Predictive maintenance

Make factories smarter and more efficient

Make factories smarter and more efficient

Monitor manufacturing equipment in real time and track its full lifecycle to predict and prevent equipment failure, reduce downtime, and optimize processes. The Neal Analytics predictive maintenance solution combines advanced data analysis, artificial intelligence algorithms, and IoT built on Microsoft Azure with Intel technology to help you control costs and improve product quality.

Make factories smarter and more efficient
Glass company predicts breakdowns with 85% accuracy, two days in advance
Glass company predicts breakdowns with 85% accuracy, two days in advance

Glass company predicts breakdowns with 85% accuracy, two days in advance

An international glass manufacturer was experiencing equipment failures that led to unexpected costs and low production availability. Using the Neal Analytics Predictive Maintenance solution, which includes Microsoft Azure Machine Learning, the company can identify variables and anomalies that influence equipment failure. This solution enables the company to predict breakdowns two days in advance with 85% accuracy and take appropriate action, resulting in lower maintenance costs and less unplanned downtime.

솔루션 개요 다운로드

솔루션 개요 다운로드

솔루션 개요 PDF를 다운로드하여 이 솔루션에 대해 알아보고, 당신의 팀과 공유하여, 비즈니스 요구사항에 맞게 IoT 솔루션을 구현하는 방법에 대해 알아보세요.
솔루션 개요 다운로드
Neal Analytics Logo

Get ready to improve production and lower your costs​