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Digital Manufacturing Enterprise Testbed:
Making the Digital Enterprise Real
purdue.edu/in-mac
Digital Manufacturing Testbed: Rationale
2
Barriers
• Complexity to Integrate Across
Digital Platforms
• Product Requirements
• Product Design
• Process Design
• Supply Chain (tracking +
fulfillment)
• Service and Sustainment
• Sunk Cost Trap (technical
capacity of installed assets)
• Skill Gap (technical & human)
Causes
• Technical Knowledge
• In-House Know How
• Adoption Risk / Aversion
• Technologies + Methods
• Time (staff and production)
• Business Case to Invest
• Captive Asset Base
• Reference (benefits/cost)
• Trusted, Non-Biased Advice
Effects
• Long Lead Time
• Production Inefficiencies
• Sub-Optimal Supply Chain
• Added Steps, Lost Time
• Erosion of Competitiveness
• Individual Companies
• Supply Chains
• Communities
• Intellectual Property Risks
Remedies
• Comprehensive Engineering,
Manufacturing and Supply
Chain Proving Ground
• Leadership in Discovery
• Collaborative Environment
• Accessible Space
• Validate and Demonstrate
• Proof-of-Concept / Pilot
• High TRL, Adoption Ready
• Disseminate Knowledge
• In-House and On-Site
“Manufacturers Need to Adopt Innovative Ways to do More with Less”
purdue.edu/in-mac
Smart Manufacturing Proving Ground
3
Address Challenges for Sustaining Competitive Advantage
Quality, Due Date Precision, Production Cost and Yield, Responsiveness
Unscheduled Downtime, Cost / Resource Control
Supply Chain Efficiency, Risk Mitigation, Workforce Readiness Sensors
Network
Data
Analytics
Machine
Learning
Decision
Making
Workforce
“Optimize digital information flow between and across the enterprise
to accelerate the transition to Industry 4.0”
Demonstrate
• Showcase New Methods, the “Art of the Possible”
• Validate Smart Technologies and Applications
• Modernize Manufacturers and their Supply Chain
Disseminate
• Product and Process R&D
• Robust Digital Enterprise Connectivity
• Next-Generation Workforce Development
• Active Translation Service, with MEP
• Support Innovation and Industry Growth
Discover
• Controlled, Integrative Enterprise Platform
• Overcome Barriers to Digital Information
Connectivity
• Generate Preliminary Data for Federal Grants
• Develop Content for Demonstration
Showcase and Education Programs
Impacts
More Modern, More Capable Manufacturers and Supply Chain
Stronger Workforce, More Attractive Industry and Communities
purdue.edu/in-mac
Facets of Success and Launch Overview
4
• Accessibility and Use
• Grants and Recharge Fees
• Products of Value
Prepare Manufacturers and their Workforce to:
Address Digital Information and Connectivity Barriers
Evaluate Architectures, Tools, Methods and Costs to Optimize Approach
Receive + Automatically Translate Digital Product
Specifications and Design Systems into Machine Instructions
Provide Customers Real-Time Production Status and
Quality Trends During Fulfillment
Automatically Monitor Input Costs and Workflow
Anticipate and Mitigate Unplanned Downtime
Leverage Digital Technologies to Human-Proof Processes
Automatically Monitor Supply Chain
Additional Benefits:
Improve New Product Introduction Time
Improve Accuracy and Decision-Making, Minimize Human Intervention
Tighten Relationships with Customers and Suppliers
Reduce Lead Times from Product Conception to Production
Reduce Cost of Documentation and Compliance
Optimize Product Execution (on-time and on-cost)
Reduce Operating Costs (nimbleness to optimize asset
utilization and delivery times)
Improve Product Quality and Process Uniformity
• Discovery and Demonstration
• Seminars + Technical Services
• Innovation and Prototyping
• Customer-Facing Brand
• Promotion and Messaging
• Strategic Alignment and Outreach
• Site, Tooling, Hardware + Software
• Configurations
• Adaptability
purdue.edu/in-mac
Scope of Industry
and Regional Engagement
5
Technical Leadership Centers:
