Teollinen Internet - Anturista analyysiin

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Tapio Parviainen
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1 Arrow Global Village 14.5 Pekka Leppänen IBM Information Management Teollinen Internet - Anturista analyysiin

2 Asioita 1. Taustaksi Miksi valmistava teollisuus on muuttunut informaatiointensiiviseksi? Mikä mättää: miksi muutos ei ole lineaarinen? 2. Asiakasesimerkkejä 3. Kuinka eteenpäin

3 Our world is becoming INSTRUMENTED Our world is becoming INTERCONNECTED Virtually all things, processes and ways of working are becoming INTELLIGENT

4 Kyky koota, analysoida ja hyödyntää tietoa ratkaisee organisaation menestyksen Valmistava teollisuus muuntuu, instrumentoi, mittaa... mutta ei hyödynnä informaatiotaan Menestyksen paradoksi informaatiovaltaisilla toimialoilla Case D Case T Case V

5 University of Ontario Institute of Technology (UOIT) uses big data to improve quality of care for neonatal babies Need Performing real-time analytics using physiological data from neonatal babies Continuously correlates data from medical monitors to detect subtle changes and alert hospital staff sooner Early warning gives caregivers the ability to proactively deal with complications Benefits Detecting life threatening conditions 24 hours sooner than symptoms exhibited Lower morbidity and improved patient care

to detect subtle changes and alert hospital staff sooner Early warning gives caregivers the ability to proactively deal with

6 Major energy company uses stream data to monitor ice-flow movement in real time Need Acquire streaming data from a variety of sources to analyze atmospheric conditions in real time Collect thousands of data points per second from multiple sources Analyze massive volumes of data continuously at rates up to petabytes per day and adapt to rapidly changing data forms and types Leverage sub-millisecond latencies to respond to events and trends as they unfold Benefits Anticipates saving roughly USD 300 million per season by reducing mobilization costs associated with needing to drill a second well Estimates savings of USD 1 billion per production platform by easing design requirements, optimizing rig replacement and improving ice management operations

Leverage sub-millisecond latencies to respond to events and trends as they unfold Benefits Anticipates saving roughly USD 300 million per season by reducing mobilization costs associated

7 Operations Analysis at Scale and Speed Global machine OEM analyzes machine data in a Big Data Cloud in less than 1 day. Analyzed 2 years of machine operating data combined with publically available data such as: mine locations and production volumes, commodity prices and location algorithms Identified potential leading indicators for machine usage and, parts and service demand Loaded and transformed data, and performed iterative analysis on approximately 4 TB of data in less than 1 day.

volumes, commodity prices and location algorithms Identified potential leading indicators for machine usage and, parts and

8 Predictive maintenance for Fuel Retailer has huge potential Need Wealth of fuel dispenser sensor data but inability to understand which patterns pre-empt failure Reactive maintenance jobs cost more, inconvenience the customer, and result in lost sales Solution Analysis and pattern detection on historic data, and maintenance work orders Structured and unstructured data combined Future ambition to stream analyses Results Reduced reactive maintenance work orders by 27% Reduced total maintenance work orders by 7% Reduced total pump downtime by 83%.

pattern detection on historic data, and maintenance work orders Structured and unstructured data combined Future ambition to stream

9 Aircraft manufacturer optimises their support and aftersales business Need Repair and service for aircraft is crucial for safety and lifecycle. Just in time inventory based on historical data vs. predictive analytics. Increase close rate of extended warranty contracts to capture and keep service wallet Solution Optimised maintenance schedules. Predict repairs and associated costs Anticipate customer needs across the fleet Intelligently priced extended warranty contracts per aircraft Forecasted demand to provide just-intime inventory prediction into supply management systems.

Increase close rate of extended warranty contracts to capture and keep service wallet Solution Optimised maintenance schedules.

10 Drastic reduction in manufacturing line defects Vehicle manufacturer improves production quality Solution Pattern matching of historic sensor log data and failure mode analyses to pinpoint troublesome combinations of leading indicators Use of real-time data to monitor the production quality and more quickly identify and resolve issues Outcomes Reduced the defect rate by 50% in 16 weeks in the production of cylinder heads Increased customer satisfaction & reduced warranty claims

indicators Use of real-time data to monitor the production quality and more quickly identify and resolve issues Outcomes

11 Global aerospace manufacturer empowers staff with access to critical information Need Link to the case study Http// need to get link from ibm.com Improve operational efficiencies by providing a unified search, discovery and navigation capability to provide fast access to relevant information across the enterprise Benefits Placed 50 additional aircraft into service worldwide during the first year without a staffing increase Saved USD36 million/year in supporting the 24/7 aircraft-on-ground program Provided supply chain visibility to reduce cycle time, saving millions of dollars on critical parts deliveries

across the enterprise Benefits Placed 50 additional aircraft into service worldwide during the first year without a staffing increase Saved USD36

12 Viisi keskeistä Big Data -käyttötapausta Tiedon kokoaminen ja visualisointi Löydä, visualisoi ja ymmärrä kaikki saatavilla oleva tieto päätöksenteon pohjaksi 360 o näkymä liiketoimintaan Ymmärrä asiakkaasi integroimalla sisäinen ja ulkoinen tieto. Tietoturvan/tiedustelun laajentaminen Minimoi riski, havaitse väärinkäytös ja seuraa kyberturvallisuutta reaaliajassa Käyttötoiminnan analysointi ja optimointi Analysoi ja mallinna konedataa ja tehosta ennakoimalla operatiivista liiketoimintaa Tietovarastojen modernisointi Tietovarastojen suorituskyky- ja kustannusoptimointi

Tietoturvan/tiedustelun laajentaminen Minimoi riski, havaitse väärinkäytös ja seuraa kyberturvallisuutta reaaliajassa Käyttötoiminnan

13 Big Data -alusta Kaikki tietolähteet Streaming Data Kehittynyt analytiikka & parempi näkemys Text Data Applications Data InfoSphere Streams Reaaliaikainen analytiikka Cognitive Learn Dynamically? Prescriptive Best Outcomes? Time Series Geo Spatial Big Insights Hadoop -distribuutio Staging & arkisto DB2 BLU on Power8 In-memory/columnar/parallel Analyyttinen tietovarasto Predictive What Could Happen? Descriptive What Has Happened? Video & Image Relational Operatiivinen tietovarasto Exploration and Discovery What Do You Have? Social Network

Time Series Geo Spatial Big Insights Hadoop -distribuutio Staging & arkisto DB2 BLU on Power8 In-memory/columnar/parallel Analyyttinen

Puhdista ja korreloi tietojoukot 3 Mallinna Lopetetaan valitus. Otetaan käyttöön se tieto joka meillä on.

14 Esimerkki globaalin kalustoylläpidon tehostaminen historiatiedon pohjalta 6 Säädä, automatiso i ja laajenna 5 Ota malli liiketoiminnan avuksi 1 Kokoa sensoritiet oja työmääräykset 4 Testaa malli ja varmista vaikutus 2 Puhdista ja korreloi tietojoukot 3 Mallinna Lopetetaan valitus. Otetaan käyttöön se tieto joka meillä on. Tehdään sillä parempaa asiakaspalvelua ja tehokkaampaa ylläpitoa. Aloitetaan pienestä, edetään nopeasti ja valloitetaan maailma.

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