Category: Predictive maintenance

Predictive maintenance – Increase uptime while reducing maintenance costs

Predictive maintenance – Increase uptime while reducing maintenance costs

IIOT and advanced robots are generating more data than ever before. However factories’ analytics capabilities have not caught up to this. According to Fero Labs  manufacturing companies discard 98% of all the data they can collect because they do not have the analytics capabilities to integrate that data in their operations.

Predictive maintenance and industry 4.0 companies step in to fill that gap. They allow companies to store and analyze critical outputs of their machinery. One of the key things to do with that data is to improve maintenance and input parameters of their machinery. Read more

Predictive maintenance vs preventative maintenance: We have the framework to help you choose

Predictive maintenance vs preventative maintenance: We have the framework to help you choose

As you can see above, if setting up analytics is not more costly than reduced uptime, then predictive analytics is the solution.

Let’s look at why. Most executives are not clear on difference of predictive maintenance from the preventative maintenance they have been conducting for years. It would be great to start off with the definitions to clarify misunderstandings:

Predictive maintenance: Perform maintenance when you predict that issues will arise. Improves up-time and prolongs hardware useful life. Keeps maintenance costs minimum since maintenance will only be completed when predicted and maintenance will be planned preventing urgent resource allocation inefficiencies. Requires an analytics engine to make maintenance predictions. Makes sense when the investment for analytics engine is worth the improvement in up time. Read more