SAP Asset Intelligence Network backbone for SAP Internet of Things PUBLIC
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1 SAP Asset Intelligence Network backbone for SAP Internet of Things
2 Legal Disclaimer This presentation is not subject to your license agreement or any other agreement with SAP. SAP has no obligation to pursue any course of business outlined in this presentation or to develop or release any functionality mentioned in this presentation. This presentation and SAP's strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. 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. SAP assumes no responsibility for errors or omissions in this document, except if such damages were caused by SAP intentionally or grossly negligent. This presentation and SAP s strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. 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 2
3 The SAP Internet of Things DNA Business Process Integration Social & Collaboration Big Data Business Models Intelligently connecting People, Things and Businesses Artificial Intelligence and Machine Learning APIs & Microservices Natural Language Assets & Machines Business Applications 5
4 Solution & Innovation Portfolio Innovation Portfolio SAP Leonardo Bridge Connected Product Connected Assets Connected Fleet Connected Infrastructure Connected Markets Connected People Partner Applications Product Insights Fixed Assets Insights Mobile Asset Insights Building Insights Market Insights People and Work Goods and Equipment Manufacturing Execution Logistics Safety Construction Rural Areas People and Health Supply Networks Manufacturing Networks Logistics Networks Energy Grids Urban Areas People and Homes SAP Leonardo for Edge Computing SAP Leonardo Foundation IoT Bridge SAP Cloud Platform 6
5 Asset Management is undergoing a massive change due to individualization of products and services Secure Improve Margin through after market revenue stream Customer centricity through product analytics and observations SAP Asset Intelligence Network Provides a digital representation of all industrial equipment used in the field with secure, controllable sharing rights across business partners to enable customer insights, performance analytics & new digital services Customer Insights Performance Analytics Digital Services 7
6 SAP solution for collaborative asset management SAP Asset Intelligence Network Apps Apps for collaborative processing of service bulletins, performance improvement, and spare parts change management Combined together to deliver Content Network A cloud portal of standardized content that defines and documents equipment and models, shared and stored, for a consistent definition between business partners A secure network to connect multiple business partners for inter and intra company collaboration SAP Asset Intelligence Network 2017 SAP SE or an SAP affiliate company. All rights reserved. 8
7 SAP Asset Intelligence Network SAP Asset Intelligence Network How it looks like how it works What it looks like how it works Ease of use SAP Asset Intelligence Network is a cloud-based business network with consumer-grade user experience, seamlessly integrated with Fiori and SAP Fiori Launchpad Simple and secure onboarding For manufacturers, operators, EPCs and service providers Powerful business content and analytics Introduce a digital twin to represent each physical machine or product along it s asset lifecycle Standardize equipment management through asset master data and spare-parts information available for update from the network Streamline maintenance through access to the latest documents and service bulletins on maintenance strategies Achieve collaborative design and execution for complex installation or maintenance procedures 9
8 Leverage manufacturer information along the Lifecycle 3D Data, Service Instructions & Announcements Digital Twin for Business New digital services like Firmware updates, recalls, spare parts updates etc. require a completely different approach to asset management: Every equipment has one unique identifier and one master record accessible by all relevant parties throughout it s lifecycle The Digital Twin brings together the Sensor information (asset health) Installation and service information Sales and contextual information 10
9 Performance Analytics Improve product performance allowing customers to benefit from asset insights Manage assets as a service or redesign them based on performance Institute collaborative network services for managing equipment, collecting asset performance analysis and feedback and fostering usage-based design enhancement Improved recall capabilities based on equipment status and lifecycle information Inform customers about major updates using announcements and 3D instructions Embedded analytics for models and equipment Usage information & feedback for product / service improvement Closed-loop product observation along the complete asset lifecycle 11
10 Get insights into the customer s installed base Leverage the installed base in the business network to grow the aftermarket business OPERATOR MANUFACTURER BUSINESS VALUE Usage information Maintain model (equipment) information once Operator #1 Send & receive data Specifications & drawings Get transparency into equipment usage Improve warranty and recall processes Operator #2 Manufacturer Specific customer commerce Improve customer relationships One solution for many customers Operator #n Recommendation s & updates Product & service feedback Basis for collaboration and future business models Offer additional services and revenue Increase equipment portal reach Increase customer lifetime value Single source of truth / system of engagement Improve service & maintenance efficiency 12
11 Digital Services Win in the new digital market space by driving advanced business models into the customer base 5. Operations Maintenance services Calibration services Performance as a service Engineering Engineering services 3D model conversion Product improvements 4. Commissioning Commissioning services Installation Machine fingerprint Installation certification 2. Procurement Digital Twin as USP E-Procurement services Sell value added services New business models Increase number of net-new customers 13
12 and finally rethink Business Processes Commissioning & handover Visual audit & name plate recognition Specifications & visual work instructions Asset performance & strategy mgmt. Equipment register Service bulletins, recalls & warranty Business partner network services Private area Machine records Manage Equipment as a Service Model database Quality, inspection & calibration results sharing Spare parts management Business context for predictive maintenance Performance Improvement (product & process) Analyse equipment performance 15
13 Industrial IOT in a box In Construction At SPS Drives Process Automation - Tour of IoT Wall 16
