CVP - ANSYS Users
CVP - ANSYS Users
CVP - ANSYS Users
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Marc H alp ern, P .E ., P h .D .
Key Issues<br />
■ What are the strategic competitive imperatives driving<br />
product development organizations over the next 5<br />
years?<br />
■ How does Collaborative Virtual Prototyping (<strong>CVP</strong>)<br />
address the strategic imperatives and what are the key<br />
architectural components?
The Emerging Business Imperatives<br />
Collaboration<br />
Agility<br />
Product<br />
Innovation<br />
Collaborative<br />
Product Commerce<br />
(CPC)<br />
Product<br />
Customization
Innovate or Die!<br />
Business Benefit<br />
10x<br />
5x<br />
3x<br />
2x<br />
1x<br />
Reduce costs by<br />
5% - 15%<br />
CAD and Design<br />
Validation Apps<br />
Reduce<br />
cycle time by 30%<br />
Combined<br />
with PDM<br />
Develop a new<br />
revenue stream<br />
CPC:<br />
Exchange<br />
Insights
Let’s Collaborate!<br />
Newly Enlightened<br />
“E”-Channel Master<br />
You will be joining<br />
our B2B Commerce<br />
Portal won’t you?<br />
Supplier<br />
make it quick<br />
this time
Collaboration Agility<br />
“Time-to-Market” “Right-to-Market”<br />
•Product development cycle-time<br />
speed<br />
•Increased number of products<br />
introduced<br />
•Exchange CAD files<br />
•Supplier/OEM relationships<br />
•Strategic partnerships<br />
•Optimized processes<br />
Agility/<br />
Flexibility<br />
Throughput<br />
Speed<br />
•Speed of product development<br />
course corrections<br />
•Speed of adding innovative product<br />
features<br />
•Share insights and ideas<br />
•Supplier collaboration<br />
•Recombinant business models<br />
•Collaborative processes
Outsourced Engineering<br />
Indirect<br />
MRO<br />
Direct Commodity<br />
20%<br />
7%<br />
Other Indirect<br />
7%<br />
Source: Goldman Sachs, “e-Automotive Report”, January 2000<br />
Direct Engineered<br />
“This is the biggest challenge since the industrial revolution”<br />
66%<br />
-J. T. Battenberg III, CEO and President, Delphi Automotive Systems<br />
Fortune , May 15, 2000 , v141, i10, p265+
B2B Product Mix<br />
100%<br />
90%<br />
80%<br />
70%<br />
60%<br />
50%<br />
40%<br />
30%<br />
20%<br />
10%<br />
0%<br />
Customized Products<br />
Personalized Products<br />
Configured Products<br />
Standard Products<br />
2000 2001 2002 2003 2004 2005
B2C - Personalize to Order<br />
• Component groups<br />
• Frame type<br />
• Styling options<br />
c<br />
www.coolbikes<br />
www. coolbikes.com .com<br />
c<br />
Web Access<br />
CPC Applications<br />
CPC Web<br />
Data Store<br />
(<strong>CVP</strong>)<br />
• Generate custom<br />
rendering<br />
• Allow user to edit<br />
styling options<br />
c<br />
I want a cool<br />
custom bike<br />
? Riding style<br />
? Terrain<br />
? Human factors<br />
c
Key Issues<br />
■ What are the strategic competitive imperatives driving<br />
product development organizations over the next 5<br />
years?<br />
■ How does <strong>CVP</strong> address the strategic imperatives<br />
and what are the key architectural components?
<strong>CVP</strong> Imperatives<br />
<strong>CVP</strong><br />
Framework<br />
Collaboration Agility<br />
Product Innovation<br />
Innovation<br />
Synthesis<br />
Collaborative<br />
Virtual Prototyping<br />
(<strong>CVP</strong>)<br />
Predictive<br />
Engineering<br />
Product Customization
<strong>CVP</strong> Building Blocks<br />
Web Access<br />
VPDM<br />
CPC Web<br />
Datastore<br />
<strong>CVP</strong> Framework<br />
Systems<br />
Frameworks<br />
Innovation Synthesis<br />
Collaborative Virtual<br />
Prototyping<br />
(<strong>CVP</strong>)<br />
DMU<br />
Knowledge<br />
Management<br />
Modeling<br />
Predictive Engineering<br />
Stochastic<br />
Methods<br />
Systems/Component<br />
Simulation
Innovation Synthesis<br />
What innovative<br />
approaches are available<br />
outside my company<br />
for solving this problem?<br />
2<br />
Search internal<br />
knowledge databases,CPC web<br />
data store,Use knowledge<br />
based engineering or<br />
generative applications<br />
Is there internal pre-existing<br />
proprietary<br />
knowledge or resources<br />
to address this<br />
problem?<br />
1<br />
External Knowledge<br />
Search patent and<br />
external knowledge<br />
databases,<br />
Use CPC supplier<br />
collaboration<br />
Internal Knowledge<br />
Search CSM<br />
databases<br />
3<br />
Will this approach<br />
meet performance and<br />
reliability criterIa?<br />
<strong>CVP</strong> technologies<br />
4<br />
Simulation<br />
What parts or components<br />
