The Technology Campus Grafenau (TCG) is a research institution of the Deggendorf Institute of Technology and bundles the know-how of DIT in four interdisciplinary research fields "Smart Region" (Digital Village), "Business Data Analytics & Optimization", "Applied Artificial Intelligence", as well as "Artificial Intelligence for Context & Activity Recognition". The research fields are geared to the major challenges of our time: digitalisation in industry and society, urbanisation, sustainability.
In close cooperation with trade and industrial companies, municipalities and research institutions, the highly qualified team of approx. 40 employees works on future-oriented projects such as digitalisation in rural areas, industry 4.0, reduction of food waste, sensor data analyses and fraud detection. Core competencies include algorithm and app development, database and cloud technologies, material flow optimisation, statistical data analysis and machine learning. The TCG is committed to the Bavarian Forest region and pursues its vision of demonstrating, strengthening and further developing its diverse potential: Silicon Forest.
12 July 2019: Open Day at the Technology Campus Grafenau
28 June 2019: Presentation of the University Prize of the city of Deggendorf by the Bavarian Prime Minister Markus Söder
18 July 2018: Visit by Federal President Frank-Walter Steinmeier
26 January 2016: Move into the new campus building on the Stadtberg in Grafenau
17 April 2015: Foundation stone laid for Technology Campus Grafenau
April 2014: Approval for an innovative new campus building in the city centre of Grafenau
1 October 2013: Official recognition and establishment of the Technology Campus Grafenau
19 March 2013: Bavarian Cabinet approves start-up financing for five years
3 June 2012: Application for the establishment of a Technology Campus and start-up financing at the Bavarian State Ministry of Science, Research and the Arts
May / June 2012: Move into temporary premises in Grafenau (Neudorf)
April 2012: Release of first project funds (BMWi: ZIM NEMO): Network Sustainable Logistics - CO2-optimised Route Planning, Navigation, Driving Assistance and Controlling
12 May 2011: Foundation of the Competence and Research Network Logistics in Grafenau with 13 network partners
Summer 2010: Initiation of the establishment of a Technology Campus Logistics by companies of the region and the regional management Freyung-Grafenau
Data is often referred to as the oil of the 21st century. Like oil, data is just a raw material that needs to be cleaned and refined and is worthless without application.
With a team of experiences experts from various fields, the "Business Data Analytics & Optimization" reserach group carries out application-oriented research projects to refine data, extract knowledge and transfer this knowledge to companies, public administration and the general public and make it sustainably useful for them.
We help you formulate the right questions, identify the relevant data and data sources, integrate them and transform them into information and knowledge with the help of innovative tools.
Our spectrum ranges from the use of classical statistic methods and data mining to machine learning, simulation and optimisation algorithms. Our focus is on the development of user-friendly solutions characterised by intelligents human-machine interaction.
Typical fields of application are demand forecasts, analysis and optimisation of inventories, analysis of machine data, optimisation of machine settings and production parameters, analysis of clickstream data, production planning and value stream analyses.
Your contact for further questions: Dr Michael Scholz
With applied methods of Artificial Intelligence we are able to raise unused data treasures. We develop solutions to derive business-relevant proposals for action from your data, e.g. in personnel planning or demand forecasting. We focus on direct economic benefits and smooth integration into established business processes.
Your contact for further questions: Prof. Dr. Benedikt Elser
The goal of the fourth focus area "Artificial Intelligence for Context and Activity Recognition" is to motivate people in need of care to lead active lifestyles and thus to enable them to lead self-determined lives at home for as long as possible.
To this end, we are developing body-worn and ambient sensor systems whose data we evaluate using artificial intelligence methods. On the one hand, such systems can be used to continuously collect relevant health markers and thus provide forecasts on the state of health of those in need of care. On the other hand, they are designed to detect acute emergencies and ensure that everything is in order. This way, these systems help to make the care system more efficient and relieve the burden on nursing staff.
Your contact person for further inquiries: Prof. Dr. Florian Wahl
For centuries, rural areas have been the centre of people's lives and work. As a result of urbanisation, it is increasingly disappearing from the global public consciousness, the city has asserted itself. Rural regions are often left behind - mobility, medical care and access to education are limited and the quality of life correspondingly diminished.
We feel connected to our region and therefore develop strategies for rural areas: intelligent - innovative - integrative - digitally networked.
The aim is to make the best possible use of the opportunities offered by digitisation to meet the everyday challenges of life in rural areas - holistically, across generations and for all sections of the population.
Our spectrum includes sustainable optimisation measures and digital solutions for practical applications. Our strength lies in the analysis, design and development of digital everyday helpers. Our interdisciplinary team develops tailor-made concepts in close cooperation with the population, local authorities and companies.
Regional sustainability is achieved through the development of joint, long-term research projects. Cost reduction, efficiency increase, service improvement and the formation of regional networks are the tools of the modern and attractive rural area of the future.
Your contact person for further inquiries:
Our fields of activity include market-oriented offers, which we tailor to the needs of our customers, clients and development partners.
