SAP Intelligent Asset Management Overview, IAM100 Col2403

This eLearning provides an overview of SAP Intelligent Asset Management (IAM) and its role in next-generation asset strategies. The content introduces the need for intelligent asset management, explains how to use Asset Strategy & Collaboration, and describes capabilities for monitoring asset health. It also covers planning, scheduling, and executing maintenance tasks, as well as running analytics to improve asset performance.

The material is designed to help business users and consultants understand the IAM product portfolio and its contribution to collaborative, data-driven maintenance processes. By the end, learners will be able to recognize how IAM enables better reliability, cost optimization, and decision-making across asset-intensive industries.

1. IAM100
SAP Intelligent Asset Management
Overview
.
.
PARTICIPANT HANDBOOK
INSTRUCTOR-LED TRAINING
.
Course Version: 2403
Course Duration: 2 Day(s)
Material Number: 50158935
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3. SAP Copyrights, Trademarks and
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4. Typographic Conventions
American English is the standard used in this handbook.
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5. Contents
vii Course Overview1 Unit 1: Identifying the need for Intelligent Asset Management3 Lesson: Differentiating Intelligent Asset Management from
Enterprise Asset Management
7 Lesson: Describing the Closed Loop Asset Lifecycle11 Unit 2: Interpreting Asset Strategy & Collaboration12 Lesson: Interpreting Asset Strategy and Collaboration15 Exercise 1: Publish and Share Equipment18 Lesson: Explaining Asset Risk & Criticality21 Exercise 2: Risk and Criticality Template23 Exercise 3: Risk and Criticality Assessment26 Lesson: Implementing Asset Maintenance Strategy29 Exercise 4: Recommendations35 Unit 3: Explaining Asset Health Monitoring36 Lesson: Automating Maintenance Rules and Alerts Management41 Exercise 5: Create Scheduled Rules45 Lesson: Utilizing Business Artificial Intelligence (AI) in Intelligent
Asset Management
51 Unit 4: Planning, Scheduling and Executing Maintenance Work53 Lesson: Explaining the Phase Based Maintenance Process59 Lesson: Managing Maintenance Orders65 Lesson: Planning Maintenance Order Resources67 Lesson: Checking and Releasing Maintenance Orders69 Lesson: Executing Maintenance Work77 Unit 5: Running Analytics for Intelligent Asset Management79 Lesson: Using Embedded Analysis in S/4HANA82 Lesson: Using Enterprise Asset Management Analytics85 Exercise 6: Review SAP Fiori Analytics
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7. Course Overview
TARGET AUDIENCE
This course is intended for the following audiences:
●Project Manager
●Project Stakeholder
●Application Consultant
●Super / Key / Power User
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9. UNIT 1
Identifying the need for
Intelligent Asset Management
Lesson 1
Differentiating Intelligent Asset Management from Enterprise Asset Management
3
Lesson 2
Describing the Closed Loop Asset Lifecycle
7
UNIT OBJECTIVES
●Explain the differences between Enterprise Asset Management and Intelligent Asset
Management
●Identify the high level phases along the asset lifecycle as well as the interplay between EAM
and SAP Intelligent Asset Management.
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10. Unit 1: Identifying the need for Intelligent Asset Management
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11. Unit 1
Lesson 1
Differentiating Intelligent Asset Management
from Enterprise Asset Management
LESSON OBJECTIVES
After completing this lesson, you will be able to:
●Explain the differences between Enterprise Asset Management and Intelligent Asset
Management
Why Cloud? Why SAP Intelligent Asset Management and SAP S/4HANA Cloud
EAM? – Business Need
SaaS and cloud migration = 38% of asset-intensive industries are steadily converting legacy
systems to cloud-based Enterprise Asset Management.
Asset managers' technology, data, and digital technology are and will be differentiators and
innovation accelerators amongst others, increasing the integration of asset management with
AI, IoT, digital twins, augmented reality, and location-based services.
Internet of Things (IoT) and machine learning made it possible to track equipment status in
real time, detect anomalies, and forecast potential problems.
Executives agree that digital twins are an essential aspect of asset management
organizational enablement.