Manufacturing Design Lab (MD Lab)
Digital Enterprise Center (formerly PLM Center)
Dauch Center for the Management of Manufacturing Enterprises (DCMME)
Composites Manufacturing and Simulations Center (CMSC)
Purdue Discovery Park (>25 Centers and Institutes, dozens of members)
Regional Initiatives and Workforce Development:
Wabash Heartland Innovation Network (WHIN)
200 Manufacturers in 10-county region, backed by $40M grant
Leader in Advancing Smart Manufacturing Competencies and Pathways
Thousands of K-12 participants in programs and activities
Dozens of School Districts and Educators
Innovation Accelerators:
Purdue Research Park (Innovation and Entrepreneurship Hubs)
Purdue Aerospace District and WestGate at Crane NSWC
Purdue Foundry and Elevate Ventures
purdue.edu/in-mac
Shop Entry
Lobby
PPE&
Eyewash
Bend, Cut, Join, Finish Additive Manufacture
Sub
Assembly
Flammable Storage
PPE&
Eyewash
Composite
Materials
and Forming
Shop Entry
StorageFlammable
Line 1
Line 2
Line 3
Plant / Factory
windowwindowwindowwindowwindow
Subtractive
Machining
Metrology
Tier1supplier
CompanySite
VALUE CHAIN &
SUPPLY CHAIN
Infrastructure Overview
6
2018
• Benchmark other Testbed models
• Interview Dozens of Manufacturers
• Design and Plan Core Building Site
• University Design Review, with PPI
“Smart and Connected Factory”
• Alternate, Low-Cost, Rapid Option
• IMI Final Design, Registration, Bid
2019
• MD Lab, 30-January 2019 Opening
• Expansion Project Q1-Q2
• Launch June (est)
• Further Expand Capabilities, Q3-Q4+
• First Workshop, Q4 2019 (~October)
Jan ‘19 Feb ‘19 Mar ‘19 Apr ‘19 May ‘19 Jun ‘19 Jul ‘19 Aug ‘19 Sep ‘19 Oct ‘19
Infrastructure Highlights
• Jan: COMPOSITES MATERIALS and FORMING (MD Lab), to launch 30-January 2019
• Construction Bids (receive); Fully Launch Expansion Project
• SITE NECESSITIES INCLUDE: Integrative MES, Subtractive Tooling (basic), Assembly Area, Metrology (basic), Rapid Prototype (basic)
• Feb – Mar: Finalize Scope and Specifications for Equipment
• Apr – May: Finish Install
• Jun – Jul: Occupy + Commission
Adaptable Configurations
Shop Entry
Lobby
PPE&
Eyewash
Metrology
Bend, Cut, Join, Finish Additive Manufacture
Flammable Storage
PPE&
Eyewash
Shop Entry to IMI (existing)
StorageFlammable
Single Unit
Production
Cell
Production Line
windowwindowwindowwindowwindow
SUPPLY CHAIN
Tier2supplier
Tier1supplier
CompanySite
Subtractive
Machining
Sub
Assembly
Composite
Materials
and Forming
Shop Entry
Lobby
PPE&
Eyewash
Metrology
Bend, Cut, Join, Finish Additive Manufacture
Flammable Storage
PPE&
Eyewash
Shop Entry to IMI (existing)
StorageFlammable
Single Unit
Production
Cell
Production Line
windowwindowwindowwindowwindow
SUPPLY CHAIN
Tier2supplier
Tier1supplier
CompanySite
Subtractive
Machining
Sub
Assembly
Composite
Materials
and Forming
Physical Capabilities
• Composite Materials and Forming
• Subtractive Machining
• Automation, Sub Assembly and Final Assembly
• Metrology
• Adaptable Configurations and Work Environments
• Material Flows: Work in Process and Warehousing
• Rapid Product + Process Development, Prototyping
• Supply Chain Integration
Shop Entry
Lobby
PPE&
Eyewash
Metrology
Bend, Cut, Join, Finish Additive Manufacture
Flammable Storage
PPE&
Eyewash
Shop Entry to IMI (existing)
StorageFlammable
Single Unit
Production
Cell
Production Line
windowwindowwindowwindowwindow
SUPPLY CHAIN
Tier2supplier
Tier1supplier
CompanySite
Subtractive
Machining
Sub
Assembly
Composite
Materials
and Forming
purdue.edu/in-mac
Digital Manufacturing Testbed: Will Address
Industry 4.0
Automation and Data Exchange
Integration of Physical and
Cyberphysical
Ubiquitous Interconnectivity
Internet of Things
Sensors, Platforms, Architecture
Prevalence of Low-Cost Information
Analytics  Insights
Big Data and Deep Analytics
Manage and Leverage Information
Core Capabilities
Production Agility
Workforce Competence
Equipment Maintenance
Competitiveness
Production Cost & Yield
Quality Assurance
Due Date Precision
