logo
logo
Sign in

Predictive Maintenance Useful Tool To Reduce Unscheduled Downtime And Costs Of Companies

avatar
sachin sadgir
Predictive Maintenance Useful Tool To Reduce Unscheduled Downtime And Costs Of Companies

In manufacturing plants, Predictive Maintenance can reduce unscheduled downtime and costs. When implemented properly, the technique can drastically reduce the number of unscheduled outages and drastically reduce overall maintenance costs. In addition to reducing downtime, a technique can improve the availability of the process machinery and reduce total cost of the maintenance. This method isn't a substitute for traditional maintenance management, but it can help minimize the number of unexpected failures and provide a more reliable scheduling tool for routine preventive maintenance tasks. The approach adds significant value to the production processes by increasing efficiency and reducing unplanned and redundant costs.Predictive Maintenance is also applicable to buildings. Sensors can detect the condition of the building and store data that can be referenced to schedule maintenance


The technology has been gaining popularity as an asset management tool. It can be used to identify if an asset needs maintenance and the frequency of that maintenance. As a result, the technology reduce maintenance costs and maximize asset availability. Predictive Maintenance techniques are aimed to help users in determining condition of in-service equipment to evaluate accurate time for the maintenance. While preventive maintenance relies on best practices and historical data, predictive maintenance takes measurements from machine operations as they are occurring and uses this data to raise red flags when indications of a problem are noted.


Read More @ https://gloriousfreshcontentblog.blogspot.com/2023/01/predictive-maintenance-technology-that.html

collect
0
avatar
sachin sadgir
guide
Zupyak is the world’s largest content marketing community, with over 400 000 members and 3 million articles. Explore and get your content discovered.
Read more