SAP Predictive Maintenance and Service, cloud edition

Transcription

1 SAP Predictive Maintenance and Service, cloud edition Christian Baust SAP SE Product Manager for SAP Predictive Maintenance and Service, cloud edition April 08, 2015

2 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. Internal 2

3 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 3

4 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% *Source: Gartner Top 10 Tech Trends **Source: Economist Intelligence Unit The Rise of the Machines price of sensors, microprocessors & wireless technologies today vs. 4 years ago** 4

5 Dynamics Solution Overview Value and References Next Steps Service/Maintenance Operator Technician OEM Support OEM Spare parts Technician & tools Service/ Maintenance Engineer OEM Technician Real-time condition monitoring 5

6 Dynamics Solution Overview Value and References Next Steps SAP Predictive Maintenance and Service Involved parties and their contribution 3 rd Party Service Provider Installation and repair services Asset Manufacturer Asset Operator Remote Service Management New business models around the device Service Engineer Service Technician Maintenance Engineer Predictive Maintenance for critical assets SAP Predictive Maintenance and Service CRM, Customer Service Physical Asset Level Enterprise Asset Management 6

7 Dynamics Solution Overview Value and References Next Steps Bring business context to your operational data One example Increase effectiveness Effectiveness is the capability of producing a desired result Predictive Maintenance and Service Connectivity Condition Monitoring Remote Service Fault Pattern Recognition Machine Health Prediction Increase efficiency Time, effort or cost is well used for the intended task or purpose Create Maintenance or Service Order Schedule Order Execute Order on mobile device Visual Support SAP ERP Non-SAP Apps 7

8 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 SAP Predictive Maintenance and Service Maintenance Engineer Predictive Maintenance and Service Application End Customer (On site) Manufacturer (SAP Customer) Device SAP Connector Machine Integration HANA Cloud IoT Services Additional Services HANA Cloud Integration Process Integration Business Suite Systems (ERP, CRM, etc.) Device 3 rd Party Integration HANA Cloud Platform Data Processing In-Memory Engines Extended Storage Storage Hadoop Streaming HANA Big Data Platform 8

9 Dynamics Solution Overview Value and References Next Steps SAP Predictive Maintenance and Service Leverage operational insights to drive innovative new business models Sense Remotely sense operational data from equipments Monitor Analyze Predict Analyze and monitor equipment data and correlate with business information to predict future malfunctions Typical results* Act Optimize maintenance and service operations and enable new business models around the equipment 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 9

10 Dynamics Solution Overview Value and References Next Steps Predictive Maintenance and Service Capabilities Remote Condition Monitoring Vibration Analysis Business Process Integration Dashboards, Reporting & Prediction 10

11 Dynamics Solution Overview Value and References Next Steps DEMO 11

12 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 percentage of calls resolved Higher first-visit-fix rate Customer satisfaction and retention Higher service contract renewal rates Enable new innovative business models Higher overall equipment effectiveness (asset availability & performance & quality) Improve maintenance efficiency Lower maintenance costs Faster reaction to alarms and failures Higher mean time between failure Lower mean time to repair 12

13 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 data scientists build out prediction models Your developers to develop custom backend integration Predictive Maintenance and Service (PdMS) SAP HANA IoT Edition SAP HANA Cloud Platform Customer Apps SAP HANA Cloud Platform Dev Platform Your developers to develop customer specific apps Your IT department to prepare data in backend for IoT applications IoT Connector SDK Sensors and Devices Your developers to build vendor specific adapters 13

14 Dynamics Solution Overview Value and References Planned Product Roadmap SAP Predictive Maintenance and Service Next Steps Predictive Maintenance & Serv., CE Machine Management - Machine Condition Monitoring Continuous improvements Business process integration Dashboards Machine Fingerprint Complex Rules Analytics Customer Portal Today Vibration Analysis Vibration Trending Pattern Recognition & Prediction company 14

15 Executive Summary Solution Overview Value and References SAP Predictive Maintenance and Service Start now Next Steps Discover new ways of developing, manufacturing, and servicing assets to compete in the Internet-of- Things revolution. Smarter Adopt existing remote maintenance and service practices to be able to introduce new business models. Faster Start small to achieve extended business value. Simpler 2014 SAP SE or an SAP affiliate company. All rights reserved. 15

16 Dynamics Executive Summary Solution Overview Value and References Next Steps SAP Predictive Maintenance and Service Where to Find More Information Video: SAP.com: SCN: SAP SE or an SAP affiliate company. All rights reserved. 16

17 Thank you Contact information: Christian Baust Product Manager Enterprise Asset Management Dietmar-Hopp-Allee Walldorf, Germany

18 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. SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries. Please see for additional trademark information and notices. Some software products marketed by SAP SE and its distributors contain proprietary software components of other software vendors. National product specifications may vary. These materials are provided by SAP SE or an SAP affiliate company for informational purposes only, without representation or warranty of any kind, and SAP SE or its affiliated companies shall not be liable for errors or omissions with respect to the materials. The only warranties for SAP SE or SAP affiliate company products and services are those that are set forth in the express warranty statements accompanying such products and services, if any. 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. Internal 18