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ENLYZE is looking for partners to make extrusion companies around the world more digital, efficient, and automated together.
Industrial IoT is a key building block for machine engineering companies in establishing value-added services (VAS). How are you positioned here today? What new services could you offer your customers if you had a capable digitalization partner by your side? Can you strengthen your customer loyalty further or even open up new business models through new services?
ENLYZE is a rapidly growing tech company from Aachen / Cologne. With our Shop Floor BI, we help extrusion companies digitize their production reporting and formulation management. As a tech company, we created a culture that allows us to attract the most capable tech talents and provide them with an environment in which they can deliver their best performance. In a world where it is becoming increasingly difficult to find competent and motivated employees, this situation represents a significant competitive advantage. Benefit from this advantage, which leads to excitement among our customers through implementation speed, flexibility, and scalability.
In recent years, we have tailored our technologies and processes to fully digitize any production facility within a few hours, securely and efficiently transferring process data to a cloud archive and making it uniformly available. Perhaps one of your facilities or one of your competitors was also involved?
With our technologies in the background, we learn day by day that the application fields and possibilities around the topic of machine data are very diverse – not only from the perspective of an extrusion company. For example, we have been working with Deutsche Leasing since the beginning of the year to create a technical basis for billing in pay-per-X models.
We now face a question: How can we further develop together with another partner? What could that mean for you – new revenue streams and stronger customer loyalty through deeper integration of you as a machine builder in the daily lives of customers?
We are convinced that we can act as information intermediaries between your customers and you as plant builders, thus strengthening mutual trust. By building our own use cases on our IIoT data platform, you have the opportunity
to realize the fastest commissioning of new plants through data-driven support in ramp-up to production,
to establish the world's best full-service provider for the maintenance of any extrusion equipment,
to drastically reduce the development costs of new products through digital twins of the facilities by virtualizing trials / DoEs
and certainly much more when we start to think together...
Two points are certain for us today:
Increased collaboration will becoming more important.
The larger we think together, the more important clear focus and targeted implementation become.
Therefore, we are currently looking for exactly one partner with whom we can eagerly dive into the partnership and elevate extrusion globally to a new level.
Three top providers of OEE software in the German-speaking market
Now we want to compare three well-known providers of OEE software and illuminate their strengths and weaknesses. Keep in mind that there is no general "best solution", but rather, depending on requirements, some solutions fit better than others.
Overview
Calculates the OEE from machine data and thus enables more in-depth root cause analyses to improve the OEE.
Calculates the OEE using sensors, without machine data. Therefore, it is quickly ready for use, but no root cause analysis is possible.
Offers comparable OEE functions. However, often associated with extremely long implementation duration and costs.
Strengths
If MPDV Hydra is already being used, no additional software needs to be purchased
Weaknesses
More expensive than a pure OEE tool
No capture of machine data, therefore no possibility for root cause analysis
Tool is limited to OEE calculation
Long implementation times
Often connectivity providers need to be purchased
Restricted OEE functions
No independent configuring and customizing
Become an OEE expert with our OEE series
Here you will learn how to calculate and improve OEE in the long term.
Read more