SAP Intelligent Asset Management Suite - T\|A\|C Events€¦ · SAP portfolio, i.e. SAP Digital...

$: SAP Intelligent Asset Management Suite - T\|A\|C Events€¦ · SAP portfolio, i.e. SAP Digital Manufacturing, SAP Asset Intelligence Network, SAP Asset Strategy and Performance Management,$
PUBLIC

Matthew Easlea - SAP

Chief Product Owner – Asset Management & Asset Networks

September 2018

SAP Intelligent Asset Management Suite

4PUBLIC© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ

Internal

Priority 3:

Share asset information

and collaborate

Activate the ecosystem of OEMs,

EPCs, service providers, and

operators; ensure there’s one version of

truth on asset information; and use a

business network to enable integrated

processes in the cloud.

Priority 2:

Predict and simulate

asset behavior

Avoid unplanned downtime

and major operational consequences,

as well as

discover patterns of failure and

preserve operational integrity.

Priority 1:

Leverage or establish

Connections to assets

Bring together information from

operational and business systems

(IT/OT convergence), as well as use

the IoT for scaling transparency without

neglecting existing information sources.

Asset Management Executives Need to

Prioritize New Business Models and Processes to Transform


Internal

Dynamically predict failures to optimize maintenance backlogs

Asse

t C

on

ditio

n

TimeTotal Failure

Functional FailureAudible Noise

Ancillary Damage

Battery Impedance Test

Hot to Touch

Potential Failure = First Indication of Failure

Human

Driven

T

F

Equipment

Driven

Physics and Data Science driven

Oil Analysis

Machine Learning

P

P

P

P

Greater visibility to dynamically plan

maintenance events

Earlier maintenance to avoid failure

AND

Delaying maintenance to avoid cost

Engineering Models

Engineering Models + ML


Internal

Intelligent Asset Management Suite

Maintenance ManagementSAP S/4HANA

SAP ERP

Ecosystem Collaboration

SAP Asset Intelligence Network

Maintenance Strategy Planning

SAP Asset Strategy & Performance Management

Prediction & Simulation

SAP Predictive Maintenance & Service

SAP Predictive Engineering Insights enabled by ANSYS

Unified Data Model

Asset Central is the reusable asset registry for seamless

integration and data consistency


Internal

SAP Asset Central - Next-Generation Master Data Layer

Asset Classification

Asset Modelling

Asset Representation

Asset Information

Organization Representation

Ma

ste

r D

ata

La

ye

r

Classes Subclasses

Templates Models Attributes Indicators

Equipment Systems Locations Groups

InstructionsAlert Types /

RulesAnnouncements Spare Parts

Performance

ImprovementNotifications Documents

Work

Orders

Failure

Modes

Company

Profile

New Innovations


Internal

The Physical Asset and the Digital Twin

PHYICAL ASSET DIGITAL TWIN

Full Digital Representation of Connected Assets along their Lifecycle delivering an embedded, collaborative and real-time set of

Next Generation Processes and Systems

The PHYSICAL

ASSET AS CENTRAL

OBJECT

Digital twins enables a collaborative end-

to-end digital transformation from design

to manufacturing through operations,

maintenance and service to end-of-life.


SAP delivers a complete and agnostic Digital Twin

Business


Sensor & ML

SAP Predictive Maintenance

Structural

SAP Visual Enteprise &

Predictive Engineering Insights


Plan & Design

Procurement &

Manufacturing

Installation & Commisioning

Operation & Service

Disposal

Digital Twin across the complete Asset Lifecycle

3D Models,

Drawings,

EBOM, P&ID,

As Designed

Spec Sheets,

Production

Quality Data,

MBOM, As

Build

Installation and

Testing Specs,

As Installed

Shut Down

procedures,

Dismantling &

Disposal

Instructions

Service, Safety

& Emergency

Procedures, As

Maintained

Installed Base

Asset


Between a network of organizations

Operator

Manufacturer

Service

Provider

Regulator

SAP Asset Intelligence Network will provide a global registry of industrial equipment; built and shared between

multiple business partners and used across the industry by all stakeholders. This will enable new collaborative

business models resulting in true Operational Excellence.