Coming and recent generations require user-grade digital applications. Digital natives grew up
using technology. They lack the years of equipment experience held by experts leaving the
workforce. Technology connects the younger generation with inbuilt knowledge. This trend is
highly connected with human-centric mobility, emphasizing the need for mobile solutions.
AI impacts and enhances decision-making with predictive analytics, automation, and
efficiency everywhere, including asset management processes.
Further Aspect: Changing Market Dynamics – Service-Orientation
There are new market dynamics through the convergence of asset maintenance and
equipment service processes.
Service and maintenance companies are reliable for the specified equipment efficiency and
performance needed to be in sync to best serve the end customer.
The manufacturer and operator have their own ‘commercial efficiency’ to make their
respective business model work.
Increased focus on outcome-based operation = understanding the common commercial
efficiency as a win-win opportunity, as well as the common and collaborative processes.
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12. Convergence of Asset Maintenance and Equipment Service Processes
Figure 1: Convergence of Asset Maintenance and Equipment Service Processes
Differences Between SAP S/4HANA Cloud (EAM) and SAP Intelligent Asset
Management
Figure 2: Differences between S/4HANA Cloud (EAM) and SAP Intelligent Asset Management
Unit 1: Identifying the need for Intelligent Asset Management
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13. Differences Between Cloud EAM and SAP Intelligent Asset Management
Table 1:
EAM SAP Intelligent Asset ManagementMaster Data: Foundational data that is essen-
tial for managing and maintaining the assets
within an organization. This includes data
such as functional locations, equipment,
plants, and so on.
Asset Collaboration: Asset collaboration re-
fers to the integration of asset data, work-
flows, and teams to improve asset perform-
ance and efficiency. It involves facilitating
communication and collaboration among dif-
ferent stakeholders, such as maintenance
teams, asset managers, and asset manufac-
turers.
Work Management: Work management in-
volves overseeing all aspects of work related
to maintaining and managing physical assets
within an organization. This includes plan-
ning, scheduling, assigning, and tracking
work orders, as well as monitoring and opti-
mizing the use of resources.
Asset Strategy: Asset strategy refers to de-
fining and implementing a plan to optimize
the usage, performance, and maintenance of
physical assets within an organization. This
involves identifying the most effective and
cost-efficient ways to acquire, utilize, and
dispose of assets.
Planning and Orchestration: This is a strate-
gic approach to managing and maintaining
the assets of an organization. This includes
creating long-term plans for asset manage-
ment, scheduling maintenance and inspec-
tions, and coordinating the efforts of differ-
ent teams and departments to ensure effi-
cient and effective asset management.
Asset Health: Asset health in intelligent asset
management refers to the condition or state
of an asset, such as a piece of equipment or
machinery. It involves using data, analytics,
and predictive maintenance to monitor and
assess the health of assets in real-time, al-
lowing for proactive maintenance and mini-
mizing downtime.
Scheduling: This involves creating and man-
aging work schedules for maintenance activi-
ties, inspections, and repairs on assets. It in-
volves understanding asset availability, re-
source availability, and the criticality of the
maintenance tasks.
Field Service: Field service involves the de-
ployment of technicians or service personnel
to different locations or remote sites to per-
form maintenance, repairs, inspections, or
other tasks related to the assets located
there.
Execution: Execution refers to the process of
and carrying out maintenance and repair op-
erations and activities for assets and equip-
ment within an organization. This also in-
cludes the time recording for all maintenance
work.
Mobile Work Management: Mobile work man-
agement is the use of mobile technology and
applications to efficiently manage and track
work tasks, maintenance activities, and asset
performance in real-time. This allows field
technicians and managers to access, update,
and communicate critical information while
on the go.
Analytics and Reporting: This involves using
data and metrics to monitor and evaluate the
performance, maintenance, and operation of
a company's assets. This can help identify
trends, patterns, and potential issues, as well
as make informed decisions for optimizing
asset performance.
Asset Visualization: Asset visualization is the
use of software and technology to create vis-
ual representations of assets, such as equip-
ment or infrastructure. This can include 3D
models, interactive maps, or other digital
renderings that provide a clear and detailed
view of the asset.
