Transcription
How to Start Your Journey toData-Driven Manufacturing5 Steps to theSuccessfulImplementation ofSmart ManufacturingFirst Webinar in theSeries – “Prepare”Welcome!If you have questions duringtoday’s presentation, pleasesubmit them using the“question” button.You may also email yourquestions torearles@teamneo.org.Questions will be addressedduring the Q&A session at theend of the presentation.
Introduction of the Webinar SeriesJay Foran – Senior VP Industry & Innovation for Team NEO Overview of Smart Manufacturing Cluster Overview of webinar serieso Each webinar builds on the first one;o Each webinar includes content from and is presented by a partnering pair ofManufacturer and Solution Provider;o The progressive webinars are presented at the end of each week for starting on June5;o Emphasis will be on the operational excellence , improved efficiency and profitability ofSME Manufacturers;o Concepts that help the SME Manufacturer address the influences of Covid-19 will behighlighted at each step of the Journey.2
“Prepare” Webinar OverviewRick Earles – Senior Director Industry & Innovation at Team NEOWhere we are in the JourneyMake business decisions based on data analytics tocontinuously improve productivity, profitability, and efficiencyEvaluate metrics and determine key performanceindicators (KPIs) that require optimizationReceive Real-Time data on all levels of the operations andenable sharing of insightsEnsure production-critical machines (old and new) are sharingtheir data on the corporate networkEstablish a high-level understanding of data-driven manufacturing(DDM) and identify applications where it can improve your type ofbusinessToday’sPresentationPresentedon June 53
“Prepare” Webinar OverviewRick Earles – Senior Director Industry & Innovation at Team NEO Prepare:Establish a high level understanding of data-driven manufacturing (DDM)and identify applications where it can improve your type of businessoUse Manufacturing Speak to Convey the Concepts;oPopular Applications for DDM – Expectations for Improved Business Performance andEfficiency;oThe Organization’s Cultural Make-up;oThe New Normal – Addressing the Impact of COVID-19 on the Production;oFunding Resources/Models;oSelecting a Solution Provider to Guide Manufacturer Through the Journey.4
“Prepare” Webinar Overview – cont.Rick Earles – Senior Director Industry & Innovation at Team NEO Agenda:oIntroductions; Mark Burdis: Senior Industrial Physicist at The Technology House - a Manufacturer withexpertise in 3d printed parts, injection molded parts and precision mechanical parts forthe industrial aerospace, medical and military markets. Kevin Jones: President of Ectobox – Solution Provider that specializes in the Internetof Things (IoT) solutions for growing, data-driven businesses and customized softwareconsulting and development,.oManufacturers’ Use Case and “Prepare” for Data Driven ManufacturingJourney; (both Mark and Kevin will have an interactive discussion)oQuestion and Answers5
The Technology House Product engineering, CAD/CAM, product development, and rapid prototyping Production manufacturing: custom plastic, urethane, and metal mechanicalcomponents Integrated, all-under-one-roof approach to design, prototyping, and production Very fast and cost-effective Concept to Market Medical, aerospace, defense, industrial, energy, and consumer productsmarkets6
DDM Motivations Downtime and machineavailability Work In Process On-Time Delivery Production Throughput Scrap / Rework Visibility on plant floor data Cycle Times Data analysis and RootCause Analysis Setup and change-overs And more COVID social distancing Inventory Production Capacity7
Applications and OutcomesReduce MachineOutages:15% to 90%IncreaseoverallThroughput by10% to 60%Reduce Scrap/ Rework:10% to 50%ImproveLabor Rates10% to 30%Reduction inLost TimeImproveCycleTimes15% to 90%ReduceAccidents andNear Misses:10% to 80%
Data Driven ManufacturingManufacturingData Driven Culture IoTData Driven Manufacturing “The truth is that most productivity gains [ ] are much more likely tocome from data-driven manufacturing analytics, run-of-the-millcontinuous improvement, applied Lean manufacturing techniques, andgood old fashion automation that increases capacity and throughput.” –Bryan Sapot, SensrTrx9
Prepare1. Select Solution Provider2. Establish Expectations3. Assess Roadmap4. Plan Pilot Project10
Prepare: Select Solution Provider1. Select Solution Provider2. Establish Expectations3. Assess Roadmap4. Plan Pilot Project11
Prepare: Select Solution Provider ExpertiseoooManufacturing (not only a softwarecompany)Software & DataMachine connectivity ProductsoooDDM / IIoT platforms (options)Machine connectivity softwaretoolsSensors, gateways ServicesoooMachine connectivity (legacy, new,humans)Networking/IT for OT and ITnetwork (coordinate, execute)Implementation (put software ng On-going MaintenanceooUse of / Value Gained fromPlatformGateways, Machine Connectivity ApproachoooooCognizant of company cultureincluding Data DrivenSystematic and ConsistentStrong project planningCommunicates well and frequentlyHistory of success12
Prepare: Establish Expectations1. Select Solution Provider2. Establish Expectations3. Assess Roadmap4. Plan Pilot Project13
Prepare: Establish ExpectationsSolution Providers Job – Establish Expectations1. Challenges: Understand plant floor challenges and plans, set context2. Knowledge: Data Driven Manufacturing3. Are of the Possible: What’s possible, be realistic, no special terminology4. Culture: Understand Culture of People and Data Driven14
Prepare: Assess Roadmap1. Select Solution Provider2. Establish Expectations3. Assess Roadmap4. Plan Pilot Project15
Prepare: Assess RoadmapStage 1Stage 21. Company objectives1. Company discuss w/o solution2. Plant tourprovider3. Value stream mapStage 34. Business challenges1. Update prioritized challenges5. Value/ROI of challenges6. Challenges prioritized (grid)2. Select pilot project3. Roadmap (Journey)16
Prepare: Plan Pilot Project1. Select Solution Provider2. Establish Expectations3. Assess Roadmap4. Plan Pilot Project17
Prepare: Plan Pilot ProjectPlan the Pilot ProjectPlanningImplementation1. Business Challenge2. Business Case with Hypothesis3. Information4. Data5. Technology18
Are We Ready?Checklist for Pilot / PoV readiness Production practices Data readiness and data driven culture Machine data availability Enterprise data availability Technology and security Manufacturing current and future states accurately understood Roadmap defined and agreed upon Project charter, plan, design documents approved19
FundingFunding Options All up front Upfront and on-going On-going onlyFunding sources include Manufacturer Service/product provider Banks Public sources like economic development organizations20
In Closing If you have any other questions, please contact Rick Earles at rearles@teamneo.org Recommended Readingo Keys to Success in a Data Driven Manufacturing / IIoT projecto 4 Steps to IIoT / Manufacturing Analytics Successo Not All IIoT Platforms are Created Equal – Gerhard Greef, Control Engineering Magazine, August 2019 Recommended Viewingo Overview of Manufacturing Analytics and SensrTrx Recommended Resourceso A 6-Step Guide to Implementing Industrial Internet of Things (IIoT) in Manufacturingo For OEMs Only: IoT Inc., Bruce Sinclair (book) You will receive a follow-up email within 24-48 hours with a link to the PowerPoint presentation, webinarrecording and additional resources. On behalf of the Smart Manufacturing Cluster and our presenters, thank you for joining us today, and have agreat rest of your day!21
ContactTeam NEORick EarlesSenior Director Industry & Innovation216.363.6888rearles@teamneo.orgEctobox, Inc.Kevin JonesCEO412.923.3083kevin.jones@ectobox.com
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