Models /

Equipment


LogiMAT 2018 showcase: GEBHARDT and SAP Automatic Onboarding

Edge

Gateway

SAP Asset

Intelligence Network

Partner: Pepperl & Fuchs

Wenglor

Hilscher

SAP IoT Services

SAP Asset Central

Cloud Platform

Identification

Data

Sensor

Data

IO

Link Master

SPS


System View with continuous scanning

SAP Asset Central continuously scan the topology of the entire system network. New components are onboarded

automatically by the netIOT Edge Gateway. Possible changes are instantly recorded and incorrect components are

recognized and displayed.

Benefits:

• Map system topology digitally

and make it transparent

• Enable real-time system

monitoring

• Optimize maintenance and

increase availability

• Automatic recording of all

electronic machine and

structure components

• Recognize incorrect replaced

components


Failure Mode specific Health Monitoring

Common

Data Model

Failure

Modes

Detection

Method

Machine Learning

Engine

Equipment

Class

Subclass

Pump

rust

flex

leakage

stuck

visual inspection

structural integrity

threshold-based

forecasting

anomaly based

PdMS Algorithms for

Anomaly Detection

PdMS Algorithms for

Failure Prediction

PEI Simulation

Algorithms

Customer-specific

R Algorithms

Model

Management

Scheduling

Data

Preprocessing

Extensibilityfailure prediction

Image classification

by Deep Learning

Bu

sin

ess D

ata

Ma

ch

ine

Da

ta

Common Business

Data & ProcessesPredictive Maintenance, Maintenance Planning, Monitoring

Health

Indicator


SAP supports flexible approaches to Predictive Maintenance

SAP Predictive Maintenance and ServiceSAP Predictive Engineering Insights

“Enabled by ANSYS”

Sensor Data75 78 82 79 75 78 82 79

Engineering Simulation

Multi-physics Engineering Models

Sensor Data

Machine Learning

Prediction & Anomaly Detection Algorithms

Multi-Body

Dynamics

Partnership

Acquisition

(part of SAP)

20CUSTOMER© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ

Delivered via a native mobile and offline client

22CUSTOMER© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ

Asset CentralIncludes Master and transactional data, Equipment,

Work order, …

PdMS & PEI

AIN

DMC

ASPMAsset Intelligence

NetworkAsset Strategy and

Performance Management

Digital

Manufacturing

Cloud

Predictive Maintenance,

Engineering & Services

Consolidated User Experience and Data Model across multiple ERP system

Instance 1

SAP ERP 6.05

Instance 2

SAP ERP 6.07

Instance 3

SAP S4HC

Instance 4

Non SAP ERP

Next

generation

Fiori U for

master &

transactional

data


Internal

SAP Analytics

Cloud

Datahub &

Vora

E2E Architecture for Digital Twin

S/4HANA OP

& S/4HANA

Cloud

Non SAP ERPECC 6 EhP6+

CFIHOS/

@eClass /

ISO 14224

ER

P

Sys

tem

sSystem 1

..

…

…

En

gin

ee

rin

g

Au

tho

rin

g S

yste

ms

EPC & Contractors

P&IDs, Construction

Drawings, Progress

reports

Approved

Equipment Lists

3D Envelope

3D Parts

Obsolesce Details

Installation guides

O & M Manuals

Specifications

Sensors

Data Lake

Streaming Rules

Data

Historian

Sensors

Bulk Rules

Asset CentralIncludes Master and transactional data, Equipment,

Work order, …

PdMS & PEI

AIN

DMC

ASPMAsset Intelligence

NetworkAsset Strategy and


Digital

Manufacturing

Cloud

SAP

Apps

Asset M

an

ag

er

Offlin

e &

Na

tive

Mo

bility

Visual Conversion

Services

Predictive Maintenance,

Engineering & Services

IoT ServicesSensor IntegrationOEM & Component

Manufacturers

..

…

…

OEM 1

PL

M &

Ma

nu

factu

rin

g S

yste

ms

Customer 1

..

