Industrie4.0 Data&Integration PoV

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Transcription:

Industrie4.0 &Integration PoV Hüseyin Erdem YÖNTEM yontem@tr.ibm.com Watson IoT Global Headquarters Munich, Germany

IBM Industrie 4.0 Cognitive & Digitization Platform Solution, a Twin Approach Forces Paint points Focused on: => Operational Excellence => Costs Reduction => Cognitive processes & operations => Process Automation & Smarter Resources Focused on: => -driven Business Models => New Revenue Streams => Remote Control IoT Services => Intelligent assets & equipment Twin Approach Cognitive Factory & Production 4.0 A Smart Products & AfterSales Service B IBM Industrie 4.0 Cognitive & Digitization Platform Solution 2

IBM Industrie 4.0 Cognitive & Digitization Platform Solution Approach A: Cognitive Factory & Production 4.0 Weather forecasts integration Smart Industrial Lake 4.0 Focus on: Operational Excellence, Process Automation & Costs Reduction IoT Connectivity from anywhere IBM Industrie 4.0 Cognitive & Digitization Platform Solution Advanced Analytics Artificial Intelligence Machine Learning Natural Language A1 A2 A3 A4 IoT & Cloud Apps Run Time Environment, Development & Visualization + 200 Services Business Use Cases & Areas of Innovation: Smart Manufacturing Integration Service Bus & IoT Gateway to Cloud Cognitive Plant Advisor & Performance Optimizer Prescriptive Maintenance Zero unplanned Downtime Production Smart Production Process Quality Early Warning of QS Issues A5 Smart Kanban Order Process (RFID) Automation & SC Transparency Horizontal Integration Smart Connected Plants Vertical Integration Cyber Physical System A6 A7 Smart Worker eassistance for flexible Montage & i.maintenance Worker Safety Remote Smart Assistance in Risk & Danger Areas A8 Smart Energy Consumption Management Green Factory A9 Smart Digital Image & Twin of the production line & machines BlockChain A10 Smart product tracking in industrial application 4.0 & Supply Chain A11 Cognitive Robotics & Autonomous Transport Systems 4.0 3

IBM Industrie 4.0 Cognitive & Digitization Platform Solution Approach B: Smart Products & AfterSales Service Weather forecasts integration Focus on: New -based Business Models & New revenue Streams IBM Industrie 4.0 Platform & Smart Services Suite IoT & Cloud Apps Run Time Environment, Development & Visualization + 200 Services Smart Industrial Lake 4.0 IoT Connectivity from anywhere Advanced Analytics Artificial Intelligence Machine Learning Natural Language Business Use Cases & Areas of Innovation: B1 Remote Condition Monitoring-based Prescriptive Maintenance & Quality B5 Connected Vehicles & Smart Remote Fleet Management / Safety B2 CE Digital Product LifeCycle Verification Digital Twin & Memory B6 Smart Building/Home Water & Gas Leak Protection B3 Transparent & Connected Supply Chain with Risk Prediction B7 Intelligent Real-time Enterprise Asset & Energy Management B4 Smart Packaging & Consumer Interaction B8 Smart Service Technicians Advisory Assistant (Augmented Reality) 4

Cognitive Manufacturing [a data driven digital journey]

Gather the data Instrument your equipment/assets to collect data Gather already existing data Visualize the patterns Visualize your data in meaningful dashboards Start to see patterns Build with Bluemix Advance to analytics & digitization Gain insights from the data, produce models, prediction recommendations Streamline business processes Infuse with cognitive Refine models with cognitive machine learning Utilize other cognitive functions to improve engagement Visual Inspection Acoustics Analytics Asset needs to be connected, outfitted with sensor or data gathered Use the platform to quickly build dashboards for data visualization Use analytical models to predict equipment failures and provide recommendations Use speech, video, image to diagnose complex problems 6

Cognitive Factory Source Systems Business Use Case / Problem Predictive Quality Functional Test Blockage XML Product Definition BOM Sub-Assembly Detail EDI File Transfer Smart Products / Cognitive AfterSales Source Systems Service Call Records (SCR) CRM Weather Product Reviews ETL Integration Vertical Integration Business Applications / Tools + Implementation Vertical Foundation (Analytics SoR) Security / Governance API Management Horizontal Integration Layer

&Analytics Platform Sources Ingestion Analytical Repositories Discovery & Insight Information Management & Governance Security Platform

&Analytics Platform: Components Discovery & Exploration Ingestion & Integration Analytical Lake Storage Access Sources Actionable Insight Enhanced Applications Analytics In-Motion Analytics Operating System Information Management & Governance Security Platform

acquisition & application access &Analytics Platform: Capabilities Sources New sources Machine & Sensor Image & Video Enterprise Content Social Internet Sets Weather Commercial Sets Traditional sources Third-Party Transactional Application Ingestion & Integration Batch Ingestion Real-Time ingestion Change Capture Document Interpretation & Classification Quality Landing Zone Archive Historical Time Series Deep Analytics Repository Analytical Lake Storage Exploratory Analytics Repositories Sand Boxes Warehouses & Marts Analytics In-Motion Streaming Analytics Complex Event Processing Enrichment Access Self-Service Virtualization Federation APIs Discovery & Exploration Science Actionable Insight Visualization & Storyboarding Reporting, Analysis & Content Analytics Decision Management Predictive Analytics & Modeling Insight as a Service Cognitive Analytics Search Enhanced Applications Customer Experience New Business Models Financial performance Risk Fraud & Operations IT Economics System of Record In-Memory Processing Analytics Operating System Consistent Analytics Engine Simple Programming Paradigm Lifecycle Management Master & Entity Reference Information Management & Governance Security Catalog Models Quality Masking & Redaction Encryption Protection Security Intelligence On-Premise Cloud Platform Hybrid

Thank You Hüseyin Erdem YÖNTEM yontem@tr.ibm.com