Download - IBM Cognitive Manufacturing Overview Public
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From Industrie 4.0 to Cognitive Manufacturing
Thorsten SchröerDirector and Industry LeaderWatson IoT for Manufacturing
www.localmotors.com
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Our strategy
+ +
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AnalyticsCustomerEngagement Security
Powered by CognitiveIndustry SpecializationHealthcare Finance IoT
GlobalEcosystem
Content ConversationComputeCloud
Watson Platform
Data (Public, Private, Partner)
Built cloud-based industry platform
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BlockchainEdgeWeatherPredict need and improve
decision makingAnalyze data and act on it close
to the sourceShare transactions with tamper-resistant
records, transparency and trust
IoT Devices
IBM Watson IoT Platform, Business Analytics
and Cognition
Cisco Edge& Edge Analytics
Equipping you with competitive advantage and game-changing technology
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Eco-System Extending capabilities with partners
IBM IoT for Electronics
IBM IoT for Automotive
2015 2016
IBM BluemixIoT Zone
Maximo for aviation
Maximo Asset ManagementTRIRIGA Data Manager
Maximo for Oil and Gas, Service Providers, Health/Safety/Env
Platform partners
Device and network partners
Application partners
Industry solution partners
IBM IoT for Manufacturing
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The Analyst view
Source:Forresterwave– iotsoftwareplatforms4q2016 (November2016) Source:GartnerMagicQuadrantforDataSciencePlatforms
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Artificial Intelligence - IBM Watson
10>1890 Tabulating 1960 Programmable >2010 Cognitive
A Cognitive Solution =
Analytical System
Natural Language Processing(NLP)
Machine Learning/Deep Learning
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Why Cognitivein Manufacturing and Supply Chain?
Cognitive Manufacturing – Stairway to heaven
Gather the data
Visualize the patterns
Advance to analytics
Infuse with cognitive
• Instrument your equipment/assets to collect data
• Gather already existing data
• Visualize your data in meaningful dashboards
• Start to see patterns
• Gain insights from the data
• Produce models, prediction recommendations
• Enrich with data from other sources
• Refine models with cognitive machine learning
• Utilize other cognitive functions to improve engagement
Asset needs to be connected, outfitted with sensor or data gathered
Use analytical models to predict equipment failures and provide recommendations
Use the platform to quickly build dashboards for data visualization
Use speech, video, image to diagnose complex problems
IBM Watson IoT for Manufacturing
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For analytics, utilize purpose driven advanced analytics dedicated to manufacturing metrics or generate your own models with PMQ
IBM Watson IoT for Manufacturing
Manufacturing Analytics PMQ
PlantPerformanceAnalytics
MaintenanceAnalytics
QualityAnalytics
WarrantyAnalytics
• Prebuiltindustrymodels• Rolespecificuserinterface
• Provenalgorithms• Cognitiveextension(future)
• Packagedanalyticstools
• Custombuildandexecutemodels
• BIcustomizableinterface
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IBM Prescriptive Quality on Cloud
Earlier, more definitive detection of quality problems in comparison to traditional statistical process control methods.
Reduce scrap and re-workImprove process throughput
Lower supply and material costsIncrease production yield
ibm.co/pqoncloud-trial
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DifferentiatingelementsofWatsonIoT technologyandecosystem
Partnered InnovationOpen ecosystemDevice partnershipsEmbedded securityEdge Analytics
Data IntegrationWeather dataSocial dataApplication dataPlatform of platforms
Advanced AnalyticsPredictive AnalyticsReal-time AnalyticsData MiningOptimization
Cognitive TechnologyNatural Language ProcessingMachine LearningTextual AnalyticsVideo/Image Analytics
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Cognitive Visual InspectorCognitive Equipment Advisor
Cognitive RoboticsCognitive Acoustic InspectorCognitive Energy OptimizerCognitive Quality Analyzer
Cognitive PlannerCognitive Resolution Room
Cognitive Supply Chain AdvisorCognitive Plant Advisor
Project Examples
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SmartFactoryKL Demonstrator 2015
Fast setup and change of manufacturing linesLotsize 1 with +ROI+ROI in high labour countryProvides and organizes the partner network
www.smartfactory-kl.de
I4.0 – Smart Factory
IBM helped an automotive manufacturer gain a far deeper understanding of the many factors that affect production quality
25% increase in the overall productivity of the cylinder-head production line
100% payback achieved within two years
50% reduction in the time required to ramp up the process to target levels
Industrie4.0&Cognitive FactoryatJohnDeereMannheimWorker Assistance
WatsonIoTPlatform
Cognitive Robot Demo
Machinelearning Text
Image
NaturalLanguage
WatsonCognitiveAnalytics
FoxbotwritescalligraphyHannoverMesse2016
Voicerecognition
DashboardshowsKPIinformation
Foxbot publishesjointsensordata
IBMPMQobservesoperationalstatistics,raisesmaintenancenotifications
MQTT
ConversationwithoperationsmanagerusingBluetoothheadset
1 2 3
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Cognitiverobotmaintenanceexample
WatsonIoTPlatform
PMQBluemix
Watsonconversation&voice
services
Images
imagescapturedusingImagingStationinproduction
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Defectscross- checkedagainstlibraryofpastimagesandtrainedalgorithmsforreuse
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Reusepreviouslytrainedalgorithmsandretraininproductiontohandlevariations
3a
Developnewimageanalyticsandtrainoversamplesetstohavehighaccuracy;Deploytoproductionasanewbasecase
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3b
Variation of past case?
Entirely new case?
Connects & Reasons
Real Time Monitor
Learning System
MachineLearningsystemcrawlsthroughlibraryandattemptstoimprovealgorithmaccuracyoverlargerdataset.
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PMQAnalyticsandreportingfordaily,weekly,pershiftreports
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COGNITIVE VISUAL INSPECTOR
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CognitiveQualityAdvisor
CognitiveSupplyChainDisruptionsAdvisor
CognitiveResolutionRoomsAdvisor
We teach Watson Supply Chain.
IBM Supply Chain Operations Group drives to become a cognitive business
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ibm.biz/cogmanufacture
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IBM’s commitment to the Internet of Things
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Collabratory Clients
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IBM Watson IoT Center
Final thought
“The biggest danger to a producer with a factory is a producer without a factory.”
Prof. Dr. Günther Schuh, RWTH Aachen