Lesson: Differentiating Intelligent Asset Management from Enterprise Asset Management
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14. Figure 3: Intelligent Asset Management Solutions
Core of Intelligent Asset Management: Intelligent Assets – Digital Twins
"Intelligent Asset“ = Digital Twins = Enable future maintenance strategies, for example, risk
based, and contribute towards more resilient supply chains, enhanced customer service,
improved operational equipment efficiency, cost reduction, and enhanced risk management
through:
Connecting assets through Industry 4.0 to establish real-time condition monitoring,
predictive and prescriptive maintenance.
Integrating maintenance operations across the enterprise, removing silos in the supply chain.
Connecting maintenance strategy, planning, and execution via closed-loop processes and
data and ensure intelligent and safe operations.
Adopting new collaborative processes with business partners.
But why? Maintenance operations are aiming to establish a self-running enterprise, as shown
in the following figure:
Figure 4: Operational Equipment Efficiency
LESSON SUMMARY
You should now be able to:
●Explain the differences between Enterprise Asset Management and Intelligent Asset
Management
Unit 1: Identifying the need for Intelligent Asset Management
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15. Unit 1
Lesson 2
Describing the Closed Loop Asset Lifecycle
LESSON OBJECTIVES
After completing this lesson, you will be able to:
●Identify the high level phases along the asset lifecycle as well as the interplay between EAM
and SAP Intelligent Asset Management.
Closed Loop Asset Lifecycle Enabled by SAP S/4HANA Cloud
The closed loop asset lifecycle describes all process steps and activities regarding assets in
an organization. This covers everything from deciding which assets to commission all the way
to decommissioning assets after a certain amount of time. Because this course focuses on
the Intelligent Asset Management solutions, the focus is on activities and actions performed
in the time span an asset is in operation.
The closed loop aspect of the asset lifecycle emphasizes the importance of feedback and
continuous improvement. It involves gathering data and insights at each stage of the lifecycle
and using that information to inform decision-making and optimize asset management
practices. This feedback loop helps organizations identify areas for improvement, reduce
costs, enhance asset performance, and minimize environmental impact.
Video: Closed Loop Asset Lifecycle Enabled by SAP S/4HANA Cloud
For more information on Closed Loop Asset Lifecycle Enabled by SAP S/4HANA
Cloud , please view the video in the lesson Describing the Closed Loop Asset
Lifecycle in your online course.
Overview of the Process Steps along the Asset Lifecycle
●Asset Collaboration: Having a network for collaboration between asset operators, original
manufacturers, suppliers, and service providers enables information exchange to improve
asset commissioning and streamline work order processing. It also achieves resiliency and
transparency across the entire asset lifecycle.
●Asset Risk and Criticality Assessment: During the asset risk and criticality assessment, the
risks associated with assets within an organization and their criticality to business
operations are identified. This assessment helps prioritize assets based on their
importance, potential impact on operations, and vulnerability to risks. The risk and
criticality assessment and thus the calculation of a risk score is done using Failure Mode
and Effects Analysis (FMEA).
●Implementation of Asset Maintenance Strategy: Decide which maintenance strategy fits
best to your asset based on its historical as well as on its upcoming data collected using
IoT. Select among three approaches: time-based, performance-based, and risk-based
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16. maintenance. In contrast to the rather traditional models of time- and performance-based
maintenance, risk-based maintenance allows precise assessments based on asset health
data and an alerting system.
●IoT and Inspection Data Management: Using IoT sensors within operating assets, real-time
data can be used to define indicators to gain insight on the current state of the respective
asset. This data enables the definition of rules for maintenance needs in the process steps
ahead. It is also the basis for predictive and condition-based maintenance.
●Maintenance Rules and Alerts Management: In this step, users can define maintenance
rules. These are conditions or criteria that trigger specific alerts when met. These rules can
be based on factors such as asset health, operating conditions, and performance
thresholds. The indicators defined in the previous steps can be used within the defined
rules. Alerts are maintenance notifications generated by the system when maintenance
rules are triggered.
●Anomaly Detection and Failure Prediction: Anomaly detection and failure prediction
involves leveraging advanced analytics and machine learning algorithms to identify
abnormal patterns or behaviors in asset data and predict potential failures before they
occur. This optimizes maintenance activities, drives continuous improvement in asset
reliability, availability, and performance and is the basis for predictive maintenance.
