The Analytics of Things

Transcription

1 The Analytics of Things Creating new value from industrial IoT data Christoph Hartmann SAS 8th of February 2016

2 Picture: by chensiyuan (CC BY-SA 4.0)

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4 At least, we have data

5 Survey Findings & Thoughts Expectations from IoT initiatives? Fig 1: Diverse expectations Efficiency & Cost Offering & Revenue Source: SAS IoT Impact Study, September N = 75. Multiple responses allowed. Q1: What does IoT or the 4th industrial revolution mean for your customers, your business, your competitors?

6 The IOT Promise High Velocity Complex Large IoT/BIG DATA Analytics Act Efficiencies New Value Quality of Life Early Warnings New Business Models Sense Understand Act

7 Industry 4.0 Strategy & Infrastructure TECHNOLOGY PEOPLE PROCESS

8 Sense Understand ACT Data ETL Data Storage Deploy Alerts / Reports / Decisioning Deploy IoT Data Intelligent Filter / Transform Streaming Model Execution

9 KEY TAKEAWAY People, process and technology need to work hand in hand so that IoT analytics create value. Be ready to apply analytics into the data stream where real-time action matters.

10 Process Data Analytics Monetization Value of analytics in the Manufacturing supply chain Connect customer need with R&D Perceptual Quality Real time decisions for next best offer Real time decision e.g. price, features etc. Continue / discontinue products Understand product lifecycle volume Offer capacity to WiP Stabilize and ensure equipment reliability Advanced Process Control Operational Excellence External Factors, Weather, Events Predictive Analytics & Decision Support Balance demand and supply Improve production efficiency Reduce Asset downtime Find & Fix field issues faster Right product, place & time Use consumer feedback from www Data Lake R&D History Material data Research data Forecast Economical factors Historic data Causal factors Production Sensor data Logistics data Scheduling data Quality Equipment data Testing data Supplier data Manufacturing Supply Chain Sales POS data Consumer data Channel data Aftermarket Consumer data Perceptual quality Social media

11 Quality Analytic Suite Manufacturing Analytics SAS Quality Analytic Suite Perceptual Quality Field Quality Analytics Monitor & Report Data Access Exploration Analysis Modeling Deployment Data Models Asset Performance Analytics SAP HANA Production Quality Analytics Hadoop Corrective Action Tracking Events Stream Processing Access to PI Sensors Inspection/Reports ERP MES CRM / Call Center Regulatory Environmental Etc.

12 Manufacturing Analytics Connected factory Quality Optimized Production Predictable Yield Reduced Costs Reliability Minimize Downtime Asset Efficiency Improved Planning

13 SAS Production Quality Analytics Summary of Applications With SAS, manufacturers will significantly reduce costs during the entire lifecycle of products: Shortened time to market Establishing control and reduce variation Determining process capability Shortening cycle times Improved Problem Resolution Pinpointing critical problems quickly Gaining process understanding. Performance Improvement Reducing waste and rework Improving products and processes

14 Tire manufacturer Production Quality Analytics Support Tire Production end-to-end: Mixing, Preparation, Building, Curing, Final Finish Rubber Mix Tire Building Final Quality Inspection Visual Inspection X-Ray Cord Manf. Vulcanisation Bead Manf. Finish Shipping to Factory Over- Inspection Uniformity Balance Geometry Target is to enable Engineers to drive sustainable Quality and Productivity Improvements

15 Production Quality Analytics Manufacturing Analytics Production Quality Analytics Use Harmonic Vector Analysis to find whether systematic influences on quality exist which than can be identified via Root Cause Analysis 4 rules identifying better / 6 rules identifying worse than average quality Use process optimization potential by analyzing positive rules Used Data Mining technologies can additionally be used for Root Cause Analysis for Semi-Finished Products By fixing 50% of the discovered issues, Virgin Yield improved by 3%.

16 Data Analytics platform Approachable analytics journey Mobile Office Integration Cloud ONE INTEGRATED SOLUTION FOR ALL ROLES

17 Internet of Things More on Iot Survey First movers interviews Download sas.com/iotebook

18 Thank you sas.com