Elisa Industrial IoT From data to information to knowledge

Transcription

1 Elisa Industrial IoT From data to information to knowledge

2 Elisa core strategy Build value from data Accelerate digital service businesses Improve performance through customer intimacy and operational excellence

3 KEY FIGURES 2017 TURNOVER 1.8 BILLION 2.3 M CUSTOMERS ANNUAL INVESTMENTS 250 MILLION 4700 EMPLOYEES OPERATIONS IN 15 COUNTRIES

4 Elisa Smart Factory Data is worthless without distributed real-time visibility

5 Quality is being improved with the help of analytics & machine learning Elisa has halved its number of network faults in 4 years. The quality has improved with predictive maintenance, performance optimization and automation. Machine learning makes better, more precise conclusions when it has access to larger amounts of data. 100% 75% 50% 25% 100% 75% 50% 25% 75% of faults can be resolved proactively The number of customer service contact events decreased by -15% 0% 0% Incidents Preventive measures

6 Gartner: Elisa is the forerunner in IoT Finland is the forerunner market in IoT adoption Elisa is the most potential IoT and Smart Technology partner in Finland According to Gartner, only 25% of organisations are using connected devices or smart machines globally Elisa Fujitsu CGI 12% 12% 42% Microsoft 10% whereas in Finland already 50% of organisations have adopted them IBM Siemens Accenture 4% 4% 10% 2016 Gartner, Inc. and/or its affiliates. All rights reserved

7 Elisa Smart Factory Management Traditional Approach IIoT Creates A New Layer of Digital Technology ISA-95 L4 L3 L2 L1 7 Business Systems (ERP, SCM, PLM) Governance & planning Production Execution (MES / MOM) Process Monitoring (HMI-SCADA) Process Sensing, Manipulating (PLC) IIoT Connectivity Virtual data lake Real-time visibility Machine learning Augmented Reality 3D Factory Predictive maintenance Solutions End2end cockpit Guiding UI PLANT & CORP. MANAGEMENT MAINTENANCE QUALITY WORKERS Make better and faster decisions with real-time visibility Reduce downtime with condition monitoring & predictive analytics Improves product quality with real-time execution monitoring and quality validation Improve worker efficiency & safety with augmented reality experiences

8 Tools to optimize the plant Smart Factory Management Managing a complex entity with real-time data Human response: faster reaction Subsystem automation: less repetitive work System optimization: work smarter Incoming material logistics Outbound product logistics Sub processes optimization Process 1 Prediction model Process 2 Prediction model Process 3 Prediction model Separate models for productivity, quality and uptime Plant process optimization Simulation model for bottleneck identification and elimination Anomaly detection at multiple levels; establish golden operation benchmarks 8

9 Case examples 9

10 Case: E4TC DFA in RWTH Aachen 10

11 Industrie 4.0 Maturity Index Managing the Digital Transformation of Companies 11

12 Case: E4TC DFA in RWTH Aachen Data from different systems PSI Penta (ERP) Ubisense asset & assembly line status tracking Klauke Smart tools Welding Robot Bossard (SmartBins inventory tracking) Trumpf TruBend (metal bending) Trumpf TruLaser (laser cutting) Gebhardt automated warehouse Automated Tube/Pipe Saw Hundreds of data streams Real time Data Visualisation in 3D 12

13 Case: E4TC DFA in RWTH Aachen 13

14 Case: E4TC elab in RWTH Aachen 14

15 Case: Danfoss Power Electronics 15

16 Case: Danfoss Power Electronics 16

17 Case: Danfoss Power Electronics 17

18 Case: Danfoss Power Electronics 18

19 Case: Sandvik Assembly Plant Overview

20 Case: Procter & Gamble e2e Cockpit

21 Factory Dashboards, Inbound Line - Outbound

22 Elisa Smart Factory Bringing clarity into complexity of process management and plant automation THE PROBLEM Traditional factories are made up of machines, equipment and systems that produce valuable data. Typically manufacturers can t utilize the data because the systems are siloed. Thus the operational efficiency, competitiveness and the quality of the production is not optimal. THE PROCESS THE SOLUTION Elisa Smart Factory collects all relevant data from machines, devices and systems into one virtual data lake. With real-time holistic view of operations we help to make better and faster decisions, reduce downtime, improve product quality as well as worker efficiency and safety. 1. CONNECT AND UNDERSTAND DATA Integrate data and define models & KPIs 2. VISUALIZE THE DATA Real-time role-based dashboards 3D view into equipment and processes THE CONCRETE RESULTS 3. ACT ON THE DATA Real-time alerts Automation through analyzed data Better and faster decisions 5-10% Reduction in unplanned downtime 91% Accuracy predicting failures 5-8% Improvement in productivity 10-15% Yield improvement 2-5% Increased OEE

23 Thank you