…

…Pla

nt M

ain

ten

an

ce

End Customers

P&IDs, Construction

Drawings, Digital

Services

ETO

Plant Design

Big Data

Stack


Internal

Modern information Accessible

in your

traditional ERP Screens

28INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ

Q3 / 2018 Q1 / 2019

ERP Backend

S4/HANA Cloud

Asset Intelligence

Network

Predictive Maintenance

& Service

Asset Strategy &


Integration Package

October

1808 Release

August

1808 Release

August

1808 Release

August

1808 Release

August

Integration

Package

1902 Release

February

1902 Release

February

1902 Release

February

1811 Release

February

OP FP7

October

Harmonized Releases of the Intelligent Asset Suite

Q4 / 2018

Integration Package

1811 Release

November

1811 Release

November

1811 Release

November

1811 Release

November


Common next generation

equipment model across PdMS,

AIN, ASPM and ERP & S4/HANA

Full software as a service solution with quarterly

shipments

One solution combining PdMS,

AIN, ASPM and S4/HANA Plant

Maintenance

Key Points

1 2 3

Attribute

Groups

Attributes

Attribute

Groups

Attributes

Abstract Concrete

Class

Subclass

Predefined Content

Provided and kept up to date by SAP as application provider

Based on common best practices(e.g. ISO 14224, API 610, eCl@ss)

This is the class and characteristics template.

CLASS: PUMP

SUBCLASS: CENTRIFIGUAL

RATED POWER (BHP)

EFFICIENCY %

Model

Template

Model

TemplateModel

Model Family & Model Information

Provided by individual manufacturer or OEM

FAMILY: 384-PUMP ASSEMBLY,SEAWATER

MODEL: 384XL-PUMP ASSEMBLY, SEAWATER, EXTRA LARGE

Manufacturer: ACME Instruments

RATED POWER: 1500RPM-2500RPM

Attribute

Groups

Attributes

Equipment

TemplateEquipment

Equipment/Location/System Information

Provided by Owner/Operator or by the EPC(on behalf of the OEM)

EQUIP: PU815-JETTY PUMP ASSEMBLY

Site Data: Dusty Environment

Liquid: Pumping water

LOCATION: SITE DE – GROUND PUMPING STATION

Criticality: High

SYSTEM: CRUDE WATER SYSTEM

PUMP SYSTEM

PU815-JETTY PUMP ASSEMBLY

MOTOR SYSTEM

Attribute

Groups

Attributes

Location

TemplateLocation

Attribute

Groups

Attributes

System

TemplateSystem(s)

Next Generation Asset Model

Group(s)


Internal

Technology is changing our approach to Maintenance

Today:

Use of

Maintenance

Strategy*

The Internet of Things is

leading to increased use of

predictive maintenance

Although still relevant,

preventative maintenance

typically results in over-maintaining

assets and high cost

The goal is to enable more IT driven

(data science & rules driven) approaches

to predictive maintenance in order to

reduce unplanned failures and the

number of overall maintenance actions

*Proportion of maintenance strategies are for illustration purposes only and will vary based on many factors

Future:

Use of

Maintenance

Strategy*

Run to Failure Preventative Predictive

TODAY FUTURE


Internal

SAP Asset Central, SAP’s digital twin for physical

assets, is the reusable foundation layer across the

SAP portfolio, i.e. SAP Digital Manufacturing, SAP

Asset Intelligence Network, SAP Asset Strategy

and Performance Management, SAP Predictive

Engineering Insights, SAP Predictive Maintenance

and Service and others.

SAP Asset Central provides a common master

data layer, a set of out-of-the-box integrations to

SAP back-end business and Internet of Things

solutions and standard basic functionalities

enabling common next generation asset modeling

and management.

