES
CAMSTAR
SIMATIC
3RD PARTY
© Siemens AG 2017
April 2017Page 16 siemens.com
▪ Plug & Play data acquisition
and control
▪ Create a Digital Twin of
the Production
▪ Real-time manufacturing data
available to Enterprise Apps
▪ MES Agnostic
PCB assembly data acquisition
1 2 3 4 5SMT ICT, MANUAL INSPECTION, AUTO-TEST SYS. ASSEMBLY, SHIPPING
ANALYTICS MINDSPHERE MES
CAMSTAR
SIMATIC
3RD PARTY
ERP/SCM PLM
✓ Maintain ERP inventory accuracy
✓ Enable accurate MRP ordering & planning
✓ Optimize material usage for
better material turnover
✓ Remove excess material WIP
from the shop-floor
PREDICTIVE MATERIAL FLOW PLANNING
© Siemens AG 2017
April 2017Page 17 siemens.com
MINDSPHERE MESPLM
▪ Analytics as a competitive
advantage
PCB assembly data acquisition
1 2 3 4 5SMT ICT, MANUAL INSPECTION, AUTO-TEST SYS. ASSEMBLY, SHIPPING
CAMSTAR
SIMATIC
3RD PARTY
ERP/SCM ANALYTICS
© Siemens AG 2017
April 2017Page 18 siemens.com
▪ Analytics as a competitive
advantage
PCB assembly data acquisition
1 2 3 4 5
Valor IoT
Dashboards
What happened?
Descriptive Analytics
HINDSIGHT
© Siemens AG 2017
April 2017Page 19 siemens.com
▪ Analytics as a competitive
advantage
PCB assembly data acquisition
1 2 3 4 5 Why did it happen?
Diagnostic Analytics
Analytics Engine
Valor IoT
Dashboards
What happened?
Descriptive Analytics
HINDSIGHT
INSIGHT
Multiple issues affecting
few Assemblies
Few issues affecting
multiple Assemblies
© Siemens AG 2017
April 2017Page 20 siemens.com
▪ Analytics as a competitive
advantage
▪ Yield / quality / cost feedback
to Design and Engineering –
drive product and process
improvement
PCB assembly data acquisition
1 2 3 4 5
Example: Provide yield / quality / cost feedback to design
What will happen?
Predictive Analytics
Why did it happen?
Diagnostic Analytics
Analytics Engine
Valor IoT
Dashboards
What happened?
Descriptive Analytics
HINDSIGHT
INSIGHT
FORESIGHT
© Siemens AG 2017
April 2017Page 21 siemens.com
Example: Optimize material flow for improved material turnover
How can we make it happen?
Prescriptive Analytics
▪ Analytics as a competitive
advantage
▪ Yield / quality / cost feedback
to Design and Engineering –
drive product and process
improvement
▪ Deep learning technologies
and regression techniques
to identify data correlation
PCB assembly data acquisition
1 2 3 4 5
Example: Provide yield / quality / cost feedback to design
What will happen?
Predictive Analytics
Why did it happen?
Diagnostic Analytics
Analytics Engine
Valor IoT
Dashboards
What happened?
