Research in Cyber Infrastructure for Engineering Design: Technical Challenges

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Research in Cyber Infrastructure for Engineering
Design Technical Challenges

• Ram D. Sriram
• Leader, Design and Process Group
• Manager, Manufacturing Metrology and Standards
  for the Health Care Enterprise
• Manufacturing Systems Integration
  DivisionNational Institute of Standards
  Technology
• URL http//www.nist.gov/msid
• E-mail sriram_at_nist.gov

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Collaborative Design
Organization
Applications
Standards
Infrastructure
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Globally Networked Engineering

• Engineering organizations are globally
  distributed networks
• Large scale engineering organizations are moving
  towards system integrators and suppliers
• Collaboration across the network varies from over
  the wall transfer of information to joint
  development
• Role of information technology is still limited
  in-spite of success stories such as Boeing 777.
• Recent efforts in PLM/KM is encouraging as the
  PLM initiative is focusing on strategic business
  approach for the effective creation, management
  and use of corporate intellectual capital.

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Factors in Achieving Seamless Networks of Design
and Manufacturing

• Connectivity Bandwidth for large scale data and
  information transfer
• Reach The ability to access and provide right
  information that is distributed across the
  networked enterprise
• Interactivity The ability to interact with
  people, computational tools and physical tools
  across time and space
• Any Cyber Infrastructure has to support along all
  these three dimensions

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Technical Challenges

• 1. Knowledge Management Representation, Mining
  and Molding

Function Behavior Heuristics Design Process .
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Kinds of Ontologies
ad hoc Hierarchies (Yahoo!)
Description Logics (DAMLOIL)
XML Schema
structured Glossaries
formal Taxonomies
XML DTDs
Terms
Thesauri
Data Models (UML, STEP)
Principled, informal hierarchies
ordinary Glossaries
Data Dictionaries (EDI)
General Logic
Frames (OKBC)
DB Schema
Glossaries Data Dictionaries
MetaData, XML Schemas, Data Models
Formal Ontologies Inference
Thesauri, Taxonomies
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Technical Challenges

• 1. Knowledge Management Shared Information
  and Knowledge

Transient
Tangible (Product/Process)
Intangible
Smith model
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Technical Challenges

• 1. Knowledge Management
• 2. Repositories Capture and Reuse

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Initial startup screen
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Motor added
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Gearbox added
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Chuck added
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Complete drill model
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Simulation
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Technical Challenges

• 1. Knowledge Management
• 2. Repositories Capture and Reuse
• 3. Immersive Environments

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Technical Challenges

• 1. Knowledge Management
• 2. Repositories Capture and Reuse
• 3. Immersive Environments
• 4. Standards

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Design-Manufacturing Integration

a



























Immersive CAD (Virtual Assembly)
Testing
AP 203
Virtual Assembly AP
Process Constraints Assembly Constraints
Traditional CAD
TCAD-KBCAD
Design for X (Knowledge-based)
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Communication Levels
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PLM/KM and Standards
Discovery Conceptual Detailed
Manufacture Testing Consumer
Disposal Design
Design
Quality Market
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PLM/KM and Interoperability
DESIGN ORGANIZATION
DESIGN ORGANIZATION
DETAILED DESIGN
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Roadmap for Systems Integration
Self-integrating systems
Self-describing systems
Explicit, formal semantics
Common models of data
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Technical Challenges

• 1. Knowledge Management
• 3. Repositories Capture and Reuse
• 3. Immersive Environments
• 4. Standards
• 5. Constraint Management

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Technical Challenges

• 1. Knowledge Management
• 2. Repositories Capture and Reuse
• 3. Immersive Environments
• 4. Standards
• 5. Constraint Management
• 6. Negotiation Tools and Techniques

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Technical Challenges

• 1. Knowledge Management
• 2. Repositories Capture and Reuse
• 3. Immersive Environments
• 4. Standards
• 5. Constraint Management
• 6. Negotiation Tools and Techniques
• 7. Database Organization and Access

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Database Organization and Access
Traditional (Short Duration)
Collaborative (Long Duration)
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Technical Challenges

• 1. Knowledge Management
• 2. Repositories Capture and Reuse
• 3. Immersive Environments
• 4. Standards
• 5. Constraint Management
• 6. Negotiation Tools and Techniques
• 7. Database Organization and Access
• 8. Design supply chains

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The Supply Chain
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Automobile Supply Chain Example
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Types of Supply Chain Collaborations
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2
4
3
Design
Manufactur
e
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8
7
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Design Supply Chain Issues

• Design management
• Outsource vs In-house
• Sensor based and RFID based management of
• maintenance and monitoring of production,
  supply chain,
• inventory and product performance

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Technical Challenges

• 1. Knowledge Management
• 2. Repositories Capture and Reuse
• 3. Immersive Environments
• 4. Standards
• 5. Constraint Management
• 6. Negotiation Tools and Techniques
• 7. Database Organization and Access
• 8. Design Supply Chains
• 9. Remote Monitoring and Sharing

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Technical Challenges

• 1. Knowledge Management
• 2. Repositories Capture and Reuse
• 3. Immersive Environments
• 4. Standards
• 5. Constraint Management
• 6. Negotiation Tools and Techniques
• 7. Database Organization and Access
• 8. Design Supply Chains
• 9. Remote Monitoring and Sharing
• 10. Security

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Acknowledgments

• Rachuri Sudarsan, Eswaran Subrahmanian, Steven
  Fenves, Kevin Lyons, Simon Szykman,(with help
  from Chris Paredis) contributed to this
  presentation. Other members of the Manufacturing
  Integration Program working on various product
  engineering aspects are Shaw Feng, Xuan Zha,
  Sebti Foufou, Junhwan Kim, and Conrad Bock.