Moritz Pastow
PROGRAMM MANAGER DIGITAL SERVICES & IIOT,
LEWA GMBH
LEWA GMBH
Software für die Verpackungsindustrie
Wir unterstützen Verpackungsmaschinen-Hersteller bei der Digitalisierung: von Bedien- und Tracking-Software über KI-gestützte Qualitätsprüfung bis zu datengetriebenen IIoT-Lösungen – nachhaltig und flexibel.
Why are standard IIoT solutions often not enough?
Standard solutions in Industrial IoT (IIoT) often reach their limits because industrial environments are heterogeneous, historically grown and highly individualized. Platforms can make it easier to get started, but are rarely able to fully represent real machine parks, existing IT systems and specific processes.
In practice, there are typical challenges:
The sustainable added value of IIoT only comes when data is precisely integrated and further processed — often through individual software development rather than through rigid standard platforms.
Why generic.de as a partner for IIoT projects?
Wir entwickeln individuelle Software für Verpackungsmaschinen-Hersteller mit dem Anspruch, dass sie sich nahtlos in IT- und Prozesslandschaften einfügt und nach dem Go-live nutzerzentriert weiterentwickelt werden kann.
Unser Vorgehen folgt dabei denselben Prinzipien, die unserer Clean-Code-Philosophie zugrunde liegen: klare Strukturen, verständliche Logik und Softwarequalität, die langfristigen Betrieb ermöglicht – statt kurzfristiger Übergangslösungen.
Individual software instead of platform thinking
We develop IIoT solutions tailored to your requirements — not within the limits of a standard product.
Clean code approach for IIoT software
The focus is on understandable, maintainable and expandable code that can be operated securely even after years.
Deep.NET and integration
Competence
Many years of experience with C#/.NET, interfaces, APIs and business systems form the basis for robust IIoT architectures.
Practical look at operation and development
Maintainability, security and scaling are considered from the outset — not just after initial start-up.
Which use cases can be implemented with individual IIoT software?
Individual IIoT software is used wherever industrial data is to be specifically evaluated, combined or used operationally. The added value comes from their concrete use for operational or control tasks.
Health and event monitoring
Transparency about machine states, downtimes or deviations as a basis for operational decisions — as our practical example of highly efficient smart monitoring in the LEWA reference shows.
maintenance and repair
Use of operating data to better plan maintenance measures and reduce unplanned outages. Find out how we minimize downtime in our reference LEWA.
Production and process analysis
Analysis of throughput times, bottlenecks or process deviations based on real production data. Our case study for coating systems shows how cross-site data analysis increases efficiency.
Quality-related data evaluation
Linking production and quality data for root cause analysis and process improvement. In our case study on process control, learn how AI-based analyses minimize the error rate in manufacturing.
Unsere referenzen
Ausgesuchte Case Study
Pains & Lösungen
Seit Jahren begleitet generic.de mittelständische Unternehmen und Konzerne in der Verpackungstechnik. Dadurch ist ein tiefes Verständnis für die typischen Spannungsfelder entstanden: Digitalisierung, IT und gewachsene Softwarelandschaften.
Pains
Lösungen
How we develop your ideal IIoT solutions
INVENT
Process analysis & idea development
1-2 weeks
Together, we analyze your processes, identify IIoT use cases and evaluate their business case — as a sound basis for deciding on your IIoT investment.
EXPLORE
Concept development of your IIoT solution
4-8 weeks
We design your IIoT solution as an intersection of business, technology and user requirements. To do this, we detail use cases, define interfaces and create a concrete implementation plan.
DEVELOP
Software development & implementation
6-X months
In Dual Track Agile Let us redevelop your IIoT software Clean Code Standard — iterative, user-centered and with continuous releases that add value to your company early on.
RECEIVED
Support & operation of your IIoT solution
continuously
We operate and maintain your IIoT solution, monitor system performance and ensure sustainable, secure operation with regular updates and technological development.
Your start with IIoT — realistically evaluate, define next steps.
faqs
The most common questions regarding IIoT software projects
Wann lohnt sich ein Softwareprojekt rund um Verpackungsmaschinen wirtschaftlich?
An IIoT project is economically worthwhile if measurable improvements can be achieved through the use of operating and production data. Typical effects include reduced downtime, lower maintenance costs or more efficient production processes. In many cases, economic benefits arise even with clearly defined applications. It is crucial to define the benefits early on and to set up projects in such a way that they can be gradually expanded.
Welche Risiken gibt es – und wie lassen sie sich reduzieren?
The most common risks associated with IIoT projects include unclear objectives and lack of integration into existing systems. These risks can be reduced by starting projects with clear questions and designing them in a technically clean manner. A step-by-step approach with pilot applications helps to gain experience.
Für welche Fachbereiche ist das Thema Software am relevantesten?
Industrial IoT is neither exclusively an IT nor a purely departmental issue, but an interplay between both sides. Business areas define goals, questions and desired benefits, while IT is responsible for integration, security, and operation. Successful IIoT projects are created where both perspectives are brought together early on. A clear distribution of roles and a common definition of goals are more important than the organizational allocation of the project.
Muss eine komplett neue IT-Infrastruktur aufgebaut werden?
IIoT generally does not require a completely new IT infrastructure. Many IIoT solutions build on existing systems and expand them in a targeted manner. It is important that relevant machine data can be made accessible and connected in a meaningful way. Instead of parallel structures, it is recommended to gradually expand the existing IT landscape in order to create sustainable and integrated solutions.
Welche Rolle spielen Cloud und Edge?
Edge und Cloud ergänzen sich: Nahe an der Maschine lassen sich Daten vorbereiten und zeitkritische Funktionen ausführen – wie die Echtzeit-Bildanalyse bei der KI-gestützten Prozesskontrolle. In der Cloud liegen Zusammenführung mehrerer Standorte, längerfristige Analysen und Skalierung. In der Praxis ist eine hybride Architektur üblich.
With what scope should a first IIoT project start?
Klein und klar begrenzt: ein überschaubarer Anwendungsfall mit erkennbarem Nutzen – z.B. Track & Trace für eine Produktlinie, KI-basierte Qualitätsprüfung an einer Verpackungsstrecke oder ein definierter Service-Use-Case. Danach lässt sich die Software gezielt erweitern.
What internal resources are required for an IIoT project?
An IIoT project usually requires contacts from specialist areas, IT and possibly maintenance. The size of the project team is less important than a clear responsibility and decision-making structure. Technical knowledge of processes and systems is just as relevant as technical know-how for integration. Close coordination between the parties involved makes a significant contribution to the success of the project.
How long does it take to implement an IIoT project?
The duration of an IIoT project depends heavily on the use case, the existing infrastructure and the scope of integration. Pilot projects provide initial results and help to better understand requirements.