Predictive Maintenance
Predictive Maintenance is a way to prevent asset failure by analyzing production data and identifying issues before they occur. IIoT sensors can be combined with manufacturing equipment to facilitate condition-based maintenance alerts. Since equipment can be damaged over time, IoT sensors can help monitor the temperature, vibrations, or other factors that can be problematic operating conditions. So, predictive maintenance can help increase operational efficiency and reduce costs.
Error Prevention
Industrial IoT based applications can help prevent and reduce errors in the production flow and inventory management. IIoT can be leveraged to monitor the processes in production lines and can be used to provide recommendations for adjustments in operations for operational cost management.
Improved Safety
IIoT makes big data analysis more effective as it allows monitoring of key performance indicators of health and safety. Monitoring KPIs such as short or long-term absences, illness rates, employee injuries can help assure better working conditions and improve the safety of workers and the workplace.