Introduction
When IoT benefits get real
Predictive maintenance is one of the areas that has had significant impact from IoT technology.
In the past, scheduled maintenance at intervals was the way to reduce machine/ plant failure. This method of predictive maintenance was not an accurate one. It resulted in replacement of machine parts or entire machinery with the assumption that it was overused and replacing it will help in prevention of equipment failure.
IoT technology uses sensors and data analysis which allows companies to spot patterns in machines’ performance and predict when a failure might occur. This insight allows delivering huge productivity benefits and eliminate unplanned downtime.
Problem
Random machine failure is a normal event in a shopfloor set-up. What ensues is a spill over effect such as damage connected to other equipment, safety risks, unplanned downtime resulting in overtime and other costs.
- Unpredictable machine downtime
- Higher costs
- Quality issues
Solution
A predictable approach removes all the guess-work from the shopfloor. IoT uses sensors to collect necessary data and analytics using AI/ML methods and machine monitoring. This helps to monitor equipment continuously with greater accuracy.
- Forecast on machine downtime
- Data collected provides context
- Savings
