Smart Factory solutions allow for insight into better processes and operator efficiencies.
The factory floor is an ideal spot to implement digital transformation and IoT solutions. While Smart Factory solutions have thus far been slow to adopt, General Electric predicts that Smart Factories and the Industrial IoT investment to top $60m over the next 15 years. The factory floor is a target rich environment for everything from data aggregators giving CFOs revolutionary OEE metrics to implementing toolsets that empower a new generation of millenial machine operators.
Here are 4 smart factory features being implemented that are transforming businesses:
- Empower Operators: As the new generation of millennial machine operators enters the market, industry must adapt their toolsets to the new workforce’s expectations. Instead of stale HMIs, implement wireless applications on rugged tablets that enhance the operators experience with things like Job Aides and Camera recognition.
- Automation through Integration: Next level machine to machine integrations allow for orders from an e-commerce system to be updated in a CRM and immediately sent to the factory floor for job automation.
- Data Aggregation: Machine isolation is one of the key challenges that needs to be overcome with any smart factory solution. Remote control is not required, but at minimum data collection and then aggregation with the other machines on the same line is a large step toward recognizing inefficiencies. Companies can remove the isolation through data aggregation and then the visualization and analysis of that aggregation to recognize and improve OEE.
- Predictive Maintenance and Supply Chain: Once your machines are connected and your data aggregated, target to minimize unscheduled downtime and improve your Supply chain through AI and Machine Learning tactics. Utilizing AI algorithms, inventory managers and manufacturers alike are predicting when repairable and replaceable items are due for maintenance allowing them to save on on-demand inventory and scheduling downtime for machine maintenance before costly unplanned downtime.