SAP Predictive Maintenance and Service, cloud edition Christian Baust | SAP SE Product Manager for “SAP Predictive Maintenance and Service, cloud edition” April 08, 2015 Legal disclaimer The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of SAP. This presentation is not subject to your license agreement or any other service or subscription agreement with SAP. SAP has no obligation to pursue any course of business outlined in this document or any related presentation, or to develop or release any functionality mentioned therein. This document, or any related presentation and SAP's strategy and possible future developments, products and or platforms directions and functionality are all subject to change and may be changed by SAP at any time for any reason without notice. The information in this document is not a commitment, promise or legal obligation to deliver any material, code or functionality. This document is provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement. This document is for informational purposes and may not be incorporated into a contract. SAP assumes no responsibility for errors or omissions in this document, except if such damages were caused by SAP´s willful misconduct or gross negligence. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. Readers are cautioned not to place undue reliance on these forwardlooking statements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions. © 2015 SAP SE or an SAP affiliate company. All rights reserved. Internal 2 Dynamics Solution Overview Value and References Next Steps Managing assets efficiently makes a difference! While the world's GDP is around $46.6 trillion, the value of all assets is assumed to be much higher. Maintenance spend alone comes up to $447 billion. Source: Global Framework on Maintenance and Asset Management © 2015 SAP SE or an SAP affiliate company. All rights reserved. 3 Dynamics Solution Overview Value and References Next Steps The world is getting more and more connected 50 billion devices connected by 2020* 40-50% CAGR for M2M market until 2020* -80% price of sensors, microprocessors & wireless technologies today vs. 4 years ago** *Source: Gartner – “Top 10 Tech Trends **Source: Economist Intelligence Unit – ”The Rise of the Machines” © 2015 SAP SE or an SAP affiliate company. All rights reserved. 4 Dynamics Solution Overview Value and References Next Steps Service/Maintenance … Operator Technician OEM OEM Spare parts Support Technician & tools Service/ OEM Maintenance Technician Engineer Real-time condition monitoring © 2015 SAP SE or an SAP affiliate company. All rights reserved. 5 Dynamics Solution Overview Value and References Next Steps SAP Predictive Maintenance and Service Involved parties and their contribution 3rd Party Service Provider Installation and repair services Asset Manufacturer Asset Operator Remote Service Management Predictive Maintenance for critical assets Service Technician New business models around the device Maintenance Engineer Service Engineer SAP Predictive Maintenance and Service CRM, Customer Service © 2015 SAP SE or an SAP affiliate company. All rights reserved. Physical Asset Level Enterprise Asset Management 6 Dynamics Solution Overview Value and References Next Steps Bring business context to your operational data One example Increase effectiveness Predictive Maintenance and Service Effectiveness is the capability of producing a desired result Increase efficiency Connectivity Condition Monitoring Remote Service Fault Pattern Recognition Machine Health Prediction Create Maintenance or Service Order Schedule Order Execute Order on mobile device Visual Support Time, effort or cost is well used for the intended task or purpose © 2015 SAP SE or an SAP affiliate company. All rights reserved. SAP ERP Non-SAP Apps 7 Dynamics Solution Overview Value and References Next Steps Predictive Maintenance and Service based on the IoT enabled in-memory platform-as-a-service Machine Operator Maintenance Engineer SAP Predictive Maintenance and Service Predictive Maintenance and Service Application End Customer (On site) Device Device SAP Connector Manufacturer (SAP Customer) Machine Integration HANA Cloud IoT Services Additional Services HANA Cloud Integration Process Integration Business Suite Systems (ERP, CRM , etc.) HANA Cloud Platform 3rd Party Integration Data Processing In-Memory Engines Extended Storage ∞ Storage Hadoop Streaming HANA Big Data Platform © 2015 SAP SE or an SAP affiliate company. All rights reserved. 