Fraunhofer Institute for Production Technology IPT
The EPIC Centre of Excellence
Kompetenzzentrum »EPIC« vernetzt Partner zum Thema Produktionsinformatik und cyberphysische Produktion.
Kompetenzzentrum »EPIC«
The core aim of the EPIC project is to establish a center of excellence as an internationally leading research institution in the fields of production IT, management and control shaped by outstanding research, development and innovation.
EPIC – Centre of Excellence in Production Informatics and Control
The EPIC research project aims to strengthen cyber-physical production by connecting partners and boosting cooperation projects. The great challenges in this new technological era during which IT and communications technologies will be fundamentally reshaped and revolutionized, will be answered by concentration of multidisciplinary, in part overlapping and in part complimentary expertise of EPIC’s partners in Hungary, Germany and Austria.
Facts and figures
The EPIC consortium consists of a cooperation between the Institute for Computer Science and Control of the Hungarian Academy of Sciences (MTA SZTAKI), two faculties of Budapest University of Technology and Economics (BME) and four institutions of the Fraunhofer Society (IPA, IPK, IPT, Fraunhofer Austria) coordinated by Hungary’s National Research, Development and Innovation Office (NRDI) as the department in charge of research, technology and innovation.
The program has been funded by the EU under the HORIZON 2020 initiative to the tune of around €10.8m. The total project budget is around €21.7m at a project term of seven years.
Publications from this project
| Jahr Year | Titel/Autor:in Title/Author | Publikationstyp Publication Type |
|---|---|---|
| 2023 | On the importance of domain expertise in feature engineering for predictive product quality in production Mende, Hendrik; Frye, Maik; Vogel, Paul-Alexander; Kiroriwal, Saksham; Schmitt, Robert H.; Bergs, Thomas |
Zeitschriftenaufsatz Journal Article |
| 2023 | Capabilities of the Intelligent Manufacturing Enterprise Schuh, Günther; Scheuer, Thomas; Padovano, Riley Colleen |
Zeitschriftenaufsatz Journal Article |
| 2023 | Multi-target regression and cross-validation for non-isothermal glass molding experiments with small sample sizes Mende, Hendrik; Kiroriwal, Saksham; Pfrommer, Julius; Schmitt, Robert H.; Beyerer, Jürgen |
Konferenzbeitrag Conference Paper |
| 2023 | Financial aspects of a trust-based resource sharing platform Szaller, Ádám; Fries, Christian; Kádár, Botond |
Zeitschriftenaufsatz Journal Article |
| 2023 | Concept for the Evaluation and Prioritization of Machine Learning Use Cases in Industrial Production Schuh, Günther; Cassel, Leonard; Uedelhoven, Marc |
Konferenzbeitrag Conference Paper |
| 2022 | Guideline for Deployment of Machine Learning Models for Predictive Quality in Production Heymann, Henrik; Kies, Alexander D.; Frye, Maik; Schmitt, Robert H.; Boza, Andrés |
Zeitschriftenaufsatz Journal Article |
| 2022 | Maturity Model for AI in Smart Production Planning and Control System Colangelo, Eduardo; Fries, Christian; Hinrichsen, Theresa-Franziska; Szaller, Ádám; Nick, Gabor |
Zeitschriftenaufsatz Journal Article |
| 2022 | Customer-Induced Planning Deviations within Order Management Fries, Christian; Bauernhansl, Thomas |
Zeitschriftenaufsatz Journal Article |
| 2022 | Defining the Intelligent Manufacturing Enterprise Schuh, Günther; Scheuer, Thomas; Padovano, Riley Colleen |
Zeitschriftenaufsatz Journal Article |
| 2022 | Simulation-based Learning of the Peg-in-Hole Process Using Robot-Skills Lämmle, Arik; Tenbrock, Philipp; Balint, Balazs Andras; Nägele, Frank; Kraus, Werner; Vancza, Jozsef; Huber, Marco |
