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Case Study

Aerospace Manufacturer Reduces Downtime and Improves OEE

Litmus Edge enabled this aerospace manufacturer to move from a laborious data collection and analysis process to an automated program for probing complex CNC machines. The automated program collects and analyzes operational data such as time spent on machine and drift in real-time. It also sends maintenance alerts and pre-alerts in the case of an incorrect program selection to minimize production waste.

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Technology
Pages quick element

Reduced Manual OEE by ~70%

Civil Aerospace

Reduced Downtime + Scrap​

6000 Employees

Faster Root Cause Analysis​

60+ Plants

Company Snapshot​

A multinational engineering company that designs and manufactures complex power and propulsion solutions for safety-critical applications in transportation.​​

Challenges

Unlock data in legacy machines.​

Gain visibility into OEE parameters in the shop floor.​

Deploy applications to the edge in a secured manner.

Outcomes + Benefits​

OEE calculations: Time spent in machine, actual vs. target feeds and speeds, RCA through correlations.​

Traceability: Track each tool, component, and component to map concessions back to the root cause.​

Reduce scrap by alerting the operator when an incorrect program is selected for a part.

Architecture

Litmus Edge running on Physical gateway (Dell OptiPlex), Litmus Edge Manager in DMZ, no cloud integration.

IIoT Success Stories

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Aerospace Manufacturer Reduces Downtime and Improves OEE
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