Here you will find a wide range of technology and consulting services for various functional areas in companies and organisations as well as development solutions for specific industries. Our services reflect the current state of research. We are neutral, objective and not fixed on a specific solution. Experts from various fields work together and develop cross-sectional solutions. Upon request, we integrate students into ongoing projects in order to qualify them for specific companies and projects.
The Technology Campus Grafenau cooperates regionally and supraregionally with partners from industry and education. In addition, there are numerous cooperation partners in our research and corporate projects of the individual working groups.
If you would like to become a partner, we look forward to hearing from you. We are happy to support you with research projects and applications.
We hold regular entrepreneur conferences for our cooperation partners, find out funding opportunities for innovative projects, support research applications and student projects.
The Technology Campus Grafenau or its management is represented as a member in numerous organisations.
Bundesvereinigung Logistik Das Logistik-Netzwerk für Fach- und Führungskräfte |
Die Gesellschaft für Operations Research e.V. Förderung von Einsatz von Operations Research in Wissenschaft und Praxis |
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Cluster Mechatronik & Automation e.V. Netzwerk Bayern |
BME Bundesverband Materialwirtschaft, Einkauf und Logistik e.V |
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Logistics Research Austria Kooperationsinitiative österreichischer Universitäten, Fachhochschulen und außeruniversitären Einrichtungen für Forschung & Entwicklung in den Bereichen Logistik, Supply Chain Management & Verkehr |
IHK Verkehrsausschuss Der Verkehrsausschuss ist ein Fachgremium für Verkehr, Logistik und Infrastruktur in der Region |
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IT-Logistikcluster Branchennetzwerk der Logistik- und IKT-Branche |
EUREGIO Bayerischer Wald - Böhmerwald - Unterer Inn Grenzüberschreitende Zusammenarbeit |
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Dialog Textil Bekleidung Zusammenschluss der Industrie |
The following publications database provides an overview of the publications of the members of the Technology Campus Grafenau. You can search by author, organisational unit and publication type as well as by free text entry.
clickstream
The R package clickstream can be used to analyse clickstream data as it is generated in online shops. Besides a prediction of the next clicks, a segmentation of customers based on their click history as well as a visualisation of the click behaviour of customers are possible.
License: GPL-2
Link: https://cran.r-project.org/package=clickstream
hypercube
The R package hypercube allows the application of typical OLAP operations to multidimensional data in R. Furthermore, various characteristic values of multidimensional data can be calculated and the data can be visualised by means of parallel coordinate plots.
License: GPL-3
Link: https://cran.r-project.org/package=hypercube
matman
The R package matman contains numerous functions for material management. In particular, functions are implemented to perform an ABC and ABC/XYZ analysis to identify products that "perform" above or below average and to predict temporal developments of products.
License: GPL-3
Link: https://cran.r-project.org/package=matman
ShinyQuickStarter
ShinyQuickStarter is an add-in for RStudio and allows the easy creation of Shiny apps by means of an interactive graphical user interface. The Shiny apps can already be structured modularly and their appearance and navigation can be adapted.
License: GPL-3
Link: https://cran.r-project.org/package=ShinyQuickStarter
WordOfMouth
WordOfMouth is an R package that can be used to predict various economic variables for word-of-mouth campaigns. Thus, an estimation of the profit-maximum price depending on the intensity of word of mouth as well as an estimation of the demand is possible.
License: GPL-3
Link: https://cran.r-project.org/package=WordOfMouth
Dahoam 4.0 Apps und Lösungen
As part of the "Digital Village" projects, a large number of apps and digital solutions have been developed under the brand Dahoam 4.0. Via the link below you can find the entire portfolio, from th town hall app to the digital care compass and the installation of digital notice boards.
Link: https://www.dahoamviernull.de/apps-loesungen/
Contact: kontakt@dahoamviernull.de
Dahoam 4.0 Downloads
Magazines with stories from our projects, flyers with information about the projects and individual sub-projects, and project results.
The print products created in the "Digital Village" projects can be downloaded under the following link:
Link: https://www.dahoamviernull.de/downloads-presse/
Contact: kontakt@dahoamviernull.de
BLADL Handlungsempfehlung
In the project „BLADL – Besser Leben im Alter durch Digitale Lösungen“ (Better living when getting older through Digital solutions), a recommendation for action for municipalities on educational offers for senior citizens was developed.
Contact: kontakt@dahoamviernull.de
We are constantly looking for experts with academic backgrounds in computer science, data mining and statistics as well as in purchasing, logistics and SCM.
Especially in the field of data analysis, unsolicited applications are welcome.
Applicants interested in working in the field of data analysis should have a university degree in relevant subjects and sound knowledge of statistics, data mining or machine learning. A completed doctorate is an advantage. Very good experience in dealing with statistics software and programming skills are required.
At the moment we are looking for:
Current job applications can be found in the university portal.
Student assistants:
The Technology Campus Grafenau is looking for support from student assistants from the study courses:
Unsolicited applications are best sent to you: Franz Wilhelm
Deggendorf Institute of Technology Hauptstraße 3 +49 8552 975620 0 info.tc-grafenau@th-deg.de |