Smart Manufacturing Leadership Coalition...
Transcript of Smart Manufacturing Leadership Coalition...
Smart Manufacturing Leadership Coalition (SMLC)
The infusion of intelligence that transforms the way Industries conceptualize, design, and operate the manufacturing enterprise.
Denise Swink, CEO - SMLC
https://smartmanufacturingcoalition.org http://smartmanufacturing.com
Continuous
Batch
Motion Drive
Discrete
Safety
2
Most plants use multiple separate manufacturing control and information technologies
Combined
Heat &
Power
(CHP)
Energy-efficient
Motors
Distributed
Control
Systems
(DCS)
Programmable
Logic
Controllers
(PLC)
Smart
Machines
& Robots
Manufacturing Today
30 Years of IT & Islands of Efficiency
Courtesy of Rockwell Automation : Copyright © 2010 Rockwell Automation, Inc. All rights reserved.
Copyright © 2009 Rockwell Automation, Inc. All rights reserved.
Continuous
Batch
Motion Drive
Discrete
Safety
3
End-to-end data and information connectivity across the plant floor
e.g., Ethernet/IP
• Networked sensors & information
• New forms of benchmarking
• Untapped efficiency opportunities
• Integrated, global performance metrics
• New forms of production management
Industrial Energy Management
Smart Manufacturing 101 Networked Information & Integrated Decision-Making
Test Beds - General Dynamics, General Mills, General Motors, Praxair,
Corning, Pfizer, NETL, Alcoa, Center for Advanced Technology Systems/RPI
Design/Manufacturing Platform Providers – JPL/NASA, UCLA,
Rockwell, Honeywell, Emerson, Invensys, Nimbis
Modeling & Simulation Materials, Design, Manufacturing –
Caltech/JPL, NETL, Argonne, UCLA, UT Austin, Tulane, NCSU, CMU, Penn,
Purdue
Smart Manufacturing/Smart Grid – EPRI
Global Metrics/Outreach – AIChE, ASQ, ACEEE, NCMS, MESA, Sustainable
Solutions, Spitzer & Boyes
Agency partners – NIST, NSF
Regional/National Partners – ASERTTI, Center for Smart Manufacturing
Innovation in CA (CMSI), NASEO, Wisconsin Manufacturing Institute
S M L C 501c (6)
P A R T N E R S H I P S
“Information that drives the next century’s structural shift in manufacturing.”
S M A R T
M A N U F A C T U R I N G
(S M)
Modernized factory base
Bolder design of new plants
Accelerated manufacturing
innovation
Radical Sustainability
New skilled-workforce
New technology insertion
Zero incidents
Aggressive increase in SMEs
New high-tech jobs
Global competitiveness
“Making real-time information available when it is needed, where it is needed, and in the form it is needed throughout the Manufacturing ecosystem.”
S M
P L A T F O R M
Shared, scaled, open
architecture infrastructure
Manufacturing apps store
Knowledge-enabled, model
rich enterprises & supply
chains
Real-time, networked,
sensor-based modeling &
simulation
Manufacturing on the
internet
S M L C
O B J E C T I V E S
Develop a standards-based reference architecture based on
industry-driven collaboration with IT suppliers
Create and provide broad access to next-generation sensors, including low-cost sensing and sensor fusion
technologies
Lower cost barriers for applying advanced data analysis, modeling, and
simulation in core manufacturing
processes
Build pre-competitive infrastructure including
network and information technology,
interoperability, and shared business data
Ensure multi-level cyber security and
protection at a scalable level
Integrate requirements of
small, medium and large enterprises
Facilitate efforts to secure funding through public-
private and private-private partnerships to address priorities
Establish an industry-shared SM Platform that includes an open
architecture software development framework
Implement R&D projects for joint investment and
execution of SM Systems
Operate industry test beds for Smart Manufacturing System
concepts and make them available to companies of all sizes
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Supply Chain Distribution Center
Customer
Business Systems, ERP
Smart Grid
Smart Factory
Recipe Management
Mapping formula into operating
recipes
EDI transaction
& quality
certifications
FDA Tracking &
traceability
General Mills Networked-Based Manufacturing
Intelligence & Collaborative Manufacturing
Green Light
Analyze - to put into production
Make – right ingredients – confirmation on recipe
Release – meet requirements to release
Mapping SAP information
Into operation
Graphics courtesy of Rockwell Automation
Master Data (BOM,Specs,Vendor,Ingredients,FP)
Dir
ect
Co
nsu
mp
tio
n
Core Systems
Data Input
Core Functions
Raw
Mat’l
Inve
nto
ry
Fin
ish
ed P
rod
uct
In
ven
tory
Pro
du
ctio
n
His
tory
Pla
nt
Flo
or
Inve
nto
ry
Dem
and
Pla
n
Pro
du
ctio
n
Ord
er
Lin
e Sc
hed
ule
MQIS MES SAP ERP Red Prairie SAP APO SAP PLM SAP MRP
Value Creation Green Light to Convert
Green Light to Ship
Demand Driven Supply Chain
Wo
rkFl
ow
Lot
Trac
kin
g
Overusage
Op
tim
izat
ion
En
gin
e
Trace/Recall BOM Validation Yard Mgmt
Optimized Inventory
Business Applications
Directed Work
Supplier Managed Inv Line Supply Bin Mgmt
