Virtual system engineering and model-based systems engineering (MBSE) can accelerate product development cycles and ensure digital continuity from design to manufacturing. Key benefits include efficient management of product roadmaps through modular approaches, effective decision-making using modeling and simulation of complex systems, reduced development costs through virtual testing prior to production, and improved collaboration in global environments. The document provides an example of applying these techniques to the engineering of a tanker system.

1. 1© 2018 Capgemini. All rights reserved.
Virtual System Engineering & MBSE
September 2018
Marie Capron

2. 2© 2018 Capgemini. All rights reserved. 2
What is Virtual Engineering ?
DCEEI canal water lock
System architecture &
functional
MBSE based design
(SysML, Modelica..)
Complex system
Real canal water lock
17B€ dev cost
SOGETI High Tech MBSE tanker
(SysML, Modelica ..)
Trade off
The enabler : Reusable
multi disciplinary
Modelling data base
Collaborative
env
Collaborative
env

3. 3© 2018 Capgemini. All rights reserved. 3
Virtual System Engineering as market stake enabler
Time to Market
Performance
cost & Quality
New technology
integration to
innovation
Collaborative &
Global
environment
Virtual System Engineering ( Modelization, Simulation, Virtual testing and modular prototyping) and
MBSE approach is the enabler to accelerate product development cycle time and to ensure digital continuity
from concept & design to physical prototypes (3D printing) and manufacturing
Benefits:
 Efficient Management of product line roadmap by platforming /modular approach
 Effective Decision Making by Modeling & simulating complex behavior
 Fast Assessment of technical solution performance, innovation, cost and impact prior to build by
anticipating and verifying
 Securing and verifying specification and interfaces prior to build
 End-to-end view with advanced requirements management
 Reducing inconsistencies by model sharing in global environment
 Optimize verification & validation (Virtual testing and V&V)
 Anticipate issues (corner conditions, pb reproductibility)
 Full Ecosystem of partners: Dassault System, Spherea, Argosim/Stimulus, Capella/Arcadia
Virtual
Design
& MBSE
Architecture
&
Design
System Of
Systems
Traceability
PLM
Virtual
Testing

4. 4© 2018 Capgemini. All rights reserved.
Modelling: the core of virtual approach
System Specification
& Design
Implementation Integration Acceptance/Certification
System Concept & Development Manufacturing
Obsolescence/
Dismantle
Recycle
Change
& Adapt
SoS level
System level
Sub-system /
Equipmentlevel
System
requirements
System
implementation
System
design
Integration
testing
System
testing
Unit testing
Product
acceptance
Stakeholders
requirements
Mission / business
analysis
System physical
architecture
System logical
architecture
Modeling,
Simulation
and
Visualization
Modeling for
functional /
physical
allocation
HIL
simulation
for
integration
and testing
Behavioral
simulation
for system
design and
analysis
Prototyping
for needs
validation
MES Dismantle
Change
& Adapt
Change
& Adapt
Product life
cycle events
simulation
Recycle
Exploitation
& support
Change
& Adapt
Virtual
Design
& MBSE
Architecture
&
Design
System Of
Systems
Traceability
PLM
Virtual
Testing

5. 5© 2018 Capgemini. All rights reserved. 5
Virtual System Engineering & MBSE

6. 6© 2018 Capgemini. All rights reserved.
Virtual Testing
Simulate physical test to anticipate test phases
DESIGN TEST
Prototype
MANUFACTURING
EARLY VALIDATION
Improve product maturity
during the design phase
by using virtual
prototypes.
VIRTUAL
VERIFICATION
Reduce real physical test
by using product
behaviour virtualisation.
Reduce the number of real test
 Focus on critical real test or
certification test
 Definition of test means and
prepare test protocol
Improve product quality
 Increase test coverage
 Include test in critical situation
Virtual Structural Test for an aircraft
fuselage Simulator as a test mean
Anticipate problem detection
 Simplify component integration
 Estimate impact on the global
system
 Identify risk and uncertainty
 Reduce lead time

7. 7© 2018 Capgemini. All rights reserved.
Virtual SE demo

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System overview
Requirement
manage-
ment
• Start from Mission
requirements
• Ensure traceability
between all elements
Operational
analysis to
Physical
Architecture
• Architecture
Breakdown at Tanker
level (System of Systems)
• Re-use Physical
Architecture done by DS
CATIA experts
Modeling &
Simulation
• Behavioral modeling with
Dymola (DBM) :
• Command & Control for
water ballast system
Operational
analysis to
Physical
Architecture
• Refine requirements
• Water Ballast
Architecture Breakdown
• Re-use Physical
Architecture done by
3DS CATIA experts
Modeling &
Simulation
• Simulate Water Ballast
and Deballast behavior
with Dymola (DBM)
Hardware
in the Loop
• Interfacing through
UDP protocol :
• existing hardware
control panel with DBM
water ballast model
Operational
analysis to
Physical
Architecture
• Refine requirements
• Anticollision
architecture Breakdown
Tanker
(top level system)
Water ballasts
(system level)
Anti-collision
(system level)

9. 9© 2018 Capgemini. All rights reserved. 9
MBSE Engineering process: Tanker
3DExperience
Requirements Operational Functional Logical Physical
SystemofSystems
Architecture
(RFLP)
SystemArchitecture
(RFLP)
Validationwith
DynamicModeling
&HILSimulation
Mission
requirements
analysis
Identify use cases
and environment
Define
functions
Allocate
functions to
components
Design tanker
structure
Water ballast
requirements
Anticollision
requirements
Refine
functions at
system level
Refine
components
architecture
Design water
ballast components
Identify scenarios
and use cases
Dynamic Behavior
Modeling
(basic to detailed)
Command &
Control Software
simulation
Command &
Control Hardware
simulation
Identify system
components and
interfaces
Validate
architecture
Virtual
Design
& MBSE
Architecture
&
Design
System Of
Systems
Traceability
PLM
Virtual
Testing

10. 10© 2018 Capgemini. All rights reserved. 10
Digital
twin
Digital Twin results

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Key takeaways
Virtual
Design
& MBSE
Reduce inconsistencies & Accelerate
decision making process thanks to
complex system modeling and
simulation
Architecture
&
Design
System Of
Systems
Establish an efficient
product line strategy per
platformes and derivatives
based on reuse
Traceability
PLM
Implementation of a
collaborative System
Engineering ensuring digital
continuity
Virtual
Testing
Anticipate and check
specification, assess cost
& performances trade off
prior to build
Integrate and validate
quickly systems and
partner ecosystem
Ensure coherence at all
breakdown levels

12. 12© 2018 Capgemini. All rights reserved.
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