SAP AIN Präsentation

SAP Asset Intelligence Network backbone for SAP Internet of Things PUBLIC

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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.

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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

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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

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APIs & Microservices

Natural Language

Assets & Machines

Business Applications

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Solution & Innovation Portfolio Innovation Portfolio SAP Leonardo Bridge Connected

Connected

Connected

Connected

Connected

Connected

Product

Assets

Fleet

Infrastructure

Markets

People

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

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Partner Applications

SAP Leonardo Foundation SAP IoT Bridge SAP Cloud Platform

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Asset Management is undergoing a massive change due to individualization of products and services

Secure

Margin through after market revenue stream

Improve

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 Š 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC

Performance Analytics

Digital Services

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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

Content

A cloud portal of standardized content that defines and documents equipment and models, shared and stored, for a consistent definition between business partners

Network

A secure network to connect multiple business partners for inter and intra company collaboration

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Combined together to deliver

SAP Asset Intelligence Network

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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

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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

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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 © 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC

Closed-loop product observation along the complete asset lifecycle 11

Get insights into the customer‘s installed base Leverage the installed base in the business network to grow the aftermarket business MANUFACTURER

OPERATOR Usage information

Operator #1

Specifications & drawings

Send & receive data

Operator #2

Operator #n

Manufacturer

Recommendation s & updates

Increase equipment portal reach © 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC

Increase customer lifetime value

Product & service feedback

Single source of truth / system of engagement

BUSINESS VALUE ▪

Maintain model (equipment) information once

▪

Get transparency into equipment usage

▪

Improve warranty and recall processes

▪

Specific customer commerce

▪

Improve customer relationships

▪

One solution for many customers

▪

Basis for collaboration and future business models

▪

Offer additional services and revenue Improve service & maintenance efficiency 12

Digital Services Win in the new digital market space by driving advanced business models into the customer base 5. Operations ▪ ▪ ▪ ▪

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Maintenance services Calibration services Performance as a service …

1. Engineering

1

4

▪ ▪ ▪ ▪

2

Commissioning services …

2. Procurement ▪ ▪ ▪

4. Commissioning ▪ ▪

Engineering services 3D model conversion Product improvements …

Digital Twin as USP E-Procurement services …

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3. Installation ▪ ▪ ▪ Sell value added services © 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC

New business models

Machine fingerprint Installation certification …

Increase number of net-new customers 13

… and finally rethink Business Processes Visual audit & name plate recognition Commissioning & handover

Specifications & visual work instructions Service bulletins, recalls & warranty

Equipment register

Asset performance & strategy mgmt.

Private area

Business partner network services

Machine records Quality, inspection & calibration results sharing

Model database

Manage ‘Equipment as a Service’

Spare parts management Business context for predictive maintenance

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Performance Improvement (product & process)

Analyse equipment performance

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Industrial IOT in a “box”

In Construction

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At SPS Drives

Process Automation - https://youtu.be/DJ2eQV-cicQ Tour of IoT Wall https://youtu.be/OjuzyXKotaM

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End to end scenario As designed

As built

As maintained

Cont. Improvement

Connected

Manufacturing

Fixed Assets

Digital

Products

Execution

Insights

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 Product Design Network © 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC

Operator

New Business Models

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

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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.

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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: ▪ ▪

Operator

Business Networks

Linking of EAM objects to AIN Models (Note 2327152) AIN Authentication (Note 2382489)

Enterprise Asset Management (EAM) Model Reference

FIORI Functional Location

Asset Intelligence Network (AIN)

Equipment

Notification

Work Order

Equipment

Model

REST API

AIN Sidepanel

REST API

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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

Asset Intelligence Network

SAP IoT AE ➢

SAP IoT AE providing business semantics to model physical devices and processes

➢

Time Series Data is not stored in SAP AIN

➢

SAP IoT AE stores Data using Dynamic Tearing

IoT Application Enablement

 1 Single Source of Asset Information Data bringing together static Master Data (OEM and Operator) with dynamic sensor information (asset health)

Protocols Shop Floor

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HTTP IEEE 802.15.4 MQTT HART & W-HART

DDS Profibus Infibus DLMS/COSEM

OPC UA XMPP LoRa …

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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

https://www.produktion.de/iot-by-sap/iot-by-sap/mit-dem-digitalen-zwillingzu-mehr-effizienz-bei-industrie-4-0-262.html © 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC

Source: Plattform Industrie 4.0, http://www.plattform-i40.de/I40/Redaktion/EN/Downloads/Publikation/structure-of-the-administrationshell.pdf?__blob=publicationFile&v=5

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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

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Integration Scenarios API Integration Powerful REST APIs and API tutorial for SAP Asset Intelligence Network ▪

Publicly available at http://help.sap.com/ain-current

▪

Model APIs: Here

▪

Equipment APIs: Here

▪

Template APIs: Here

▪

Location APIs: Here

▪

Document APIs: Here

▪

Spare Part APIs: Here

▪

And many more

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SAP Asset Intelligence Network Architecture Build

On-Premise / Managed Cloud / SaaS

Extend

Integrate

SAP Cloud Platform (SCP) (PaaS) SCP / Fiori (HTML5) Applications Rest API

AIN Subscriptions

SAP Hybris

Ariba SAP Predictive Maintenance & Service

SAP Cloud Integration Services (Cloud)

AIN User Interfaces

SCP / Java Applications

AIN Integration AIN Mappings

AIN Admin

SAP Asset Intelligence Network Application

SAP S/4 HANA

SAP CRM

ABAP HTTP Calls (on-Premise)

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SCP Identity Service

SCP Document Service

SCP Persistence Service

Redis

*Elastic Search

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SAP Asset Intelligence Network – Chemical Customer A Use Case 1 - Equipment Installation – Next Level Plant Maintenance Sensor Data Service Tickets

Efficiency

Maintenance rework costs

Manufacturer

Asset operator

SAP Asset Intelligence Network Optional Invitation by Premium Account

Greenfield: Leveraging Manufacturer data & syncing with SAP PM

Greenfield: Automatic creation of equipment data

Master data effort

SLA Upsell Revenue

Value

© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC

Customer Satisfaction

Up to date data of the digital twin on site

Brownfield: Publishing of functional location data

Brownfield: Updating & enhancing data

Service Bulletins / Compliance

Training effort

Maintenance Inventory OEE

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SAP Asset Intelligence Network – Discrete Customer 2 Use Case 2 – Supplier Track and Trace Automatic creation of equipment data

Manufacturer Master data effort

Service Bulletins / Compliance

Efficiency Connecting digital twin with digital components

Recall effort

Maintenance rework costs

Equipment as a Service

Up to date data of the digital twin on site

Supplier SAP Asset Intelligence Network Automatic creation of component data Optional Invitation by Premium Account

SLA

Leveraging Equipment data including components

Service Bulletins / Compliance

Upsell Revenue

Value

© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC

Customer Satisfaction

Sensor Data Service Tickets

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Foundation for a successful, global, single network of assets All business partners need to talk a common language

?

Manufacturer Š 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC

Operator

!

Service Provider 27

Typical journey to get there?

1

2

3

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 Š 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC

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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

© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC

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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.

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