Digital factory: Is your factory making the right steps?
Is your factory making the right steps towards the adaptation of a Digital factory?
Industry 4.0 and Smart factory trends convince factories of how critical it is to gain deep insight into their manufacturing data in order to enable control and drive the best factory’s results. The main idea is to utilize advanced technologies like manufacturing intelligence and machine learning in order to establish efficiently with zero defects on manufacturing lines.
Some factory efforts and methodologies towards a Digital factory are: Big data; Self-configuration; Self-diagnosis; Cognitive and machine learning to support workers in their increasingly complex work.
Smart manufacturing technologies enhance the manufacturing process continuously collecting and analysing your data in real-time to achieve and maintain quality performance. The target is to achieve a significant increase in efficiency and yield while reducing waste and inefficiency.
The adoption of AI and an autonomous system controlled by data and machine learning is happening and you should know about it. Computers are connected and communicating with one another. A software can today integrate and analyse any type of manufacturing data from any factory worldwide. As a result, an interactive analytics dashboard that includes prediction and automatic alerts of anomaly detection is already a reality.
A combination of extensive experience in the manufacturing industry and years of R&D and technology development has brought us to understand that the internet of things came to change the way we see and use our data, and keep doing that everyday smatter.
Digital Factory -Full data integration
Data harmonisation, creating a global unified database, is a critical need in order to make your factory digital. The analytics solution will analyse the data using advanced analytics algorithms and machine learning. Factories become more productive and efficient by adapting to digital factory technologies.
Still, many industries and manufacturers still wonder if the power to share all this information will really impact their business. It’s a matter of being able to identify opportunities. Using advanced analytics will analyse and create smart collections between stages of productions that would be impossible for a human being to do on a daily basis.
Industries that already took those steps report an 30% increase in quality and yield in the first year of use. Companies can Reduce downtime incidents and reduce production time per product which will erase. Changes are for significant advantage. By quickly and efficiently knowing what needs attention, manufactures can optimize their operations, reduce waste and faulty products returned from customers.
Quality control in manufacturing
Smart manufacturing technologies enhance the manufacturing process continuously collecting and analyses your data in real-time to achieve and maintain quality performance.
Our clients report a 30% increase in quality and yield in the first year of use. Companies can Reduce downtime incidents and have an average of 4 months ROI (return on
How does it work?
QualityLine automatically creates an analytics and interactive dash boarding system that automatically predicts and sends alerts for any anomaly detection to prevent degradation in the manufacturing process.
Our remote monitoring solutions let you gain full end-to-end transparency over the whole manufacturing cycle with accurate information about each unit tested. An automated root cause analysis will reduce manufacturing waste and minimize failure rate, improving your production efficiency and quality.