Emerging Standards Discussion 1 20160329 Challenges for industry Increased product complexity Reduce timetomarket Promoting collaboration among multiple engineering disciplines Integrating complex systems ID: 722045
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Slide1
SMSWG Meeting03/29/2016
Emerging Standards - Discussion
1
2016-03-29Slide2
Challenges for industry
Increased product complexityReduce time-to-market
Promoting collaboration among multiple engineering disciplinesIntegrating complex systems engineering processesEnabling the sharing of intellectual property among globally dispersed teams, companies and industries.Managing costs while still ensuring that performance objectives can be met.
2Slide3
System Modeling and Simulationper SMSWG Terms & Definitions
3
System Modeling and Simulation (SMS) is defining a common engineering framework and virtual environment enabling upfront optimization of a product, system or process, IP management, decision making and speed of execution. This is achieved by being able to predict through simulation behavior, efficiency and performance upfront and real-time virtually. Subsets of SMS are, for example, SLM, PLM, PLE, ALM, digital manufacturing, business analytics, etc. It combines the worlds of traditional CAE and System Engineering on a new level. SMS creates an all-inclusive umbrella for bringing all engineering areas together from a product, solution and / or ecosystem point of view. Slide4
Model-based SE approach *
Test cases
Test cases
Test cases
Component
Component
Component
Component
Early Integration
Model
Environment
model
Model
Common
Test
cases
Hardware integration & test
Reality meets model
Validierung der Anforderungen
Model
Environment
model
Model
Model
Emulation
Eg. Incoming inspection / acceptance
Simulation
with virtual models
Component
Component
Component
Verifikation des Systems
Model
Model
Model
Environment
model
* Unity AGSlide5
Business Process View | Solution Approach >
Collaborative System Engineering *
Systems/OEM Engineering
Multidisciplinary
Model Based Systems Engineering
Early
Virtual Systems Validation (Functional Mockup)
Disciplines/Supplier Engineering
Software/Electronics/Mechanical Eng.
Product
Needs
R
equirements
Management
F
unctional
Analysis
L
ogical
Architecture
Design
P
hysical Design
Validation
Verification
Integration
Unified Process Management & Traceability (Governance)
Virtual/Real
RFLP: PLM for SystemsSlide6
Requirements
System
Architecture
Sub-System
& Component
Development
Test &
Verification
Calibration, Diagnostics, Manufacturing
Systems Engineering Pains (Automotive example)
Embedded
Software
LINSpector
Vector CANALYSER
Vector CANape
Vector CANoe
AMESim
SimPack
MathCAD
GT suite
TESIS VeDyna
MPLAB
MINT
GENTX
LABCAR
ETAS INCA
StarFrec
IVS
ITS
EDIABAS
Code Editors…
Compilators
…
Flasher…
Doors
eDoc
MS Word
Sodius
Geensys
Volcano
Adams
Bus Archi.
MS Office
Core
Entreprise Architect
Caliber
Matlab Simulink
Microgen
HIL Dspace
Matlab Simulink
Autobox Dspace
Target link
Dspace
Rhapsody
Matlab Simulink
QA-C
…
…
…
Heterogeneous
Data Bases
“The Glue”
Requirement CentralF/L EditorSystem Experiment ManagerLogic Control ModelerBPA SafetyLogic Control ModelerDynamic Behavior Modelling3D for SystemsSlide7
FEOB
CONCEPT
ADV. ENG.
ENG.
MFG. ENG.
S.A.S.
Integration into PLM and Customer Link
Work-in-Process
Below the Line
Enterprise Process
Above the Line
Workflow
WIP
Transactional
Released
Collaborative
Highly
Iterative
Requirements
Finance
PDM
CAD
eBOM
Warranty
ERP
Program
Mgt
mBOM
PLM
CAE
Test Data
Management
Methods
Templates
Scripts
Statistical
Customer
Content
Sim
Product Structure
Engineering
Reports
FEM
Methods
Abstracted
Geometry
SLMSlide8
Engineering Areas / Disciplines throughout the Life
Cycle*
In-the-Loop ManagementRequirementsQualityChange managementSupply chainProgram management
Maturity
R&D
Design
Release
Production
Retire
Simulations / Analysis
Virtual design
Virtual Testing
Virtual manufacturing
Risk assessment / certification of correctness
End-of-life
Costing
Trade-off studies
Assessments
Market
Requirements
Quality
Performance
Enabling foundation
Organization
Culture
Collaboration
Communication
Process
Integration
Traceability
Impact Analysis
Validation
Verification
Unification
Technology
Infrastructure
Tools
Common
Flexible
Advanced
3D Models
Big Data
Internet of Things
Model-based
Enpterprise
* Courtesy of Dana Holding Corp.Slide9
Overall goal of the FMI project in the
Modelica
Association: Tool InteroperabilityModel-/Software-/Hardware-in-the-Loop
Co-Simulation &
Tool Interoperability
FEA of brake disc & Tire
Hydraulic System
Chassis
e.g
.
Abaqus
e.g
. Adams
e.g
.
Dymola
©
ModelonSlide10
Co-Simulation
Work Flow
ContextModel ManagementReal
Code (HIL)
Software (SIL)
Model (MIL)
Controller (Discrete)
Physical
Logical
Plant (Continuous)
Hierarchical abstractions
S
cenario Management
Scientific workflow
Automation
Optimization / MDO
Design Exploration
Stochastic Drivers
Quality Methods
Approximations
Multiphysics
Execution Engine
Simulation Scheduler & Backplane
HPC Solvers
…
…
Simulation Composition
On premises
On the Cloud
Mobile
R
esults
Experience
Define
Execute
Com
.1
Sim.1
Com
.2
Sim.2
Com
.n
Sim.nSlide11
Standards
What are the links between the different areas?
What do we need?What do we have already?How do we make it vendor independent?11