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1 2013 Cisco and/or its affiliates. All rights reserved. 1

2

3 2013 Cisco and/or its affiliates. All rights reserved. 3

4 The Industrial Future with Predictive Maintenance and Service Christoph Inauen VP, IoT Product Management October 14-16, 2014 Chicago, Illinois

5 Trends 2013 Cisco and/or its affiliates. All rights reserved SAP AG or an SAP affiliate company. All rights reserved Cisco and/or Its affiliates. All rights reserved. 5

6 Trends in the Industrial World Connected Devices Connected Processes Connected Business Connected City Connected Car Connected Energy Connected Flight Connected Industry 1 B B B* 2020 *Source: DFKI (2012) 2013 Cisco and/or its affiliates. All rights reserved SAP AG or an SAP affiliate company. All rights reserved Cisco and/or Its affiliates. All rights reserved. 6

7 Complexity The Four Industrial Revolutions 1 st Industrial Revolution adoption of mechanical production facilities by using water and steam power End of the 18 th century 2 nd Industrial Revolution adoption of work-sharing, mass production by using electrical power Beginning of the 20 th century 3 rd Industrial Revolution use of electronics and IT to automate the production Early 70s (20 th century) 4th Industrial Revolution based on cyber-physical systems Today *Source: DFKI (2012) 2013 Cisco and/or its affiliates. All rights reserved SAP AG or an SAP affiliate company. All rights reserved Cisco and/or Its affiliates. All rights reserved. 7

8 While the world's GDP in 2014 is expected to reach $74 trillion, the value of all assets is much higher. Maintenance spend alone is estimated at $447 billion. Managing assets efficiently makes a difference! 2013 Cisco and/or its affiliates. All rights reserved SAP AG or an SAP affiliate company. All rights reserved Cisco and/or Its affiliates. All rights reserved. 8

9 Challenges 2013 Cisco and/or its affiliates. All rights reserved SAP AG or an SAP affiliate company. All rights reserved Cisco and/or Its affiliates. All rights reserved. 9

10 Valuable Insight Lost in Disparate Information Flows & Disconnected Databases Customer Operational Data OEM Business & Product Data Dealer Unstructured Data 2014 SAP AG or an SAP affiliate company. All rights reserved Cisco and/or its affiliates. All rights reserved. 10

11 Predictive Maintenance and Service - Vision Operational Data Sensor measurements Geospatial data Diagnostics Events Performance metrics Battery status Business & Product Data Sales contract Warranty information Maintenance/ Service history Customer profile Dealer events Cost and risk Unstructured data Weather forecast Traffic information Web Blog Entries Machine health monitoring Design improvements Early warnings to prevent downtimes Prioritized maintenance and service activities Optimized warranty and spare parts mgmt Benchmarking 2014 SAP AG or an SAP affiliate company. All rights reserved Cisco and/or its affiliates. All rights reserved. 11

12 End-to-End Process for Maintenance & Service Remote Maintenance and Service Increase effectiveness IT/OT Connectivity Condition Monitoring, Remote Service Fault Pattern Recognition Machine Health Prediction SAP CS / CRM / EAM Create Maintenance or Service Order Schedule Order Execute Order Visual Support Increase efficiency 2014 SAP AG or an SAP affiliate company. All rights reserved Cisco and/or its affiliates. All rights reserved. 12

13 Predictive Maintenance and Service OEM's: Ad-hoc data mining and exploration, analyze warranty claims, determine spare part stock, optimize design and manufacturing Dealers and Service Providers: Add-on services for asset owners, optimize services delivery, maximize up-time, raise service efficiency Owners and Operators: Analyze asset behavior, minimize unplanned downtime, manage asset related risks, align between operations and maintenance, 2014 SAP AG or an SAP affiliate company. All rights reserved Cisco and/or its affiliates. All rights reserved. 13

14 Demo 2013 Cisco and/or its affiliates. All rights reserved SAP AG or an SAP affiliate company. All rights reserved Cisco and/or Its affiliates. All rights reserved. 14

15 Examples 2013 Cisco and/or its affiliates. All rights reserved SAP AG or an SAP affiliate company. All rights reserved Cisco and/or Its affiliates. All rights reserved

16 Use Case Motorcycles Adjust service intervals according real-life usage Improve reliability with predictions derived from actual riding conditions Production: use data to further improve quality 2014 SAP AG or an SAP affiliate company. All rights reserved Cisco and/or its affiliates. All rights reserved. 16

17 Use Case Water Fountains Replace water filters based on actual consumption Monitor water quality and detect issues in real-time 2014 SAP AG or an SAP affiliate company. All rights reserved Cisco and/or its affiliates. All rights reserved. 17

18 Use Case Waste Management Route optimization for servicing containers Detect hazardous substances 2014 SAP AG or an SAP affiliate company. All rights reserved Cisco and/or its affiliates. All rights reserved. 18

19 Use Case Building Construction Change the business model and offer products in a service model based on actual usage Apply predictive maintenance capabilities to fulfill SLAs 2014 SAP AG or an SAP affiliate company. All rights reserved Cisco and/or its affiliates. All rights reserved. 19

20 Start Now! Smarter Faster The Industrial Future demands new ways in how we approach development, production & service needs. New business models require adoption of existing business processes Simpler Start small, start now! 2013 Cisco and/or its affiliates. All rights reserved SAP AG or an SAP affiliate company. All rights reserved Cisco and/or Its affiliates. All rights reserved. 20

21 Thank you Christoph Inauen VP, IoT Product Management SAP Labs SAP AG or or an an SAP SAP affiliate affiliate company. company. All rights All reserved. rights reserved Cisco and/or Its affiliates. Confidential All rights reserved.

22 Please complete the brief breakout session survey that can be found in the mobile app under "Surveys." Your input is essential in helping the IoTWF steering committee improve the quality of sessions for IoTWF If you haven t already downloaded the app, you can do so at customers.genie-connect.com/iotwf2014 on your mobile device.

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