Allergen/Micro WorkFlow eCOA
GMI’s ECO System of “ STUFF”
Courtesy of General Mills
What is Smart
Orchestration- achieve optimal actions across specific environment at the speed of business
CONTEXT - give raw data meaning to do something effective with the information
DATA - retrieve related data, communicate to multiple sources, map it for RICH context
Multi-Layered Smart Manufacturing Workflow Management
Time Managed as Workflow Machines – People - Materials Dynamic Manufacturing Ecosystem
Design Data
Product Manufacturing
Materials & Process Tech
Prototype Qualification In
Service
Macro Layer
Meso Layer
Micro Layer 1000s of control loops
Time - minutes
100s of control loops
Time -hours
10s of control loops
Time – days
Focus: 10x Multiple
Pass Variability
Reduction; Supply
Chain Information
Focus: 100x Event
Variability/Tradeoff
Adjustment; Dynamic
Performance Mgmt.;
Integrated Metrics
Focus: Insertion,
Qualification, ICME,
High Fidelity Dynamic
Operations
Workflow, Data, Time & Cost
Smart Manufacturing Open Architecture
Platform
Control & Automation Propriety Optimized
Automation Workflows
Data Partnership Workflow
Orchestration
Toolkits
Sensor Data
Apps Store
Data collection, modeling & Synchronization multi-scale time requirements embedded
Data collection, modeling & synchronization defined by workflow
Single scale time requirement in workflow
Decision
Composability Design to manufacturing Workflow libraries
Separate Data & apps Data to apps paradigm
Test Bed Generated SM Systems
Smart Machine Operations
• In production machine-product management
• Benchmarking machine-product interactions
• Integrated dynamic management of machine-electrical power interactions
• Adaptable machine configurations
In Production Use of High Fidelity Modeling and Simulation
• High fidelity modeling for better management
• Rapid qualification of components and products
In Production Decision Making with Global Integrated Metrics
• Dynamic Business and Operational Tradeoff Decision-Making
• Dynamic performance management of global integrated metrics
• Untapped cross factory degrees of freedom for optimizing efficiency and performance and compressing time
Supply Chain Management
• Supply chain variability reduction and management of risk
• Tracking and traceability
Machine Function Benchmarking & Integrated Management
Design Operations Supply Chain
DOE Project SM - Test Beds
Dynamic energy management & cross unit performance
Praxair
General Dynamics
SM Platform
Implementation
Working Groups
Platform • Validation • Cyber security • Definition of open architecture • Standards requirements • Define a near-term demo • App store functions • Webinar
Business Development Group • Research study to develop business
case • Funding • Problem definition • SME outreach • Support service structure • Elevator speech for various audiences • Communications Package, Advocacy
Test Bed • Metrics • Domains w/diversity • Applications identification • Mock ups • Smart Grid interface • Problem categories • Sharing and Exchange of protocols • Skills identification
People & Training • Education & training (k-12, higher
education, existing workforce) • Existing workforce • Lead the paradigm shift • Test beds • Public-policy & advocacy for
workforce development
Member Benefits - 1
• Gain access to the “best and brightest”
SM resources from many disciplines
(esp. ME and ChE)
• Find opportunities to fuel innovation
• and access talent, knowledge and expertise
• Establish R&D implementation teams for specific projects
• Participate in the deployment of projects to address industry hurdles.
• Form partnerships to pursue new commercial opportunities
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Member Benefits - 2
• Manage risks and uncertainties of deployment through R&D and test bed opportunities
• Avoid high cost development of one-off, local solutions
• Develop engineering standards, define initial test beds, and target applications of prototypes
• Gain insight into early market opportunities and add commercial value
• Provide input and guidance for the design of the platform structure while it is under development
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Smart Grid
Customer
Enterprise Business
System
Suppliers
OEM Machine Builders
Distribution Center
Factory
• Higher value products
• Improved quality
• Zero downtime
• Increased equipment
life / utilization
• Improved safety
• Reduced energy
and emissions
• Highly sustainable
• Higher product availability
• No inventory
• Product lifecycle
management
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ENTERPRISE OPTIMIZATION &
SUSTAINABLE PRODUCTION
ENERGY,
SUSTAINABILITY, EH&S AGILE DEMAND-DRIVEN
SUPPLY CHAINS
Courtesy of Rockwell Automation : Copyright © 2010 Rockwell Automation, Inc. All rights reserved.
The commitment to comprehensive design-manufacturing life cycle
T H E
V I S I O N
Websites: https://smartmanufacturingcoalition.org
http://smartmanufacturing.com