Operational Performance (line, plant)
Timely, In-Shift Information
Cycle time, Flow / Throughput, Delivery
Adaptability, Resilience
Fulfillment, Change Orders, Job Changes
Human Factors
Quality and Acceptance
Leverage Information (enterprise)
Accessible Insights “eliminate paper”
Fiscal Control
Inventory, Spare Parts, Shipping, Receiving
Cost Accounting (materials/methods, labor, utilities)
7
Trends Value Drivers Industry Needs
purdue.edu/in-mac
Testbed Use Case
Develop
Knowledge
Component Design
and Manufacture
Demonstration
Systems Design: Scale
for Efficiency & Speed
Supply Chain: End to
End Enterprise
Optimize Quality and
Productivity
Workforce
Development
• PHYSICAL | metrology (contact
+ non-contact), characterization,
disassembly
• DIGITAL | compare model to
actual
• COST MODELING | materials
selection, manufacturing
methods
Validate
• MATERIALS SELECTION
• COMPONENT SIMULATION
• DESIGN for MANUFACTURE
• MANUFACTURING METHOD
• BETA TESTING, PILOT RUNS
• TECHNICAL REFINEMENT
• OPERATIONS + MAINTENANCE
Prototype +
Develop
• APPLICATION of DIGITAL TWIN
| optimal interoperability
throughout enterprise
• PRODUCT DEFINITION | 3D
model, manufacturing variability
• DATA INTEGRITY | ubiquity,
secure / appropriate access,
computational efficiency
Product Lifecycle
Management
• DATA ACQUISITION + SENSORS
• INFORMATION MANAGEMENT
| AI, IoT, deep learning
• PREDICTIVE MAINTENANCE
• ENTERPRISE STATILITY &
CYBERSECURITY | line, plant
(boundary layer / edge), supply
chain, value chain, global net
Operations Mgmt.,
Distribution,
Logistics
• PRODUCT LIFECYCLE
MANAGEMENT METHODOLOGY
• INDUSTRY 4.0 | methods,
architecture, systems integration
• INDUSTRIAL ENGINEERING
• IoT APPLICATIONS / CODING
• LEVERAGING IoT and BIG DATA
(mechatronics, maintenance,
operations management)
Short Courses
(seminars, badges,
certificates, CEUs)
what
how?
why?
examples
“Optimize digital information flow between across the enterprise
to accelerate the transition to Industry 4.0”
8
purdue.edu/in-mac
• Expertise to address chronic
manufacturing challenges
• Outreach to stakeholders across Indiana
• Deliver technical solutions throughout
Indiana, in partnership with MEP
• Lead portal for workforce development
and research
• Incumbent workforce education
• Manufacturing talent pipeline , K-16
• Accessible, interconnected college to
university pathways
• Courses and instructional development in
areas of present and emerging demand
• Partnership with professional societies
Leverage Institutional Strengths to
Build a Stronger, More Capable Manufacturing Ecosystem
Digital Manufacturing Enterprise Testbed
• Research to address digital information connectivity
barriers to overcome chronic Industry challenges
• Demonstration of new technologies
• Next generation workforce development
• Product scaling expertise and capacity for Indiana start-ups
and growing enterprises
• Research consortia with Indiana manufacturers
• Develop methods and tools to solve imperative
manufacturing challenges
• Dissemination channels for technology solutions
and education programs
• Lead portal from Industry for technical support,
workforce development and research

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Digital Manufacturing Testbed: Making Industry 4.0 Real

  • 1. Digital Manufacturing Enterprise Testbed: Making the Digital Enterprise Real
  • 2. purdue.edu/in-mac Digital Manufacturing Testbed: Rationale 2 Barriers • Complexity to Integrate Across Digital Platforms • Product Requirements • Product Design • Process Design • Supply Chain (tracking + fulfillment) • Service and Sustainment • Sunk Cost Trap (technical capacity of installed assets) • Skill Gap (technical & human) Causes • Technical Knowledge • In-House Know How • Adoption Risk / Aversion • Technologies + Methods • Time (staff and production) • Business Case to Invest • Captive Asset Base • Reference (benefits/cost) • Trusted, Non-Biased Advice Effects • Long Lead Time • Production Inefficiencies • Sub-Optimal Supply Chain • Added Steps, Lost Time • Erosion of Competitiveness • Individual Companies • Supply Chains • Communities • Intellectual Property Risks Remedies • Comprehensive Engineering, Manufacturing and Supply Chain Proving Ground • Leadership in Discovery • Collaborative Environment • Accessible Space • Validate and Demonstrate • Proof-of-Concept / Pilot • High TRL, Adoption Ready • Disseminate Knowledge • In-House and On-Site “Manufacturers Need to Adopt Innovative Ways to do More with Less”