could be used for<br />
this approach?<br />
Instantiation
Innovation Synthesis Portfolio<br />
Abstraction Level<br />
Concepts/<br />
Ideas<br />
Behavior/<br />
Performance<br />
Part/<br />
Topology<br />
Patent and<br />
Effects<br />
Databases<br />
Functional<br />
Modeling<br />
Internal<br />
Knowledge<br />
Glossaries and<br />
Databases<br />
Parametric<br />
Family<br />
Tables<br />
Generalized,<br />
Fine Grained<br />
Solution Libraries<br />
Knowledge-Based<br />
Engineering<br />
CAD Knowledgeware<br />
VPDM<br />
Idea Synthesis<br />
System<br />
Simulation<br />
Behavior<br />
Simulation<br />
Component &<br />
Supplier<br />
Management<br />
Generative CAD<br />
Applications<br />
Custom Solutions Packaged Apps<br />
Application Solution Granularity<br />
Mature applications Emerging applications
Predictive Engineering<br />
Simulation Reliability<br />
Increasing Product Knowledge<br />
Model Complexity<br />
Later Design Iterations`<br />
First VP, Early Design Iteration
Predictive Engineering Portfolio<br />
Abstraction Level<br />
Modeling<br />
Behavior/<br />
Performance<br />
Interpretation/<br />
Decisions<br />
Internal<br />
Knowledge<br />
Glossaries and<br />
Databases<br />
Functional<br />
Modeling<br />
Neural Network<br />
Solutions<br />
Generalized,<br />
Fine Grained<br />
Simulation Model<br />
Abstraction Tools<br />
Simulation Model<br />
Repositories<br />
Intelligent<br />
Agents<br />
Simulation<br />
Frameworks<br />
Custom Solution<br />
Libraries<br />
Knowledge-Based<br />
Engineering<br />
CAD Knowledgeware<br />
Systems<br />
Modeling<br />
VPDM<br />
Systems<br />
Simulation<br />
Visualization<br />
Haptics<br />
Stochastic Methods<br />
Application Solution Granularity<br />
Virtual Reality<br />
Custom Solutions Packaged Apps<br />
CAD<br />
Behavior<br />
Simulation<br />
Manufacturing<br />
Simulation<br />
Mature applications Emerging applications
$ Collaborative Product Development<br />
$ Collaborative Production<br />
Engineering<br />
<strong>CVP</strong> Framework<br />
Collaborative Product Commerce (CPC) Portal<br />
Inbound<br />
Commerce<br />
Web Access<br />
<strong>CVP</strong> Applications<br />
CPC Web<br />
Data Store<br />
Outbound<br />
Commerce<br />
$ Product Commerce Portal<br />
$ Product Maintenance Portal<br />
$ Product Concept Marketing Portal
CPC Web Data Store<br />
Functional Requirements<br />
Capture and store<br />
Cleanse and enrich<br />
Structure and abstract<br />
Enrich with knowledge<br />
CPC Web<br />
Data Store<br />
Enabling Technologies<br />
RDBMS<br />
Metadata information vaulting<br />
Content databases/<br />
Internet infomediaries<br />
Data/object modeling
<strong>CVP</strong> Applications<br />
Functional Requirements<br />
Share and collaborate<br />
Modeling<br />
Understand, recommend<br />
Integrate with existing<br />
business systems<br />
Process management<br />
<strong>CVP</strong> Applications<br />
CPC Web<br />
Data Store<br />
Enabling Technologies<br />
E-mail, discussion databases,<br />
webcasts, net meetings<br />
VPDM, DMU, other modeling apps<br />
Simulation and interpretation apps<br />
XML and EAI<br />
PDM , PKM, and Agents
Web Access<br />
Functional Requirements<br />
Navigate<br />
Search and retrieve<br />
Profile and personalize<br />
Information push/pull<br />
Web Access<br />
CPC Applications<br />
CPC Web<br />
Data Store<br />
Enabling Technologies<br />
Web browsers<br />
Search engines<br />
Information agents<br />
Publish/subscribe
Recommendations<br />
•Collectively build a core competency in the capture and re-use of<br />
virtual prototyping experience and data.<br />
•Focus on understanding the sensitivity of key design parameters to<br />
variability in manufacturing processes and operating environments.<br />
•Develop an explicit understanding of interfaces between<br />
collaboration partners at both the technical and business level.<br />
•Look for vendors that are proactively moving towards the <strong>CVP</strong><br />
architectural model. Judge them on their CPC domain expertise and<br />
production-proven capabilities.
Summary<br />
•Infusion of simulation capabilities into Collaborative Product<br />
Commerce will be driven by today’s business imperatives.<br />
• Such Collaborative Virtual Prototyping involves Innovation<br />
Synthesis, Predictive Engineering, and <strong>CVP</strong> Frameworks<br />
•<strong>CVP</strong> success must be cultivated through the capture and re-use of<br />
Product Data and Product Knowledge across the supply chain
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