14 End to end scenario As designed As built As maintained Cont. Improvement Connected Products Manufacturing Execution Fixed Assets Insights Digital Services Engineering BoM Serialized Structure Functional Locations Product Observation Material master Configuration Ticket Federation Firmware Update Drawings and Specifications Equipment Onboarding Spare Parts Ordering Equipment as a Service Manufacturer Operator New Business Models Product Design Network SAP Asset Intelligence Network + SAP Hybris Cloud for Customer This presentation and SAP s strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. 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 17
15 Integration Scenarios Customer Portal & HCP extension capabilities Customer Portal & HCP extension capabilities SAP provides a standard role-based personal dashboard acting like an equipment portal providing insights into the frequently viewed equipment, favorites and suggested tasks. Customers can easily enhance and adjust this personal dashboard using the extension capabilities of HANA Cloud Portal and SAP Fiori Launchpad. 18
16 Integration Scenarios Integration with Enterprise Asset Management The integration options are available via notes : Business Networks Operator Display of model information in custom EAM side panel Creation of model attachments in EAM for linked EAM objects Pre-requisites for both of the above capabilities is the implementation of the following notes: FIORI Asset Intelligence Network (AIN) Enterprise Asset Management (EAM) Functional Location Equipment Model Reference Notification Work Order Linking of EAM objects to AIN Models (Note ) AIN Authentication (Note ) Equipment Model REST API AIN Sidepanel REST API 19
17 Connect with Sensor data using SAP IoT AE Digital Twin connected to IoT Thing Model SAP Asset Intelligence Network can be connected with SAP IoT Application Enablment Services for Time Series Data. Digital Twin leverages the defined Thing Model defined by SAP IoT AE Asset Intelligence Network SAP IoT AE providing business semantics to model physical devices and processes Time Series Data is not stored in SAP AIN IoT Application Enablement SAP IoT AE stores Data using Dynamic Tearing 1 Single Source of Asset Information Data bringing together static Master Data (OEM and Operator) with dynamic sensor information (asset health) Protocols Shop Floor HTTP IEEE MQTT HART & W-HART DDS Profibus Infibus DLMS/COSEM OPC UA XMPP LoRa 20
18 Integration Scenarios Support for the RAMI 4.0 Administration Shell SAP Asset Intelligence Network supports the RAMI 4.0 Administration Shell One single source of truth for the asset / equipment Information about the utilization of the asset Accessible via APIs, based on a service-oriented architecture Contains information about different application aspects (installation, business partners, condition monitoring, tickets, spare parts, etc.) Supports unique Identifiers, types and instances Manufacturer and operator specific attributes Source: Plattform Industrie 4.0, blob=publicationfile&v=5 21
19 Integration Scenarios SAP Cloud for Customers Integration with Cloud for Customers SAP Cloud for Customers is just one integration possibility Manufacturers can easily access all available tickets for an equipment and control the access for Operators and service providers Operators can create service requests directly on the equipment level If the collaboration is in place, manufacturers can apply this on their customer equipment to fulfill service agreements and increase uptime & customer satisfaction 22
20 Integration Scenarios API Integration Powerful REST APIs and API tutorial for SAP Asset Intelligence Network Publicly available at Model APIs: Here Equipment APIs: Here Template APIs: Here Location APIs: Here Document APIs: Here Spare Part APIs: Here And many more 23
21 SAP Asset Intelligence Network Architecture Build Extend Integrate On-Premise / Managed Cloud / SaaS SAP Hybris Rest API SAP Cloud Platform (SCP) (PaaS) SCP / Fiori (HTML5) Applications AIN Subscriptions AIN User Interfaces Ariba SAP Predictive Maintenance & Service SAP Cloud Integration Services (Cloud) AIN Mappings SCP / Java Applications AIN Integration SAP Asset Intelligence Network Application AIN Admin SAP S/4 HANA SAP CRM ABAP HTTP Calls (on-premise) SCP Identity Service SCP Document Service SCP Persistence Service Redis *Elastic Search 24
22 SAP Asset Intelligence Network Chemical Customer A Use Case 1 - Equipment Installation Next Level Plant Maintenance Sensor Data Service Tickets Efficiency Maintenance rework costs Brownfield: Updating & enhancing data Brownfield: Publishing of functional location data Up to date data of the digital twin on site Manufacturer Optional Invitation by Premium Account Greenfield: Automatic creation of equipment data SLA SAP Asset Intelligence Network Greenfield: Leveraging Manufacturer data & syncing with SAP PM Asset operator Master data effort Training effort Upsell Revenue Service Bulletins / Compliance Maintenance Inventory Value Customer Satisfaction OEE 25
23 SAP Asset Intelligence Network Discrete Customer 2 Use Case 2 Supplier Track and Trace Automatic creation of equipment data Manufacturer Master data effort Recall effort Equipment as a Service Service Bulletins / Compliance Connecting digital twin with digital components Efficiency Maintenance rework costs Up to date data of the digital twin on site Supplier Automatic creation of component data SAP Asset Intelligence Network Leveraging Equipment data including components Optional Invitation by Premium Account SLA Upsell Revenue Service Bulletins / Compliance Value Customer Satisfaction Sensor Data Service Tickets 26
24 Foundation for a successful, global, single network of assets All business partners need to talk a common language?! Manufacturer Operator Service Provider 27
25 Typical journey to get there? An internal Installed Base / Asset Portal across multiple in-house systems An external Installed Base / Asset Portal where you invite key Service Providers and Manufacturers Progressively benefit from an expanding network of contributors Propose an Industrial IoT Pilot with your customers 28
26 Summary SAP Asset Intelligence Network Provides a digital representation of all physical equipment in the field with secure, controllable sharing rights across business partners to enable: Customer insights: Leverage the installed base in the business network to grow aftermarket business Performance analytics: Improve product performance allowing customers to benefit from asset insights Digital services: Win in the new digital market space by driving advanced business models into the customer base 29
27 2017 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. The information contained herein may be changed without prior notice. 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 or its affiliated companies shall not be liable for errors or omissions with respect to the materials. The only warranties for SAP 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, and they should not be relied upon in making purchasing decisions. 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. All other product and service names mentioned are the trademarks of their respective companies. See for additional trademark information and notices.
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