Mittelstand 4.0-Kompetenzzentrum Darmstadt Mittelstand 4.0-Kompetenzzentrum Darmstadt
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Institut für Produktionsmanagement, Technologie und Werkzeugmaschinen (PTW)
Otto-Berndt-Straße 2, 64287, Darmstadt (Germany)
We support small and medium-sized enterprises (SMEs) in the digitisation of their production and business processes with practical offers. The spectrum ranges from orientation, analysis and qualificaton to individual support in the implementation of concrete solutions. We bundle expert knowledge in the five subject areas "Work", "Efficiency", "Energy", "Ideas" and "IT-Security". The focus is on questions that are of particular interest to SMEs in the context of digitisation. The “CiP” and “ETA” learning factories are central components of our knowledge transfer. The focus here is on the approach of action-oriented, work-related learning. In combination with proven training formats, this enables a fundamental understanding of methods and their practical application.
Mit praxisnahen Angeboten begleiten wir kleine und mittlere Unternehmen (KMU) bei der Digitalisierung ihrer Produktions- und Geschäftsprozesse. Das Spektrum reicht dabei von Orientierung über Analyse und Qualiﬁzierung bis hin zur individuellen Unterstützung bei der Umsetzung konkreter Lösungen. Wir bündeln Expertenwissen in den fünf Themenbereichen „Arbeit“, „Efﬁzienz“, „Energie“, „Ideen“ und „Sicherheit“. Im Fokus stehen dabei jeweils Fragestellungen, die für KMU im Kontext Digitalisierung besonders Unsere Angebote
relevant sind. Gerne unterstützen wir Sie auch persönlich – egal, ob vor Ort in Ihrem Unternehmen oder an unserem Kompetenzzentrum. Die Lernfabriken CiP und ETA sind bei uns zentrale Bestandteile der Wissensvermittlung. Dabei steht der Ansatz des handlungsorientierten, arbeitsbezogenen Lernens im Fokus. Im Zusammenspiel mit bewährten Schulungsformaten ermöglicht dies ein grundlegendes Verständnis von Methoden und ihrer praktischen Anwendung.
Link to national or regional initiatives for digitising industry
The Mittelstand 4.0-Kompetenzzentrum Darmstadt is part of the funding initiative „Mittelstand 4.0 – Digitale Produktions- und Arbeitsprozesse“ within the funding priority „Mittelstand-Digital – Strategien zur digitalen Transformation der Unternehmensprozesse“ government funded by the german Bundesministerium für Wirtschaft und Energie (BMWi).
With the help of Mittelstand 4.0-Kompetenzzentrum Darmstadt small and medium-sized enterprises (SME) are supported in digitizing their production and work processes in order to be long-term competitive. Within the competence center pracitcal fields of application are demonstrated. Its heart is the process learning factroy CiP ("Center for industrial productivity).
Market and Services
- Manufacture of basic metals and fabricated metal products
- Manufacture of machinery and equipment
- Other Manufacturing
- TRL3 - Analytical and experimental critical function and/or characteristic proof of concept
- TRL4 - Component and/or breadboard validation in laboratory environment
- TRL5 - Component and/or breadboard validation in relevant environment
- TRL8 - Actual system completed and qualified through test and demonstration
- TRL9 - Actual system proven through successful mission operations
- Awareness creation
- Ecosystem building, scouting, brokerage, networking
- Collaborative Researchs
- Incubator/accelerator support
- Education and skills development
Project: Active Component Traceability
KARL MAYER Textilmaschinenfabrik GmbH is the market leader and the driving force behind innovative textile machines. The heart of each machine - the core competence unit - is manufactured 100% in Germany.
Inspired by the workshop "Traceability als Voraussetzung für Industrie 4.0" (Traceability as a prerequisite for industry 4.0) of the Mittelstand 4.0-Kompetenzzentrum Darmstadt, employees brought the idea to the company to support their own assembly by component tracking. This type of traceability promises high potential - especially in terms of paperless production and decentralized process control. KARL MAYER Textilmaschinenfabrik GmbH has set up its own working group for this project, whose tasks are specifically supported by experts from the competence centre.More details: https://kompetenzzentrum-darmstadt.digital/Umsetzen
Coaching in industrie 4.0 knowledge through Workshops for hundreds of participants from different SMEs
Project: Program Generator
Implementation project at a SME (Munsch Chemiepumpen GmbH). The use case stems from Munsch chemical pumps GmbH, a German supplier for chemical pumps. The chemical pumps are designed according to customer requirements and most of the pumps are produced in the quantity of one piece. Due to varying dimensions of the components, each platform of the pump system has an individual bore pattern. This pattern varies in size and material of the platform, the number and size of threaded bores and the positions of the bores. In the initial situation, a drawing of the pattern was printed, and the individual CNC program was written by the operator directly at the machine tool control. The machining process of the platform was an unstable process with frequent rework (4%) and a throughput time of about one week (nine shifts). Defects of the platform bore patterns usually were found in assembly and caused delays in completing the pump system. Even though the platform is a simple component of the pump system, it has severe impact on assembly productivity and total throughput time.
Within the initiative “Mittelstand 4.0 – Digital Production and Work Processes” a project was carried out to improve the process. A CNC program generator was implemented that transforms geometry information from the product configurator into an individual CNC program. Fundamental for the implementation of the automated CNC program generation was the standardization of all factors that impact the program generation and the machining process itself. The rework rate was reduced down to 0.15 %. At the same time, the throughput time could be decreased from nine shifts down to less than one shift, and the on time delivery was raised to 100%. This indicates, that the process “platform machining” was stabilized by the implementation of automated CNC program generation and does not cause assembly stops anymore.
Project: Digital intralogistics
Jakob MAUL GmbH has been an innovative manufacturer of niche products for daily office needs for more than 100 years. High-quality products such as desk lamps, whiteboards and letter scales are produced in small series with 180 employees at two locations. The articles are exported worldwide.
Due to the highly fluctuating ordering behavior of customers and a mixture of raw materials, semi-finished products and merchandise in value creation, intralogistics is increasingly becoming a decisive success factor for the company within the value chain. Short throughput times for orders and material deliveries are crucial for success.
Within the scope of this project, the internal logistics processes were analyzed and optimization potentials were released through targeted digitisation within the value streams. By means of the results of this analysis, recommendations for tasks concerning the future value stream design are derived and bottlenecks become more visible. The transparency gained in the logistics value stream should enable targeted investments in new technologies in the future.More details: https://kompetenzzentrum-darmstadt.digital/Umsetzen
Demonstration of different Industrie 4.0 solutions in the learning factories auf the „Mittelstand 4.0-Kompetenzzentrum Darmstadt“ in order to sensitize SMEs
Project (formalized end time)
Number of employees
- National specific innovation funding
Number of customers annually
Type of customers
- SMEs (<250 employees)
- MidCaps (between €2-10 billion turnover)
- Large companies, multi-nationals
Technical University Darmstadt (TUDa)
Handwerkskammer Frankfurt-Rhein-Main (HWK)
Industrie- und Handelskammer Darmstadt (IHK)
- Sensors, actuators, MEMS, NEMS, RF
- Screens and display technologies
- Cyber physical systems (e.g. embedded systems)
- Internet of Things (e.g. connected devices, sensors and actuators networks)
- Artificial Intelligence and cognitive systems
- Interaction technologies (e.g. human-machine Interaction, motion recognition and language technologies)
- Cyber security (including biometrics)
- Data mining, big data, database management
- Augmented and virtual reality, visualization
- Simulation and modelling
- Cloud computing
- Additive manufacturing (3D printing)