Industry 4.0: Real Use Cases

Transcription

1 WEBINAR: DIGITAL TRANSFORMATION Industry 4.0: Real Use Cases 1

2 Will Mittelstand survive the 2 nd Half? 2

3 Industrie 4.0: Germany s Chance! 3

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5 Was haben diese Dinge alle gemeinsam? 5

6 Thousands of Locomotives 6

7 500 Million Appliances

8 Thousands of Street Lights 8

9 300 Production Lines 9

10 500 Production Lines 10

11 100,000 Machines

12 500 Production Lines 12

13 100,000 Elevators 13

14 50,000 Coffee Machines 14

15 They were never designed to be connected to the Internet. But now they are. Extending their lifespan, creating new business value. 15

16 The Internet of Legacy Things unleashing data from old machines to guarantee business outcomes 16

17 INTERNET OF LEGACY THINGS 6 Core Benefits: 1. Real-time Health Tracking, Monitoring, Alerts 2. Reducing Failures and Downtime 3. Increasing Productivity and Efficiency 4. Increasing Equipment Lifetime 5. Increasing Positive Customer Engagement 6. Enabling new services and business models 17

18 RELAYR Problem relayr is solving Digitalization is disrupting Industrial companies. relayr Solutions help by: 1 Enabling Industrial companies 1. to build smart equipment, 2. retrofit existing infrastructure, 3. new revenues streams (from CAPEX to OPEX) 2 Helping navigate technology 1. Sensors 2. Connectivity 3. Data Visualization 4. Data Analytics 3 Focusing on existing legacy 1. Connect to legacy machines, 2. Integrate into existing systems (SAP, Oracle etc.) 3. Securely route data 18

19 Three pronged approach 19

20 3 Tools: Full-Stack, End-to-End for enabling enterprise data analysis developers DEVICE AND GATEWAY MANAGEMENT 4 IOT CLOUD PLATFORM AS A SERVICE Business Outcomes Guarantee DATA ANALYTICS & ALGORITHMS 20

21 3 Tools: Full-Stack, End-to-End for enabling enterprise data analysis end-to-end and integrated developers DEVICE AND GATEWAY MANAGEMENT 4 IOT CLOUD PLATFORM AS A SERVICE Business Outcomes Guarantee DATA ANALYTICS & ALGORITHMS 21

22 And we guarantee results 22

23 Guarantee Business Outcomes driving improvements predictably with guarantee Insure expected new business model revenues using IoT to move to an as-a-service business à insure uptime & stability Insure expected savings using relayr solution for new operational models à cost optimization metric is guaranteed Insure increased output from manufacturing plants & automated process à 10% more output; insuring uptime 23

24 Use cases 24

25 Smart Manufacturing 25

26 BOTTLING Smart Manufacturing Cloud Bottling Manufacturing; Improving OEE Increasing Productivity Combining legacy machine systems with retrofitted sensor solutions increases data intelligence and helps predict downtimes, increases output and productivity Customer: 26

27 Multi-stakeholder workshop to define desired business outcomes 27

28 BOTTLING Multi-Vendor PET Bottling Line 28

29 BOTTLING 3 Primary Needs for Bottling Companies 1. Enable bottling companies to analyze productivity In real time across multiple production lines of different ages with equipment from different manufacturers 2. Provide in-depth analysis of productivity losses machine micro outages changeover and shift change times 3. Minimize future losses by predicting outages condition-based monitoring and predictive maintenance 29

30 Sensor Placement Relayr IDK Node #1 Relayr IDK Node #2 Relayr IDK Node #4 Relayr IDK Node #3 IDK #1 Etima: - vibration - temperature - pressurized air flow - pressurized air pressure IDK #2 Aggregate 1: - vibration - 3x glue nozzle temperature sensors ##1-3 - pressurized air flow - pressurized air pressure - noise IDK #3 Aggregate 2 (see above) IDK #4 Outside of Etima: - noise - ambient temperature - ambient humidity - 2x ESD, ambient temperature, humidity Total: 27 sensors, 4 IDK nodes 30

31 Productivity Dashboard IOT Solution Architecture: Bottlers Predictive Algorithms Floor Manager App Cloud ERP On Premise relayr Vertex Gateway MES ERP One Location Siemens S7 OPC UA Modbus Blowing Filling Labelling Packing Paleting

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34 TEXTILE MACHINES Smart Manufacturing Cloud Reducing Waste; Reducing Power Costs; Reducing Labor Costs Combining legacy machine systems with retrofitted sensor solutions increases data intelligence and helps monitor performance, reduce downtimes, increases output and productivity. Measuring: CO2, O2, PH, Speed, Temp., Humidity, Conductivity. Avg. Nr of Machines 100 Data Streams / Machine 24 Customer Nr. Of Facilities 6 Data Streams 14.4k 34

35 Making 20 year old machines smarter Measuring 1. Rotation of Spindle 2. Direction of rotation 3. Power consumption per line 4. Health monitoring Primary Goals 1. Reduce Wasted Material 2. Predictive Maintenance 35

36 PHARMACEUTICAL PACKAGING MACHINES Smart Manufacturing: Reducing Waste; Reducing Downtimes; Reducing Labor Costs Combining legacy machine systems with retrofitted sensor solutions increases data intelligence and helps monitor performance, reduce downtimes, increases output and productivity. Measuring: Temp., Dust. Customer Partner: 36

37 ESPRESSO MACHINES Smart Machines Cloud Reducing Maintenance; New Services; Customer Engagement Machines 50,000 Investment $8m Datapoints 60 Data Streams 750k Connecting existing legacy coffee machines give the manufacturer and customer insights about Health, proper usage, water and power consumption, as well as machine lifetime across any generation, anywhere. Customer: Partner: 37

38 ELEVATORS Smart Machines Cloud Reducing Maintenance; Customer Engagement; New Services Connecting existing elavtors give the manufacturer and customer insights about Health, proper usage, safety, power consumption, as well as machine lifetime across any generation, anywhere. And it provides a digital platform for new revenue streams. Customer: 38

39 relayr provides an end-to-end, full stack IoT offering to enable the digitisation of industries 1. Founded Global Operations 4 countries, 7 cities 3. ~200 employees Developers on the relayr platform Only industrial IoT company capable of insuring business outcomes Backed by Leading Global Investors 39

40 relayr.io/digitize MARKETING Marketing Campaign 40

41 INDUSTRIAL IoT AND DIGITAL TRANSFORMATION Don t Wait. 41