SAP Asset Central

SAP’s Digital Twin for Physical Assets

SAP Asset Central

SAP Asset

Intelligence

Network

SAP Asset

Strategy &

Performance

Management

SAP

Predictive

Engineering

Insights

SAP

Predictive

Maintenance

& Service

SAP Intelligent Asset Management

SA

P E

RP

SA

P S

/4H

AN

A

SA

P H

yb

ris

Clo

ud

fo

r

Cu

sto

mer

SA

P H

yb

ris

Co

mm

erc

e

SA

P C

lou

d

Pla

tfo

rm Io

T

…

Master Data Basic Functionalities

Integrations

SAP Solutions


Internal

Digital Asset Management Components

State-of-the-art business processes

Leverage new technologies to enable new asset management

business processes with highly flexible UI’s

Real-time insights

End-to-end visibility on strategic, tactical and operational level

Connected assets

Bring together information from operational and business systems

using IoT for scalable transparency

The power of prediction and simulation

Drive smarter decisions, improve reliability, and reduce outages

Collaboration throughout the asset lifecycle

Share asset information, access one version of the truth,

and collaborate on a cloud-based business network with

integrated processes

Maintenance

Execution

Maintenance

Planning and

Scheduling

SAP S/4HANA

Asset Strategy

and Performance

Asset Prediction

and Optimization

Asset Network

and Collaboration

Industry 4.0

ASSET MANAGEMENT

COMPONENTS


Internal

Maintenance Planning and Scheduling

Plan maintenance activities with the right person

providing the appropriate tools and resources

Schedule proactive preventive or condition-based

maintenance tasks

Leverage integrated documentation for job execution

and safety for a holistic view of asset status

Maintenance

Execution

Maintenance

Planning and

Scheduling

SAP S/4HANA

Asset Strategy

and Performance

Asset Prediction

and Optimization

Asset Network

and Collaboration

Industry 4.0

ASSET MANAGEMENT

COMPONENTS


Internal

Maintenance Execution

Execute planned and unplanned maintenance

tasks to help ensure optimal operations

Manage preventive and condition-based

maintenance proactively

Increase equipment reliability and improve asset

usage as well as safer maintenance processes

Manage asset information for work orders,

maintenance, measurements, inspections,

metering, and inventory using mobile devices

Maintenance

ExecutionMaintenance

Planning and

Scheduling

SAP S/4HANA

Asset Strategy

and Performance

Asset Prediction

and Optimization

Asset Network

and Collaboration

Industry 4.0

ASSET MANAGEMENT

COMPONENTS


Internal

Asset Strategy and Performance

Boost asset performance using methods to

manage risk, maintenance costs, downtime,

and energy consumption

Optimize return on assets across lifecycles

by monitoring, reviewing, and improving

maintenance activities

Reduce bottlenecks, improve decision making,

and prevent incidents using a holistic view of

asset types and maintenance strategies

Maintenance

Execution

Maintenance

Planning and

Scheduling

SAP S/4HANA

Asset Strategy

and PerformanceAsset Prediction

and Optimization

Asset Network

and Collaboration

Industry 4.0

ASSET MANAGEMENT

COMPONENTS


Internal

Asset Prediction and Optimization

Optimize the availability of your assets by using

predictive maintenance and service capabilities and the

Internet of Things to take corrective actions early

Collect and analyze sensor data from physical assets

to predict operational failure

Initiate preventive countermeasures that trigger

service or maintenance orders

Optimize asset performance with a closed-loop

maintenance and service process

Create physics-based digital twins of industrial assets

based on a real-time and predictive engineering

analysis

Maintenance

Execution

Maintenance

Planning and

Scheduling

SAP S/4HANA

Asset Strategy

and Performance

Asset Prediction

and Optimization

Asset Network

and Collaboration

Industry 4.0

ASSET MANAGEMENT

COMPONENTS


Internal

Asset Network and Collaboration

Collaborate with manufacturers, operators, service

suppliers, across the network on asset information

Enable secure asset information collaboration

across your business network

Provide one network channel for electronic handover

of technical asset and maintenance data to OEMs,

service providers, and procurement vendors

Improve data reliability, reduce master data

maintenance, and maintain higher asset availability

Maintenance

Execution

Maintenance

Planning and

Scheduling

SAP S/4HANA

Asset Strategy

and Performance

Asset Prediction

and Optimization

Asset Network

and Collaboration

Industry 4.0

ASSET MANAGEMENT

COMPONENTS


End to end value across the lifecycle of the Digital Twin

Automatic

Onboarding &

Topology Detection

Asset Health & Key

Indicators

2D Sensor Chart

and Alert List

Error Codes and

Knowledge Base

Failure Mode based

Predictions

3D Repair

Instructions

Work Orders & PM

Notifications

Service Ticket

Spare Part Ordering

Questionnaire &

ChecklistImprovement

Request


Unified Fiori Launch Pad


42

Unified Next Generation Equipment Page


Internal

Collaborative Equipment List with Phase


Internal

Detailed Failure Mode modelling


Internal

ASPM: Questionnaire for Equipment


Internal

PdMS: Sensor Data for Rules & Alerts


Internal

Key Components of the SAP Intelligent Asset Management Suite

Continuously assess and optimize overall asset performance with risk, criticality & outcome driven maintenance and replacement strategies

