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Reduce uplanned downtime - low upfront investment - predictive maintenance solution?

Industry Automation and Control Forum

This forum is addressing industrial automation design & engineering, operations, asset performance, cyber security and digital transformation for Plants & Machines.

ConnectedPlant
Ensign
Ensign
0 Likes
4
3323

Reduce uplanned downtime - low upfront investment - predictive maintenance solution?

Reducing unplanned downtime is a critical objective this year and we want to evaluate solutions without the difficulty of significant investment or development time, we are looking to deploy a predictive maintenance solution that can initially be scaled in one of our plants but can then be used worldwide without difficulty or large expense. Can someone suggest an innovative company to partner / pilot with

4 Replies 4
Matt_Theakstone
Crewman Crewman
Crewman
1
3311

Re: Reduce uplanned downtime - low upfront investment - predictive maintenance solution?

I am promoting the use of "Predictive asset analytics" with our customers. We have 30000 models running right now. What type of assets are you looking to deploy this solution for? 

Omnio
Ensign
Ensign

Re: Reduce uplanned downtime - low upfront investment - predictive maintenance solution?

Omnio can be of assistance in connecting your OT devices to IT solutions. We do simple and fast onboarding of industrial devices, including legacy equipment to IIoT platforms. Regardless of manufacturer and communication protocols, we pull and normalize data for use in for instance predictive maintenance, without the need for any additional programming. This greatly decreases downtime and implementation cost, while also making it easily scalable.

 

Please have a look at our solution and reach out for more info:
https://shop.exchange.se.com/apps/37741/omnio-plug-play-onbording

Senseye
Crewman
Crewman
0 Likes
0
3291

Re: Reduce uplanned downtime - low upfront investment - predictive maintenance solution?

The challenge of scale is significant - companies like yours want to be able to benefit from predictive maintenance, without having to invest a significant amount with an unknown ROI.

 

Senseye is the leading cloud-based software for Predictive Maintenance. It helps manufacturers like you to avoid downtime and save money by automatically forecasting machine failure without the need for expert manual analysis. Its intelligent machine-learning algorithms allow it to be used on any machine from any manufacturer, taking information from existing Industrial IoT sensors and platforms to automatically diagnose failures and provide the remaining useful life of machinery.

 

Best of all, you can start with a handful of machines and add more as it proves its value - typical ROI can be achieved in 3-4 months.

 

We have uploaded our overview flyer - please take a look and get in touch via our page on the Schneider Electric Exchange!

https://shop.exchange.se.com/apps/34926#!overview 

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EnsparkSystems
Cadet
0 Likes
0
3059

Re: Reduce uplanned downtime - low upfront investment - predictive maintenance solution?

We are a start up.solution provider company based in India

Would like to know details about your downtime reduction olutions to condider marketing them in India

Regards

Vijayan