Descriptive Analytics
HINDSIGHT
INSIGHT
FORESIGHT
© Siemens AG 2017
April 2017Page 22 siemens.com
▪ Analytics as a competitive
advantage
▪ Yield / quality / cost feedback
to Design and Engineering –
drive product and process
improvement
▪ Deep learning technologies
and regression techniques
to identify data correlation
$3.93
$3.91
$0.05
$0.09
$3.98
$4.00$2,000per each 100K units
Average site (5 lines) places 50
Million components per month
PCB assembly data and analytics
Advanced Analytics is around the corner…
1 2 3 4 5
© Siemens AG 2017
April 2017Page 23 siemens.com
DIGITAL TWIN OF THE
PRODUCT
DIGITAL TWIN OF THE
MANUFACTURING
PROCESS &
PRODUCTION SYSTEM
DIGITAL TWIN OF THE
PRODUCTION
Digitalization of PCB Assembly is the Key to
Industry 4.0 Enablement in Electronics
© Siemens AG 2017
April 2017Page 24 siemens.com
Close Loop Digital Twin
Let your
products and
your production
speak to you
MindSphere –
the cloud-based, open
IoT operating system
1 2 3 4 5
MindSphere
© Siemens AG 2017
April 2017Page 25 siemens.com
• Common NPI process,
Improve productivity and
throughput
• Standardized shop floor
documentation
• Full Traceability for Electronic
PCB and Box
• Powerful online Reporting
• Offer integrated NPI and MES,
WIP, Quality, traceability,
Repair, Reporting
Speed in product innovation:
New Product Introduction and MES in Electronics
• Shorter time to market
• Increase production uptime,
throughput and quality
• Provide standardized shop floor
documentation
• Provide Online Process Visibility
and control
• Fulfil Traceability and legal
requirements
• Increase manufacturing
effectiveness, best practices
BenefitsIndustry needs
© Siemens AG 2017
April 2017Page 26 siemens.com
Closing the Loop – The Digital Twin in the Electronic Industry
Digital Twin of the
Product
Digital Twin of the
Manufacturing
Process & Production
System
Digital Twin of the
Production &
Performance
Digital Twin of the
Product
Digital Twin of the
Manufacturing
Process & Production
System
Digital Twin of the
Production &
Performance
feed back insights to continuously optimize product and production
MindSphere
© Siemens AG 2017
April 2017Page 27 siemens.com
Video scribble:
Closed Loop Manufacturing and QualityClosed Loop
Manufacturing
Closed Loop
Quality
© Siemens AG 2017
April 2017Page 28 siemens.com
Video scribble:
Closed Loop Manufacturing and Quality
© Siemens AG 2017
April 2017Page 29 siemens.com
Product
DesignProduction
Planning
Production
engineering
Production
execution
Services
How Closed Loop
Manufacturing brings value
in the Process Industry
© Siemens AG 2017
April 2017Page 30 siemens.com
Process Industry
Trends and Challenges in the Manufacturing Execution
Shorter Product Life-Cycle
Speed up Indus-
trialization
Better product
quality
Reduce
production’s
costs
$
Market Trends
• Glocalization –meet regional
requirements in global markets
• Shorter product innovation cycles
• Sustainability – make sustainable
products in a sustainable manner
• Health consciousness of consumers
• Price pressure (raw materials,
commoditization)
• Regulatory compliance complexity –
volatility
• Product & packaging variation –
convenience
• Technologization of products -
solutions, applications & services
• Personalized products
• Industry 4.0, Internet of Things
Product
complexity and
variety
Standardized process
with integrated
quality
Responsiveness
to market and
production
“Right the First
Time”
Real-time product and
production status
data availability
End-to-end product
and production
traceability
Comply with
regulations and
standards
Efficiencies across
multi-site supply
chains
Integrate
Process and
Discrete parts
Production line
agility -
planning
Asset and
material
optimization
Collaborative
R&D for
fast NPI
Challenges
© Siemens AG 2017
April 2017Page 31 siemens.com
Validating the Process Plant of the future
Simulation and
validation of
the process
plant
Tecnomatix Plant
Simulation
© Siemens AG 2017
April 2017Page 32 siemens.com
Quality testing of the product samples from production
Share a
common
system
platform with
production
processes
SIMATIC IT R&D
Suite
© Siemens AG 2017
April 2017Page 33 siemens.com
Production execution and integration with batch systems
Production
execution
integrated with
Batch System
SIMATIC IT UA
Process Industry
© Siemens AG 2017
April 2017Page 34 siemens.com
Efficient analysis of Production KPIs
Analytical and
visualization
tools to support
decision-
makers
© Siemens AG 2017
April 2017Page 35 siemens.com
• Faster new product introduction
(NPI)
• Increased throughput by
scheduling optimization
• Increase Product Quality
