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AWS Solutions Library

Guidance for Predictive Maintenance with SAP using AWS IoT

Overview

This guidance demonstrates how to integrate AWS IoT solutions with SAP manufacturing systems to optimize maintenance operations and asset performance. By combining near real-time IoT sensor data with machine learning-driven predictive analytics, organizations can transform their maintenance strategy from reactive to predictive, automatically triggering SAP S/4HANA workflows before equipment failures occur. This solution helps industrial companies reduce downtime, improve operational efficiency, and decrease maintenance costs while digitizing their manufacturing processes.

Benefits

    Detect potential failures before they occur by analyzing real-time sensor data with Amazon SageMaker machine learning models. Automatically create maintenance notifications in SAP S/4HANA when anomalies are detected, enabling proactive maintenance scheduling that minimizes costly unplanned downtime.

    Transform reactive maintenance processes into data-driven predictive workflows using AWS IoT Core and Lambda functions. Maintenance teams can prioritize work based on actual equipment conditions rather than fixed schedules, reducing unnecessary maintenance costs while extending asset lifespans.

    Connect industrial equipment data directly to your SAP business systems through seamless AWS integration. Real-time monitoring with CloudWatch and advanced analytics provide comprehensive insights into equipment performance, enabling better decision-making and continuous improvement of maintenance strategies.

How it works

These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.

Download the architecture diagram

Disclaimer

The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.

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