  • 3. purdue.edu/in-mac Smart Manufacturing Proving Ground 3 Address Challenges for Sustaining Competitive Advantage Quality, Due Date Precision, Production Cost and Yield, Responsiveness Unscheduled Downtime, Cost / Resource Control Supply Chain Efficiency, Risk Mitigation, Workforce Readiness Sensors Network Data Analytics Machine Learning Decision Making Workforce “Optimize digital information flow between and across the enterprise to accelerate the transition to Industry 4.0” Demonstrate • Showcase New Methods, the “Art of the Possible” • Validate Smart Technologies and Applications • Modernize Manufacturers and their Supply Chain Disseminate • Product and Process R&D • Robust Digital Enterprise Connectivity • Next-Generation Workforce Development • Active Translation Service, with MEP • Support Innovation and Industry Growth Discover • Controlled, Integrative Enterprise Platform • Overcome Barriers to Digital Information Connectivity • Generate Preliminary Data for Federal Grants • Develop Content for Demonstration Showcase and Education Programs Impacts More Modern, More Capable Manufacturers and Supply Chain Stronger Workforce, More Attractive Industry and Communities
  • 4. purdue.edu/in-mac Facets of Success and Launch Overview 4 • Accessibility and Use • Grants and Recharge Fees • Products of Value Prepare Manufacturers and their Workforce to: Address Digital Information and Connectivity Barriers Evaluate Architectures, Tools, Methods and Costs to Optimize Approach Receive + Automatically Translate Digital Product Specifications and Design Systems into Machine Instructions Provide Customers Real-Time Production Status and Quality Trends During Fulfillment Automatically Monitor Input Costs and Workflow Anticipate and Mitigate Unplanned Downtime Leverage Digital Technologies to Human-Proof Processes Automatically Monitor Supply Chain Additional Benefits: Improve New Product Introduction Time Improve Accuracy and Decision-Making, Minimize Human Intervention Tighten Relationships with Customers and Suppliers Reduce Lead Times from Product Conception to Production Reduce Cost of Documentation and Compliance Optimize Product Execution (on-time and on-cost) Reduce Operating Costs (nimbleness to optimize asset utilization and delivery times) Improve Product Quality and Process Uniformity • Discovery and Demonstration • Seminars + Technical Services • Innovation and Prototyping • Customer-Facing Brand • Promotion and Messaging • Strategic Alignment and Outreach • Site, Tooling, Hardware + Software • Configurations • Adaptability
  • 5. purdue.edu/in-mac Scope of Industry and Regional Engagement 5 Technical Leadership Centers: Manufacturing Design Lab (MD Lab) Digital Enterprise Center (formerly PLM Center) Dauch Center for the Management of Manufacturing Enterprises (DCMME) Composites Manufacturing and Simulations Center (CMSC) Purdue Discovery Park (>25 Centers and Institutes, dozens of members) Regional Initiatives and Workforce Development: Wabash Heartland Innovation Network (WHIN) 200 Manufacturers in 10-county region, backed by $40M grant Leader in Advancing Smart Manufacturing Competencies and Pathways Thousands of K-12 participants in programs and activities Dozens of School Districts and Educators Innovation Accelerators: Purdue Research Park (Innovation and Entrepreneurship Hubs) Purdue Aerospace District and WestGate at Crane NSWC Purdue Foundry and Elevate Ventures