●Create/Manage orders: In this process step, maintenance orders are created and assigned
to the responsible maintenance teams. Different analytics features give an overview of
maintenance orders and activities within organizations helping with the management of
the current maintenance backlog.
●Asset Management Resource Planning: In this step, the available asset maintenance
resources are efficiently allocated and utilized. This involves scheduling and planning
maintenance activities based on resource availability and workload capacity. Individual
maintenance tasks can be assigned to specific maintenance technicians or teams.
●Schedule and Dispatch: Leveraging manual, assisted, and fully automated planning,
workforce deployment can be optimized. It includes route optimization for efficient travel,
real-time dispatch optimization, and seamless integration of contract labor. Workforce
management facilitates call-out management, ensuring that skills and certifications align
with assigned tasks. This comprehensive approach ensures that the right work is
performed at the right time, with the right resources, enhancing maintenance efficiency
and asset reliability.
LESSON SUMMARY
You should now be able to:
●Identify the high level phases along the asset lifecycle as well as the interplay between EAM
and SAP Intelligent Asset Management.
Unit 1: Identifying the need for Intelligent Asset Management
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17. Unit 1
Learning Assessment
1.Which is the correct order of process steps within the closed loop asset lifecycle after a
new asset has been commissioned?
Choose the correct answer.
XAAsset Risk & Criticality Assessment -> Asset Collaboration -> Schedule and
Dispatch
XBAsset Collaboration -> Asset Risk & Criticality Assessment -> Implementation of
Asset Maintenance Strategy
XCCreate & Manage Orders -> Asset Collaboration -> Maintenance Execution
XDConfirmation and Results -> Schedule & Dispatch-> Maintenance Execution
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18. Unit 1: Learning Assessment
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19. UNIT 2
Interpreting Asset Strategy &
Collaboration
Lesson 1
Interpreting Asset Strategy and Collaboration
12
Exercise 1: Publish and Share Equipment
15
Lesson 2
Explaining Asset Risk & Criticality
18
Exercise 2: Risk and Criticality Template
21
Exercise 3: Risk and Criticality Assessment
23
Lesson 3
Implementing Asset Maintenance Strategy
26
Exercise 4: Recommendations
29
UNIT OBJECTIVES
●Provide a general overview of SAP Business Network Asset Collaboration
●Explain the concept of a Risk & Criticality Assessment
●Describe what recommendations are within SAP Asset Performance Management
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20. Unit 2
Lesson 1
Interpreting Asset Strategy and Collaboration
LESSON OBJECTIVES
After completing this lesson, you will be able to:
●Provide a general overview of SAP Business Network Asset Collaboration
Introduction to SAP Business Network Asset Collaboration
This lesson is a general overview of SAP Business Network Asset Collaboration with a focus
on business partners and the concept of sharing assets, as well as the process of sharing a
data object with a business partner and the capabilities surrounding that.
SAP Business Network Asset Collaboration, formerly SAP Asset Intelligence Network, is a
crucial part of the SAP Intelligent Asset Management suite of products. The main purpose of
SAP Business Network Asset Collaboration is that within its platform, it contains a pool of
master data and transactional data that can be easily shared between business partners. For
example, an asset such as a motor or a pump can be shared between the organization that is
using the object, the manufacturer of the object in question, technicians who may need to
service those objects, or any other relevant party. The master and transactional data can
either be created locally in the cloud via another integrated solution, asset central foundation,
or can be brought over from a back-end SAP S/4HANA or ECC system.
The benefit of this solution is the ability to have a single source for the data between all
partners. Objects such as documents and failure modes can be attached to items in SAP
Business Network Asset Collaboration and can be referenced by all partners to construct a
better overall picture.
For data to be shared between the different asset collaborators, they must be present within
the SAP Business Network Asset Collaboration tenant as a business partner. The main
account users, or premium users of the SAP Business Network Asset Collaboration tenant,
must first invite the company in there before they can become a business partner. Once
added, premium users can share data with the specified business partners at either a read or
write level. Business partners can also share data they create with the premium users and
other business partners in the tenant as well
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