Konferenzbeitrag Conference Paper |
| 2022 | Impact of Customer Order Change Dimensions on Order Management Fries, Christian; Szaller, Ádám; Bauernhansl, Thomas; Schuh, Günther |
Konferenzbeitrag Conference Paper |
| 2022 | Increasing Labor Productivity in Intelligent Manufacturing Enterprises: An Approach to Identify Relevant Capability Bundles Schuh, Günther; Scheuer, Thomas |
Konferenzbeitrag Conference Paper |
| 2022 | Impact of COVID-19 on production Geisert, Claudio; Baumgarten, Jeannette |
Studie Study |
| 2021 | Production rescheduling through product quality prediction Frye, Maik; Gyulai, Dávid; Bergmann, Júlia; Schmitt, Robert H. |
Zeitschriftenaufsatz Journal Article |
| 2021 | Expert System for the Machine Learning Pipeline in Manufacturing Frye, Maik; Krauß, Jonathan; Schmitt, Robert H. |
Zeitschriftenaufsatz Journal Article |
| 2021 | Benchmarking of Data Preprocessing Methods for Machine Learning-Applications in Production Frye, Maik; Mohren, Johannes; Schmitt, Robert |
Zeitschriftenaufsatz Journal Article |
| 2021 | A two-step digitalization level assessment approach for manufacturing companies Schuh, Günther; Scheuer, Thomas; Nick, Gábor; Szaller, Ádám; Várgedő, Tamás |
Zeitschriftenaufsatz Journal Article |
| 2020 | Case study on technological applications for production planning and control in the context of industry 4.0 Schuh, Günther; Scholz, Patrick |
Konferenzbeitrag Conference Paper |
| 2020 | Structured Data Preparation Pipeline for Machine Learning-Applications in Production Frye, Maik; Schmitt, Robert Heinrich |
Konferenzbeitrag Conference Paper |
| 2020 | Condition monitoring concept for industrial Robots Uhlmann, Eckart; Polte, Julian; Geisert, Claudio |
Konferenzbeitrag Conference Paper |
| 2019 | Adaptive scheduling through machine learning-based process parameter prediction Frye, Maik; Gyulai, David; Bergmann, Julia; Schmitt, Robert H. |
Zeitschriftenaufsatz Journal Article |
| 2019 | A hybrid simulation tool to improve the energy efficiency in production environment Zhou, Beiyan; Frye, Maik; Sander, Christian; Schmitt, Robert H. |
Konferenzbeitrag Conference Paper |
| 2019 | Quality Improvement of Milling Processes Using Machine Learning-Algorithms Frye, Maik; Schmitt, Robert H. |
Konferenzbeitrag Conference Paper |
| 2019 | Roadmapping towards industrial digitalization based on an Industry 4.0 maturity model for manufacturing enterprises Schumacher, Andreas; Nemeth, Tanja; Sihn, Wilfried |
Zeitschriftenaufsatz Journal Article |
| 2018 | The four-step approach for the creation of the HR Concept for the EPIC Centre of Excellence in Production Informatics and Control (EPIC CoE) Hecklau, Fabian; Orth, Ronald; Kidschun, Florian; Nick, Gabor |
Konferenzbeitrag Conference Paper |
| 2018 | Corporate Governance: The Evaluation Based Approach to the Governance and Business Models of the EPIC Centre of Excellence in Production Informatics and Control (EPIC Coe) Monostori, Laszlo; Kadar, Botond; Nick, Gabor; Pfeiffer, Andras; Vargedo, Tamas; Hecklau, Fabian |
Konferenzbeitrag Conference Paper |
| 2018 | Expanding production perspectives by collaborating learning factories - Perceived needs and possibilities Kemény, Zsolt; Beregi, Richard; Nacsa, János; Glawar, Robert; Sihn, Wilfried |
Zeitschriftenaufsatz Journal Article |
| 2018 | EPIC - Kompetenzschmiede im Donauraum Glawar, Robert; Kemeny, Zsolt |
Zeitschriftenaufsatz Journal Article |
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica
This list has been generated from the publication platform Fraunhofer-Publica