reducing scrap and rework
• Enhance the process
reliability and repeatability
• Enable Product Recall
• Provide full visibility on
Production KPIs
Speed in product innovation:
New Product Introduction and MES in Process
• Shorter Time To Market
• Production Optimization through
detailed scheduling
• Synchronize Production with
OffLine and AtLine Quality
Execution
• Integrated Production execution:
Batch and manual tasks
• Backward and forward Product
genealogy
• Production KPIs Management
BenefitsIndustry needs
© Siemens AG 2017
April 2017Page 36 siemens.com
Closing the Loop – The Digital Twin in the Process Industry
feed back insights to continuously optimize product and production
MindSphere
Formulated Product
Design
Manufacturing
simulation and
validation
Production &
Performance
© Siemens AG 2017
April 2017Page 37 siemens.com
Great Wall Wine Yantai Co Ltd –
Consistently highest quality with MES
• Maintain high quality standards
• Carefully manage vineyards
• Apply advanced technologies to the craft of winemaking
• Optimize complex, sensitive processes
Production executionSIMATIC IT
Proof from practice
Production executionSIMATIC IT R&D Suite
Gruppo Campari -
Initial steps towards the Digital Enterprise
• Product specification management on a global scale
• Simplify and standardize data collection and validation
• Responsiveness to information requests (market and
government)
© Siemens AG 2017
April 2017Page 38 siemens.com
Product
DesignProduction
Planning
Production
engineering
Production
execution
Services
How Closed Loop
Manufacturing brings value
in the Discrete Industry
© Siemens AG 2017
April 2017Page 39 siemens.com
Discrete Industry
Trends and Challenges in the Manufacturing Execution
Speed up Indus-
trialization
Better product
quality
Reduce
production’s
costs
$
Market Trends Shorter Product Life-Cycle
• Supply chain globalization / OEM
landscape to be shaken by new players
• R&D competitiveness and manufacturing
flexibility
• OEMs reducing in-house manufacturing to
focus on integrated systems assembly
• Global competition in lower tiers is
becoming very fierce
• Compliance to standards and regulations
across different countries
• Skill shortage vs technology changes
• Aircraft production backlog steadily
increasing
• Cost and quality pressures
• Industry 4.0, Internet of Things
Proliferation of
process
variations
Increased pressure on
time to market & cost
effectiveness
Agile
management of
engineering
Quick ramp-up of
know-how and
skills
Balance existing
programs and new
opportunities
New manufacturing
technologies per
innovation needs
Fulfil regulations
and compliance
Increasing pressure for
supply chain
transparency
Visibility into
non-conformance
costs
Localize
production to
reduce costs
“Right the First
Time”
Optimize quality
assurance
processes
Challenges
© Siemens AG 2017
April 2017Page 40 siemens.com
Discrete Manufacturing – Closed Loop Manufacturing
Import of BOM
/ BOP from
Teamcenter,
define
Workflow and
Dispatch Order
SIMATIC IT UA
Discrete
Manufacturing
© Siemens AG 2017
April 2017Page 41 siemens.com
Discrete Manufacturing – Production execution
Run inspection
operations and
manage issue
for high quality
products
SIMATIC IT UA
Discrete
Manufacturing
© Siemens AG 2017
April 2017Page 42 siemens.com
• Smooth introductions of new
products
• Easy handling of product
changes / revision management
• Paperless manufacturing for
streamlined operation and
compliance
• More visibility on production
progress
• Reduction of scraps
• Production feedback for
continuous improvements
Industry needs
Speed in product innovation:
New Product Introduction and MES in Discrete Manufacturing
• Removes the barriers between
Manufacturing Engineering,
Planning and Execution
• Enables streamlining business
processes with holistic systems
approach
• Enables collaboration between
engineering and execution for
issue & non-conformance lifecycle
• Enables paperless factory with full
manufacturing transparency and
operational visibility
Benefits
© Siemens AG 2017
April 2017Page 43 siemens.com
MOM Portfolio evolution to maximize value and address
industry-specific needs within the Digital Enterprise SW Suite
CloudOn-premises
SIMATIC IT
R&D/MES
SIMATIC IT
Preactor APSCamstar MES QMS Mentor Graphics - Valor
ManufacturingEffective cross-functional collaboration
Quality
Consolidated Products and Process Quality
Engineering
Integrated and automated Production System Engineering
The value of MOM portfolio integration:
Teamcenter
MindSphere
SIMATIC IT
Preactor APS
© Siemens AG 2017
April 2017Page 44 siemens.com
Thank you!