Maintenance is a strategic concern when developing and manufacturing products, but a third of all maintenance activities are carried out too frequently and half are ineffective. For machine operators and factory managers, preventative maintenance and asset repairs consume unnecessary resources, eat into operational costs and cripple efficient operations.
So what’s the solution?
Manufacturers are turning to the Industrial Internet of Things (IIoT) for a smarter approach, continually analyzing behavior data to inform actionable insights that predict product failure, increase uptime and improve asset efficiency.
This white paper covers:
- Why predictive maintenance has become the top business objective for progressive manufacturers
- The leading approaches to implementing predictive maintenance, including rule-based and machine-learning implementations
- A pragmatic approach for manufacturers to implement predictive maintenance with the least technical and organization friction
This white paper was produced by Seebo.