  • 6. purdue.edu/in-mac Shop Entry Lobby PPE& Eyewash Bend, Cut, Join, Finish Additive Manufacture Sub Assembly Flammable Storage PPE& Eyewash Composite Materials and Forming Shop Entry StorageFlammable Line 1 Line 2 Line 3 Plant / Factory windowwindowwindowwindowwindow Subtractive Machining Metrology Tier1supplier CompanySite VALUE CHAIN & SUPPLY CHAIN Infrastructure Overview 6 2018 • Benchmark other Testbed models • Interview Dozens of Manufacturers • Design and Plan Core Building Site • University Design Review, with PPI “Smart and Connected Factory” • Alternate, Low-Cost, Rapid Option • IMI Final Design, Registration, Bid 2019 • MD Lab, 30-January 2019 Opening • Expansion Project Q1-Q2 • Launch June (est) • Further Expand Capabilities, Q3-Q4+ • First Workshop, Q4 2019 (~October) Jan ‘19 Feb ‘19 Mar ‘19 Apr ‘19 May ‘19 Jun ‘19 Jul ‘19 Aug ‘19 Sep ‘19 Oct ‘19 Infrastructure Highlights • Jan: COMPOSITES MATERIALS and FORMING (MD Lab), to launch 30-January 2019 • Construction Bids (receive); Fully Launch Expansion Project • SITE NECESSITIES INCLUDE: Integrative MES, Subtractive Tooling (basic), Assembly Area, Metrology (basic), Rapid Prototype (basic) • Feb – Mar: Finalize Scope and Specifications for Equipment • Apr – May: Finish Install • Jun – Jul: Occupy + Commission Adaptable Configurations Shop Entry Lobby PPE& Eyewash Metrology Bend, Cut, Join, Finish Additive Manufacture Flammable Storage PPE& Eyewash Shop Entry to IMI (existing) StorageFlammable Single Unit Production Cell Production Line windowwindowwindowwindowwindow SUPPLY CHAIN Tier2supplier Tier1supplier CompanySite Subtractive Machining Sub Assembly Composite Materials and Forming Shop Entry Lobby PPE& Eyewash Metrology Bend, Cut, Join, Finish Additive Manufacture Flammable Storage PPE& Eyewash Shop Entry to IMI (existing) StorageFlammable Single Unit Production Cell Production Line windowwindowwindowwindowwindow SUPPLY CHAIN Tier2supplier Tier1supplier CompanySite Subtractive Machining Sub Assembly Composite Materials and Forming Physical Capabilities • Composite Materials and Forming • Subtractive Machining • Automation, Sub Assembly and Final Assembly • Metrology • Adaptable Configurations and Work Environments • Material Flows: Work in Process and Warehousing • Rapid Product + Process Development, Prototyping • Supply Chain Integration Shop Entry Lobby PPE& Eyewash Metrology Bend, Cut, Join, Finish Additive Manufacture Flammable Storage PPE& Eyewash Shop Entry to IMI (existing) StorageFlammable Single Unit Production Cell Production Line windowwindowwindowwindowwindow SUPPLY CHAIN Tier2supplier Tier1supplier CompanySite Subtractive Machining Sub Assembly Composite Materials and Forming
  • 7. purdue.edu/in-mac Digital Manufacturing Testbed: Will Address Industry 4.0 Automation and Data Exchange Integration of Physical and Cyberphysical Ubiquitous Interconnectivity Internet of Things Sensors, Platforms, Architecture Prevalence of Low-Cost Information Analytics  Insights Big Data and Deep Analytics Manage and Leverage Information Core Capabilities Production Agility Workforce Competence Equipment Maintenance Competitiveness Production Cost & Yield Quality Assurance Due Date Precision Operational Performance (line, plant) Timely, In-Shift Information Cycle time, Flow / Throughput, Delivery Adaptability, Resilience Fulfillment, Change Orders, Job Changes Human Factors Quality and Acceptance Leverage Information (enterprise) Accessible Insights “eliminate paper” Fiscal Control Inventory, Spare Parts, Shipping, Receiving Cost Accounting (materials/methods, labor, utilities) 7 Trends Value Drivers Industry Needs
