Moderne Asset Verwaltung SAP Asset Intelligence Network. Daniel Huber, SAP SE March, 2017
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1 Moderne Asset Verwaltung SAP Asset Intelligence Network Daniel Huber, SAP SE March, 2017
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 Market Shifts in Product and Service Innovation by 2020 Focus moves from producing & installation to efficiently operate over entire lifetime By 2017 IDC predicts By 2018 Gartner predicts By 2017 IDC predicts 60% of Global Manufacturers will use analytics to sense and analyze data from Connected Products and Manufacturing and optimize increasingly complex portfolios of products 1 By billion Connected Things will be requesting support 2 By % of Top 100 Global Manufacturers will arm field service workforces with Augmented Reality capabilities to bridge the gap between traditional products and connected services 1 40% 50%+ of Global Manufacturers will achieve superior "Perfect Service Levels by investing in analytics to support unified Customer Life-Cycle orientation from sales through service 1 of major new business processes and systems will incorporate some element, large or small, of the IoT 3 1 IDC - Worldwide Manufacturing Product and Service Innovation 2016 Predictions, Gartner - Gartner reveals top predictions for IT organizations and users for 2016 and beyond, Gartner - Analysts reveal five unexpected implications from the Internet of Things,
4 SAP Leonardo Innovation Portfolio SAP SE or or an an SAP SAP affiliate company. All rights All rights reserved. reserved. Internal 4
5 Asset Management is undergoing a massive change due to individualization of products and services SAP Asset Intelligence Network 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 5
6 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 Recommendations & 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 6
7 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 i Usage information & feedback for product / service improvement Closed-loop product observation along the complete asset lifecycle 7
8 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 8
9 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 Manage Equipment as a Service Business partner network services Private area Model database Machine records Quality, inspection & calibration results sharing Spare parts management Business context for predictive maintenance Performance Improvement (product & process) Analyse equipment performance 9
10 Business Value for Asset Operators Benefit from a single source of truth MANUFACTURER OPERATOR BUSINESS VALUE Manufacturer #A Manufacturer #B Manufacturer #C Revisions/ Service Bulletins Understand the complete context one channel to many manufacturers Pump XYZ Manufacturer A Recommendations & updates Flow Meter Manufacturer B Maintenance strategies / tasks Engine Manufacturer C Asset operator Service Provider Establish one channel to many manufacturer s, EPCs and Service providers Reduce manual asset search effort Lower asset life cycle costs Higher asset availability Receive notifications, service work summaries and service bulletins Push communication and alerts to manufacturers / service providers Reduce master data maintenance effort Higher process safety by transparent and bundled product service offerings from manufacturer Production Line #1 10
11 Leverage the Digital Twin as a Key Differentiator New approach to asset management Digital Twin for Business New digital services require a entirely new approach to manage industrial assets: Every equipment has one unique identifier associated with one master record as one single source of truth 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 The implementation of a digital twin is the foundation for manufacturers to provide digital services to their customers, Version + Prices Application + Functions Technical Data Payment or invoice with Documentation from analyze their product performance and drive continuous improvements into their installed base. This allows new processes like Firmware updates OTA or condition based monitoring 11
12 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 SAP SE or or an an SAP SAP affiliate company. All rights All rights reserved. reserved. Internal 12
13 SAP Asset Intelligence Network How 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 13
14 Integration Scenarios Big Picture Hana Cloud Integrator Hana Cloud Portal Extensible apps API Management HCP Extension XM PdMS S/4HANA ERP Asset Intelligence Network PLM C4C RAMI 4.0 Service Providers EPCs other 3 rd Party solutions via open APIs ME Other network participants like: Insurance Regulators 14
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. 15
16 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 16
17 Integration Scenarios Integration with Enterprise Asset Management The integration options are available via notes : 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: Linking of EAM objects to AIN Models (Note ) AIN Authentication (Note ) Business Networks Asset Intelligence Network (AIN) Equipment FIORI Operator Enterprise Asset Management (EAM) Functional Location Equipment Model Reference Notification Work Order Model REST API AIN Sidepanel REST API 17
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 18
19 Integration Scenarios API Integration Powerful REST APIs and API tutorial for SAP Asset Intelligence Network Publicly available at Model APIs: Equipment APIs: Template APIs: Location APIs: Document APIs: Spare Part APIs: And many more 19
20 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 20
21 Thank you Daniel Huber Product Management SAP Asset Intelligence Network SAP SE Dietmar-Hopp-Allee Walldorf Phone: mailto: 21
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