SAP Asset Performance Management logo

SAP Asset Performance Management

by SAP · Since 1972
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ActiveAvailable globallyCloud
Quick facts
VendorSAP
Year launched1972
StatusActive
LocationSAP SE, Dietmar-Hopp-Allee 16, 69190 Walldorf, Germany.
Countries servedGlobal
Languages25
IntegrationsN/A
Free tierNO
Free trialNO
Contact salesYES

About SAP Asset Performance Management

SAP Asset Performance Management by SAP is a core system for high-value industrial assets. It excels by unifying the engineer’s strategy with the technician’s execution, ensuring that maintenance is done exactly when needed—not too early, and never too late.

SAP Asset Performance Management by SAP is a core system for high-value industrial assets. It excels by unifying the engineer’s strategy with the technician’s execution, ensuring that maintenance is done exactly when needed—not too early, and never too late. For a Business Analyst or Technical Product Manager, its value lies in asset longevity and risk mitigation—it provides the visibility needed to extend the life of multi-million dollar machinery while preventing catastrophic failures. It is a robust solution for organizations where asset uptime is directly tied to profitability.

Pros & Cons

Pros
  • Modern SAP Fiori design makes complex reliability data easier to interpret.
  • Built on SAP BTP, allowing it to handle massive data loads from global asset fleets.
  • Strong emphasis on established engineering methodologies like RCM and FMEA.
Cons
  • Targeted at large enterprises; the total cost of ownership is high for smaller firms.
  • Requires specialized reliability engineers and SAP consultants for optimal setup.

Features

Key features

Closed-Loop Maintenance

Automatically triggers maintenance requests in SAP S/4HANA based on health scores or predicted anomalies.

Asset Health Monitoring

Dashboards that aggregate technical and financial data to provide a 360-degree view of asset status.

Digital Twin Integration

Creates virtual representations of physical assets to track health and performance in real-time.

Predictive Maintenance

Uses machine learning and IoT sensor data to predict failures before they happen.

Asset Strategy & Reliability

Tools to perform RCM and FMEA to determine the best maintenance strategy for critical assets.

Additional features

AI-Driven Insights

Automated anomaly detection that learns from historical asset behavior.

Mobile Accessibility

Web-responsive design for use by field technicians on tablets.

Financial Impact Analysis

Tracks the cost of maintenance versus the cost of downtime.

Work Order Integration

Direct sync with execution systems to ensure recommendations are actually performed.

Integration with GIS

Visualize asset locations and health on interactive geographic maps.

Recommendations Management

A centralized portal to approve and implement maintenance strategy changes.

Rule Engine

User-defined alerts that trigger actions when specific thresholds are met.

Failure Mode Library

A standardized database of how different asset types typically fail.

Condition Monitoring

Real-time tracking of vibration, temperature, and pressure via IoT sensors.

Risk & Criticality Assessments

Rank assets based on their impact on safety, environment, and production.

Pricing

Free trial
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Countries & Languages

Global
Countries served
25
Interface languages
3
Billing currencies

Interface languages

EnglishChineseJapaneseSpanishDutchGermanFrenchItalianRussianPortugueseSwedishTurkishRomanianUkranianPolishNorwegianBulgarianCzechGreekFinnishHungarianCroatianEstonianArabicKorean

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP

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