  • 8. purdue.edu/in-mac Testbed Use Case Develop Knowledge Component Design and Manufacture Demonstration Systems Design: Scale for Efficiency & Speed Supply Chain: End to End Enterprise Optimize Quality and Productivity Workforce Development • PHYSICAL | metrology (contact + non-contact), characterization, disassembly • DIGITAL | compare model to actual • COST MODELING | materials selection, manufacturing methods Validate • MATERIALS SELECTION • COMPONENT SIMULATION • DESIGN for MANUFACTURE • MANUFACTURING METHOD • BETA TESTING, PILOT RUNS • TECHNICAL REFINEMENT • OPERATIONS + MAINTENANCE Prototype + Develop • APPLICATION of DIGITAL TWIN | optimal interoperability throughout enterprise • PRODUCT DEFINITION | 3D model, manufacturing variability • DATA INTEGRITY | ubiquity, secure / appropriate access, computational efficiency Product Lifecycle Management • DATA ACQUISITION + SENSORS • INFORMATION MANAGEMENT | AI, IoT, deep learning • PREDICTIVE MAINTENANCE • ENTERPRISE STATILITY & CYBERSECURITY | line, plant (boundary layer / edge), supply chain, value chain, global net Operations Mgmt., Distribution, Logistics • PRODUCT LIFECYCLE MANAGEMENT METHODOLOGY • INDUSTRY 4.0 | methods, architecture, systems integration • INDUSTRIAL ENGINEERING • IoT APPLICATIONS / CODING • LEVERAGING IoT and BIG DATA (mechatronics, maintenance, operations management) Short Courses (seminars, badges, certificates, CEUs) what how? why? examples “Optimize digital information flow between across the enterprise to accelerate the transition to Industry 4.0” 8
  • 9. purdue.edu/in-mac • Expertise to address chronic manufacturing challenges • Outreach to stakeholders across Indiana • Deliver technical solutions throughout Indiana, in partnership with MEP • Lead portal for workforce development and research • Incumbent workforce education • Manufacturing talent pipeline , K-16 • Accessible, interconnected college to university pathways • Courses and instructional development in areas of present and emerging demand • Partnership with professional societies Leverage Institutional Strengths to Build a Stronger, More Capable Manufacturing Ecosystem Digital Manufacturing Enterprise Testbed • Research to address digital information connectivity barriers to overcome chronic Industry challenges • Demonstration of new technologies • Next generation workforce development • Product scaling expertise and capacity for Indiana start-ups and growing enterprises • Research consortia with Indiana manufacturers • Develop methods and tools to solve imperative manufacturing challenges • Dissemination channels for technology solutions and education programs • Lead portal from Industry for technical support, workforce development and research

Editor's Notes

  1. Smart Manufacturing Research addresses KEY challenges to SUSTAINING COMPETITVE ADVANTAGE > Quality, Due Date Precision, Production Cost and Yield, Unscheduled Downtime … Our RESEARCH PROGRAM addresses the key building blocks of Smart Manufacturing: Implementation of sensors to monitor machines and manufacturing systems Design and implementation of wireless communication systems to send information from sensors to a controller, and return instructions from a controller to machine actuators, e.g., development of middleware technologies Application of data analytics to examine, aggregate, and visualize manufacturing data to extract knowledge from big data Development of machine learning algorithms and decision-making tools to diagnose and predict machine, system, tooling, and process conditions and to actively respond to dynamic changes in the manufacturing environment Elevated workforce capabilities Our WORK in past year (dozens of manufacturer site visits, 3 in-field research projects, IT/OT interoperability, machine learning) PLUS Testbed architecture development, digital tool validation and development of key business relationships … now combine in to launch a world-class Manufacturing Proving Ground (Digital Enterprise Manufacturing Testbed || DMET) DMET will … be a site to discover, demonstrate and translate all aspects of DIGITAL INFORMATION FLOW between and across the enterprise