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Smart Manufacturing, Manufacturing Intelligence and Demand-Dynamic Performance
Smart Manufacturing Leadership Coalition (SMLC)Jim Davis – UCLA February 6, 2011
http://smartmanufacturing comhttp://smartmanufacturing.com
National Modeling and Simulation Coalition
Jan 30 Wall Street Journal: The Coming Tech Led BoomMark Mills & Julio OttinoMark Mills & Julio Ottino
“The second transformation? Smart manufacturing. This is the first structural shift since Henry Ford launched the economic power of "mass production."
“We are just entering an era where the very fabrication of physical things is revolutionized by i t i l i E i ill d i d b ild f th l l l l emerging materials science. Engineers will soon design and build from the molecular level,
optimizing features and even creating new materials, radically improving quality and reducing waste.”
“The Internet is evolving into the "cloud"—a network of thousands of data centers any one of which makes a 1990 supercomputer look antediluvian.”
“From social media to medical revolutions anchored in metadata analyses, wherein astronomical feats of data crunching enable heretofore unimaginable services and businesses, we are on the cusp of unimaginable new markets.”
21st Century Smart Manufacturing
Data• Demand‐dynamic economics keyed on the intelligence of the ‘customer’
• Coordinated enterprise responses throughout the entire
AnalyzeApply
responses throughout the entire manufacturing supply chain
• Predictive, preventive
Dramatically intensified application of manufacturing intelligence using
advanced data analytics, modeling and simulation to produce a fundamental ypp y
• Integrated computational materials engineering
transformation to transition/new product‐based economics, flexible factories and demand‐driven supply
chain service enterprises
• Performance‐oriented enterprise, minimizing energy and material usage and
i i i i t l
Modelmaximizing environmental sustainability, health and safety and economic competitiveness
Raising the Level of Abstractiong
Business (Collaboration, (Broader MetricsReal-time Decisions)
If Smart Manufacturing is such a smart idea why aren’t companies already doing it?
Already Investing in Information Organizational
Mindset
Already Investing in Information Technology, Automation and Controls for 40 years
Technology(Horizontal & VerticalPervasive)
Workforce(Innovation & Broad Based)Pervasive) Broad-Based)
SMLC Implementing 21st Century Smart Manufacturing
• Air Liquide• Alcoa
• American Council for an Energy Efficient EconomyA i I tit t f Ch i l
• Merck• Microsoft
O k id N ti l L b t• Applied Materials• CH2MHill• Cisco• Dow
• American Institute of Chemical Engineers
• Council on Competitiveness• Institute of Paper Science &
• Oakridge National Laboratory• Owens-Corning• Procter & Gamble• Pfizer• Dow
• DuPont• Eli Lilly• Emerson
pTechnology – Georgia Tech
• Manufacturing Institute• National Center for Manufacturing
Sciences
Pfizer• Praxair• Rockwell Automation• Sematech
• ExxonMobil• Ford• General Dynamics
Sciences• National Council for Advanced
Manufacturing• Putman Media
• Carnegie Mellon University• Purdue• Georgia Tech
RENCI/N th C li Ch l • General Mills, Inc.• General Motors• Honeywell International• Invensys
• Walt Boyes – Spitzer and Boyes • Jim Porter – President Sustainable
Operations Solutions - Chief Engineer and Vice President
• RENCI/North Carolina Chapel Hill
• UCLA• University of Texas Austin• Invensys
• KraftEngineer and Vice President Engineering and Operations DuPont Company (Retired)
• Denise Swink - Consultant
y• U. Wisconsin Milwaukee
School of Management
Smart Manufacturing is the Application of Networked-Based Manufacturing Intelligence & Integrated Performance MetricsIntelligence & Integrated Performance Metrics
Untapped degrees of Freedom: performance, efficiency & productivity
Actionablebusiness &operations
Business Systems, ERP
efficiency & productivityoperationstradeoffs Tracking &
traceability
Anticipate, plan,manage riskacross
li
Supply ChainDistribution Center
Customer
Smart Factory
suppliers
Smart Grid
Factory
New formsbenchmarking
ComputationalMaterials Engineering
6Courtesy of Rockwell Automation : Copyright © 2009 Rockwell Automation, Inc. All rights reserved.
benchmarking
Performance and Demand Dynamicsy
Mi i
New real-time globalPerformance metrics –•customization
Farming
Mining
• Less vertically integrated
•energy performance•reuse
Supply Chain
• More information driven• Workforce ecosystem
Manufacturing Plant• Customers “pushing” demands• Flexible production - smaller
Customer
Distributor
Courtesy of Rockwell Automation : Copyright © 2009 Rockwell Automation, Inc. All rights reserved.
pvolumes of custom products
Smart Manufacturing PlatformInfrastructure for Real-Time Data Driven
Modeling and Simulation
SMEsSmall & Medium
SMLC Industry‐Driven
Integrated Performance
Modeling and Simulation
Rapid EnterprisesNCMS, AIChE
MetricsNCMS, AIChE, NIST
Outreach
pEvaluation
& Outreach
Real‐time Data & Modeling Workflow To& & Metric Toolkit/A D l t
Pre‐competitive& Competitive
Hub
Test BedManufacturer& SupplierCrosslinking Engagements
Apps StoreCloudServices
Community Source
Resources
Standards and Reference
Key Development
App Development EngagementsUCLA
Business CollaborationsBenchmarking Reference
ArchitectureEmerson, Honeywell, Invensys Rockwell
pResources
Universities, SME’s Manufacturers, Labs Community Source Market Place
Benchmarking
11/1/11
8Real Time Collaborative Cloud Computing
Smart Manufacturing
htt // t f t ihttp://smartmanufacturing.com
http://smart-process-manufacturing.ucla.edu/