Integrated work execution with optimized resource planning

Optimize maintenance events with IoT-based (big data, ML) asset health monitoring and prescriptive recommendations

Live-managed asset master and transactional data with ongoing collaboration between manufacturers, service providers & operators

En

ab

led

by

Asset

Cen

tral

Gain deep asset insights with real-time engineering based analysis from IoT-enabled simulation models

Co

ns

um

ed

via

Mo

bile

Asset M

an

ag

er


Internal54842enUS (18/01) ǀ This content is approved by the customer and may not be altered under any circumstances.

Transforming Business Models with

SAP® Asset Intelligence Network

Erich NETZSCH GmbH &

Co. Holding KG

Selb, Germany

www.netzsch.com

Industry

Industrial machinery and

components

Products and Services

Pumps and systems

Employees

>3,000

Revenue

€475 million (2016)

SAP® Solutions

SAP® Asset Intelligence

Network and SAP Digital

Business Services

organization

“This new network helps our customers and partners, as well as our

company, to be more efficient and reduce the risks of operating equipment.”

Michael Sigl, Team Lead, IT Infrastructure and Communications, Erich NETZSCH GmbH & Co. Holding KG

Since its inception in 1873, family-owned German company NETZSCH has continuously innovated to

become a global market leader in manufacturing, selling, and implementing machinery. With customers

all over the world and a growing product portfolio, the company needed to standardize its asset portal

and undergo a digital transformation. SAP Asset Intelligence Network enabled NETZSCH to provide a

global database and better serve the needs of its customers.

Before: Challenges and Opportunities

• Set up a global collaborative product database

• Provide transparency into pump and component details

• Increase collaboration across functions and with customers

• Build new Internet of Things (IoT) business models to better serve customers and technicians

• Optimize the product portfolio

Why SAP

• Experience as the trusted, go-to advisor for all decision levels

• Ability to co-innovate and closely collaborate with the SAP development team to meet expectations for

managing the IoT, remote applications, and other services

• Expertise to leverage the most innovative IoT platform technology and tightly integrate it into the existing

enterprise resource planning back end

After: Value-Driven Results

• Co-innovated with SAP Digital Business Services to create and implement SAP Asset Intelligence Network

Increased visibility into asset and component details thanks to the digital twin technology

Provided new services to customers

Increased customer satisfaction

DigitalizedPhysical assets and documentation

GlobalizedDigital twin as the virtual reproduction of

assets and components

StandardizedAsset portal

http://www.netzsch.com/


Understand the Roadmap


SAP Asset Strategy and Performance

Management

SAP Predictive Maintenance and

Service, cloud edition


Service, on-premise edition

Deep dive on the Technical

AIN Jump page

SAP Asset Intelligence Network Help

SAP Asset Strategy and Performance

Management Help


Service, cloud edition help

Start with the Intelligent Asset

Management Website

Here

Find More Information

1 2 3

https://www.sap.com/documents/2017/06/d6cb3493-c37c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2017/11/007daed8-e27c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2017/06/baa98193-c37c-0010-82c7-eda71af511fa.html

https://www.sap.com/documents/2017/06/16c87a93-c37c-0010-82c7-eda71af511fa.html

https://blogs.sap.com/2018/01/22/sap-asset-intelligence-network-jump-page/

https://help.sap.com/viewer/p/SAP_ASSET_INTELLIGENCE_NETWORK

https://help.sap.com/viewer/p/SAP_ASSET_STRATEGY_AND_PERFORMANCE_MANAGEMENT

https://help.sap.com/viewer/p/SAP_PREDICTIVE_MAINTENANCE_AND_SERVICE_CLOUD

https://www.sap.com/eam

Thank you.Contact information:

Matthew Easlea - [email protected]

Chief Product Owner – Asset Network and Asset Management

Walldorf, Germany

mailto:[email protected]

SAP Intelligent Asset Management Suite - T\|A\|C Events€¦ · SAP portfolio, i.e. SAP Digital...

Documents

Transcript of SAP Intelligent Asset Management Suite - T\|A\|C Events€¦ · SAP portfolio, i.e. SAP Digital...