The four stages of digital transformation
Eltronic Digitalization Platform
Digital transformation
The integration of digital technology in manufacturing processes is how we understand digital transformation. To do that, we have developed the Eltronic Digitalization Platform that breaks industry 4.0 down into four stages.
The stages are designed to ensure a gradual and fully customizable integration of digital technology. This provides you with a flexible and future-proof solution.
Our Platform is license-based. This means that the functionalities integrated in your solution always match the current stage in your digital transformation process.
Are you ready for digital transformation?
Please contact us to learn how you can benefit from the four stages of digitalization
Send us an email
Click on the brochure to learn more about DIAP
Descriptive stage
Basic functionalities: Data collection and aggregation
The descriptive stage is a mandatory starting point for the digital transformation. With the Eltronic Digitalization Platform, your digital transformation begins with real-time monitoring of machines and equipment. The tools in the descriptive stage will help you detect faults, leaks and errors that will help you:
Minimize machine stops
Fasten your decision-making processes
Optimize machine performance
Performance stage
Add-on functionalities: Digital LEAN & OEE
Combining the basic functionalities with digital LEAN and OEE functionalities gives you a detailed understanding of the efficiency of your production. Registration of machine downtime and causes will provide you with:
Exact stop times
Knowledge about the most common downtime causes
Live OEE numbers
Predictive stage
Add-on functionalities: Maintenance management
Errors are more likely to occur if an industrial robot or assembly machine starts running irregularly. The knowledge gained by actively applying DIAP in your production provides operators and technicians with a strong basis for predictive maintenance. An upgrade to Maintenance 4.0 lets you:
Increase machine availability
Improve service continuously
Reduce unscheduled downtime
Prescriptive stage
Add-on functionalities: Self-learning and -adjusting machines
Artificial Intelligence and machine learning are ways of making work processes simpler and more efficient. The technologies have the potential of being the biggest driver of increased productivity. The autonomous nature of the functionalities will:
Boost employees' performance
Eliminate monotonous and labor-intensive tasks
Put industry 4.0 into practice
Please contact me if you are interested in knowing how your production can benefit from a digital transformation.
Send me an email
Henrik Daugbjerg-Pedersen
Business Development Director
