Predictive Maintenance Use Cases in the Manufacturing Industry
We stand on the brink of a technological revolution today where almost everything is gradually becoming IoT-enabled. Downtime and low efficiency have been some of the biggest concerns for the manufacturing industry. While the traditional maintenance methods cannot meet today’s requirements, IoT-enabled predictive maintenance techniques are designed to help determine the condition of machines so that manufacturers can maximize machine availability.
“ The operational predictive maintenance market size is estimated to grow from USD 582.3 Million in 2015 to USD 1,884.3 Million by 2020, at a Compound Annual Growth Rate (CAGR) of 26.5%.” — Global Forecast to 2020
Predictive maintenance solutions enable companies to evaluate equipment condition so that they can create well thought out maintenance program and avoid sudden machinery breakdowns.
In this document, you will learn about various predictive maintenance programs and use cases
- How predictive maintenance is accomplished by remote monitoring
- Big data analytics for predictive maintenance
- Performance modeling and analytics for predictive maintenance
- Failure prediction for predictive maintenance
Originally published at go.softwebsolutions.com.