8 Dynamics Solution Overview Value and References Next Steps SAP Predictive Maintenance and Service Leverage operational insights to drive innovative new business models Remotely sense operational data from equipments Sense Monitor Analyze Predict Act Analyze and monitor equipment data and correlate with business information to predict future malfunctions Optimize maintenance and service operations and enable new business models around the equipment Typical results* Organizations adopting preventive and predictive maintenance and service approach as compared to organizations practicing reactive maintenance and service -44% Lower unplanned downtime -17% Lower annual service and maintenance costs +28% Higher return on assets * SAP performance benchmarking © 2015 SAP SE or an SAP affiliate company. All rights reserved. 9 Dynamics Solution Overview Value and References Next Steps Predictive Maintenance and Service Capabilities Remote Condition Monitoring Vibration Analysis Business Process Integration Dashboards, Reporting & Prediction © 2015 SAP SE or an SAP affiliate company. All rights reserved. 10 Dynamics Solution Overview Value and References Next Steps DEMO © 2015 SAP SE or an SAP affiliate company. All rights reserved. 11 Dynamics Solution Overview Value and References Next Steps Predictive Maintenance and Service Delivers significant business value to asset manufacturers and operators Asset Manufacturer Asset Operator Improve service profitability with lower service costs and new revenue streams Higher overall equipment effectiveness (asset availability & performance & quality) Higher percentage of calls resolved Improve maintenance efficiency Higher first-visit-fix rate Lower maintenance costs Customer satisfaction and retention Faster reaction to alarms and failures Higher service contract renewal rates Higher mean time between failure Enable new innovative business models Lower mean time to repair © 2015 SAP SE or an SAP affiliate company. All rights reserved. 12 Dynamics Solution Overview Value and References Next Steps Extensibility Concept on HANA Cloud Platform for PdMS Your BI experts to create role based dashboards View of a customer SAP Predictive Analysis Your developers to develop custom backend integration Your IT department to prepare data in backend for IoT applications Your data scientists build out prediction models Predictive Maintenance and Service (PdMS) Customer Apps SAP HANA IoT Edition SAP HANA Cloud Platform Dev Platform Your developers to develop customer specific apps SAP HANA Cloud Platform IoT Connector SDK Sensors and Devices © 2015 SAP SE or an SAP affiliate company. All rights reserved. Your developers to build vendor specific adapters 13 Dynamics Solution Overview Value and References Next Steps Planned Product Roadmap „SAP Predictive Maintenance and Service“ Predictive Maintenance & Serv. , CE 1.0 - Machine Management - Machine Condition Monitoring Business process integration Machine Fingerprint Dashboards Complex Rules Continuous improvements Vibration Analysis Today Analytics Customer Portal Vibration Trending Pattern Recognition & Prediction company © 2015 SAP SE or an SAP affiliate company. All rights reserved. 14 Executive Summary Solution Overview Value and References Next Steps SAP Predictive Maintenance and Service Start now Discover new ways of developing, manufacturing, and servicing assets to compete in the Internet-ofThings revolution. Adopt existing remote maintenance and service practices to be able to introduce new business models. Start small to achieve extended business value. Smarter Faster Simpler © 2014 SAP SE or an SAP affiliate company. All rights reserved. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 15 Dynamics Summary Executive Solution Overview Value and References Next Steps SAP Predictive Maintenance and Service Where to Find More Information Video: https://www.youtube.com/watch?v=YbOqmd3oKf0&feature=youtu.be SAP.com: www.sap.com/iot SCN: http://scn.sap.com/community/internet-of-things © 2014 2015 SAP SE or an SAP affiliate company. All rights reserved. 16 Thank you Contact information: Christian Baust Product Manager Enterprise Asset Management Dietmar-Hopp-Allee 16 69190 Walldorf, Germany christian.baust@sap.com © 2015 SAP SE or an SAP affiliate company. All rights reserved. © 2015 SAP SE or an SAP affiliate company. All rights reserved. No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of SAP SE or an SAP affiliate company. 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Nothing herein should be construed as constituting an additional warranty. In particular, SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or any related presentation, or to develop or release any functionality mentioned therein. This document, or any related presentation, and SAP SE’s or its affiliated companies’ strategy and possible future developments, products, and/or platform directions and functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason without notice. The information in this document is not a commitment, promise, or legal obligation to deliver any material, code, or functionality. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions. © 2015 SAP SE or an SAP affiliate company. All rights reserved. Internal 18