Machine Anomaly Detection & Diagnostics Solution for Manufacturing

Manufacturing world has long dreamt of getting to a Zero Unplanned downtime state.

Despite the progress made through multiple initiatives, managing Downtime, Efficiency and Productivity continue to be challenge. 

A move from monitoring machine health to anomaly detection and diagnosis and prognosis is a journey.

Most of Organizations’ are still struggling to derive full value from their sensor data.

As per McKinsey Consulting, “Real-time monitoring provides actionable insight, this intervention reduced the mean time-to-repair on these pumps from 6.5 to around 3 hours, cutting OEE losses by almost half and saving approximately $120,000 for each failure”.

However, most organizations are caught somewhere in this continuum of being reactive approach to proactive maintenance approach.

IoTfyNow has a 30 year legacy in Industrial automation. We have developed a machine health monitoring system, based on various machine sensor data of your system.  

This cost-effective framework comes with a suite of Technical tools, business processes & Organization change management processes, to help Small and Medium sized manufacturing majors reduce unplanned downtime by up 30%.

Our Solution:

This is quick time to value based IoT enablement, in executed in 3 Steps:

1. Collection and Ingestion to Industrial Edge platform Analytics Layer
2. Transform data with AI & ML on Edge Platform
3. Visualize Actionable insights on single pane of glass

For more on how to effectively navigate the journey of getting actionable insights from Machine data, join us for our Upcoming Webinar by 9 AM EST, Friday December 18.

It’s going to be a fun session where we will chat about some of what we have learnt. We will be happy to take your specific questions too. If we can help you solve for some of those, to any degree, the webinar would have met its purpose. I look forward to seeing you. You can RSVP here.  

For more information on our products and services, please contact sales@iotfynow.com