Discover the digital potential of your skilled crafts business! The Mittelstand-Digital Zentrum Handwerk supports you in taking advantage of the opportunities offered by digital technologies, processes and business models - free of charge, vendor-neutral, Germany-wide.

The digital needs analysis provides skilled crafts businesses with information on the degree of digitalization in your company and on further development potential.

As an independent research institution, the KFN has the task of conducting and promoting basic and practice-oriented criminological research.

The L3S Research Center develops methods and technologies for digital transformation and researches the effects of digitization.

The CARE tool offers particularly small and medium-sized enterprises an individual risk assessment with regard to their exposure to various cyberattacks combined with corresponding action recommendations to reduce the greatest risks.

The risk assessment is based on the data set of a representative survey of 5,000 companies in Germany and is carried out after completing a ten-minute questionnaire on various characteristics of the company and security measures already implemented.

Mittelstand-Digital provides small and medium-sized enterprises and the skilled crafts sector with guidance on digital transformation, informs them about the opportunities and challenges of digitization, and provides financial support for digitization projects.

The Mittelstand-Digital competence centers have set up an information platform for their demonstrators. In this way, the centers make digitalization a tangible experience and use practical application examples to demonstrate where medium-sized companies can start in their own businesses. The new online platform provides an overview of what can be tried out on site or digitally.

The L3S Research Center develops methods and technologies for digital transformation and researches the effects of digitization.

For many companies, especially those that are medium-sized or small, it is often difficult to navigate the plethora of existing AI technologies. The L3S Research Center offers a wide range of consulting services ranging from data analytics to image recognition to assist companies in selecting and deploying the appropriate technologies. 

CISPA leistet durch die Kombination von Grundlagenforschung und Transfer in innovative Anwendungen einen maßgeblichen Beitrag zur Digitalisierung von Wirtschaft und Gesellschaft.

Grundlagenforschung ist die Basis vieler Innovationen. Start-ups stellen eine Möglichkeit dar, durch die Kommerzialisierung dieser Innovationen einen Mehrwert für Gesellschaft und Wirtschaft zu schaffen. Daher unterstützt CISPA Wissenschaftler:innen bei dem Transfer der Forschung in neue Geschäftsmodelle und baut ein Venture-Ökosystem auf. Der CISPA Inkubator unterstützt dabei mit einer großen Bandbreite an Workshops und Beratungsdienstleistungeen.

Ein Team an Business Development Manager:innen und technischen Berater:innen unterstützt daher angehende Gründer:innen in der Ideen- und Gründungsphase. Bei der Konzeption und Realisierung neuer Geschäftsmodelle im Bereich IT-Sicherheit umfasst diese Unterstützung:

• Personelle Besetzung von Venture-Teams und Mitgründer:innen-Suche
• Coaching bezüglich Ideenevaluation, Produktentwicklung, Geschäftsmodell-Konzeption und Markteintritt
• Moderierter Austausch mit international renommierten Forschenden bei Ideenfindung und Produktentwicklung.
• Unterstützung bei Fundraising durch öffentliche Förderprogramme und private Wagniskapitalgebern
• Erleichterter Markteintritt durch ein internationales Netzwerk an industriellen Forschungspartnern

The Mittelstand-Digital Zentrum Hannover is part of the Mittelstand-Digital network. The funding priority offers small and medium-sized enterprises comprehensive support for digitization with the Mittelstand-Digital Centers, the Initiative for IT Security in Business and Digital Jetzt. They benefit from concrete practical examples and tailored, vendor-neutral offers.

Many medium-sized companies in the manufacturing sector are organized according to the workshop production principle. In this context, machine assignment and sequencing is a complex optimization problem. (Flexible Job Shop Scheduling Problem). The demonstrator of the Mittelstand 4.0 Competence Center Hannover illustrates how quantum-inspired digital annealing can help to solve this challenge in the shortest possible time and with high quality. Via a user interface, visitors are first shown the simple handling of the optimization tool and an optimization is carried out jointly. Afterwards, a material flow simulation visualizes the result using the example of a Tesa-Roller production line. The direct comparison with widely used allocation and sequence rules immediately shows the productivity potential.

The demonstration factory of the Mittelstand 4.0 Competence Center Hanover shows intelligent digitalization solutions from comissioning to manufacturing and assembly to quality control. Visitors can experience digitalization solutions by experiencing first hand the production of a pen in batch size 1. One of the stations - consisting of a lathe and a bar storage system - shows the manufacturing process of the pen's grips made of aluminum bars. Here, an AI-based solution has been implemented to monitor the supply of material by the bar feeder. Workers receive a warning message as soon as a foreign object is detected in the system. In this way, unplanned machine downtime can be avoided.

A learning visual control system was built for monitoring, which provides as output information about the state of the warehouse and the location of the objects in it. The developed deep learning model is able to locate and describe the objects in the aluminum rod bearing. All calculated information (type and position of the object) is visualized and integrated into an image streamed from the camera.

Quality checks along the entire production process can reduce costs, simplify workflows, and increase product and process quality. For this, automated, data-rich, and cross-process quality assurance is a suitable tool.

But not every company is already fully automated and has end-to-end machine data evaluation in real time. In this case, it may be a matter of implementing partial solutions. An example of such a partial solution can be found in the demonstration factory of the Mittelstand 4.0 Competence Center in Hanover: here, quality inspection was implemented with the help of a collaborative robot, sensors and artificial intelligence. The quality inspection can be flexibly integrated into different process cycles.