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Case Study

HÖRMANN Digital Evaluates Predictive Maintenance with Amazon Monitron

A historical proof of concept for condition monitoring in automated warehouse facilities

Industrial ManufacturingMunich, GermanyAmazon Monitron

Customer story

A customer story from a Tactical Edge engagement.

See the problem, the approach, and what changed. For your project, we'll establish a baseline and agree on how results will be measured.

Historical service context

This engagement used Amazon Monitron. AWS stopped opening the service to new customers on October 31, 2024. Existing-customer availability is governed by AWS. This page describes a past proof of concept. If you are planning condition monitoring now, we can help you compare currently available options for your equipment and maintenance workflow. Read the AWS service notice.

About HÖRMANN Digital

HÖRMANN Digital leads the digital transformation of the HÖRMANN Group, a European consortium of industrial manufacturing companies. The company focuses on AI, cloud solutions, and data-driven innovation to modernize the digital capabilities of the HÖRMANN Group's subsidiaries across industries such as automotive, intralogistics, communication, and engineering.

The Challenge

HÖRMANN Digital sought to test a retrofit condition-monitoring approach for automated warehouse facilities. With different machinery in use at selected test locations, the proof of concept evaluated whether sensor data and alerts could help maintenance teams identify potential issues earlier and work within the existing environment.

The Solution

Tactical Edge supported HÖRMANN Digital in evaluating Amazon Monitron through a limited proof-of-concept deployment at selected test sites.

The proof of concept used sensors and the service's machine-learning-assisted condition monitoring to evaluate alerts for selected equipment. Maintenance teams remained responsible for interpreting alerts and deciding what action, if any, to take.

Key AWS Services

Amazon MonitronIndustrial sensorsCondition monitoringAlert evaluationProof-of-concept testing

Engagement Scope and Observations

  • Configured condition-monitoring workflows for selected machinery at proof-of-concept sites
  • Evaluated sensor readings and machine-learning-assisted alerts with maintenance teams
  • Documented integration considerations for the existing warehouse environment
  • Assessed how condition alerts could inform preventive-maintenance decisions
  • Produced proof-of-concept findings for HÖRMANN Digital to consider in future condition-monitoring work

For your condition-monitoring project, we can scope a bounded test with your maintenance team and evaluate current options before you decide whether to expand.

Interested in predictive maintenance for your manufacturing operations?

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