Centre of Excellence in Production Informatics and Control

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Project Leaflet

The task covers preparing leaflets as dissemination materials, with updates taking into account project progress. The goal of the task is to reach a (geographically and by sectors) wide range of stakeholders, both to disseminate project results and favour cross-fertilization.

EPIC Flipboard Magazine

An online digest of current EPIC topic related developments will be created using the Flipboard (flipboard.com) social-network aggregation, magazine-format application software. The EPIC Flipboard magazine will integrate scientific and technological news and articles from both the consortium and media outlets from around the world and present them in a digital magazine format where pages can be “flipped”. First version will be available M6, while regular updates will follow during the whole project period.

Dissemination actions report (e.g.: publications, events organisations, special issues editing, press releases)

Objectives- Scientific dissemination to boost visibility and international reputation of staff/institutions involved,- Incite overtures for fruitful new scientific collaborations,- Stimulate increase in academic citations and international impact.Dissemination activities such as publications, events, specials issues, press releases will be summarized in the deliverable .

Design and publishing of the project's official web-site and local partner web-sites

The project’s official web-site is to be the linking point between EPIC partners and outer communities. The essential principle for the site development is the requirement to be content rich, up-to-date, easy to navigate. An Intraweb facility for sharing of internal documents by consortium members will be provided as well. In addition, each partner will have a web page on its local server containing an overview of the project and linked to the project’s official site.Updates will follow the project evolution.

Mobilized researchers and scientific and transversal skills report

Objectives- Advancement of S&T experience and knowledge of researchers,- Enhancement and diversification of the research potential, improvement of analytical capabilities and implementation of new research methods,- Exposure of scientific staff to different schools of thought, to multicultural/ethnical environment, different history and different cultural values at each hosting partner,- Development/ enhancement of researchers skills in teamwork and other transversal skills,- Establishment of personal contacts and links among staff of partner institutions.

Workshop-series (events and report)

In conjunction with the plan elaborated under T7.5, this task will cover the organization of workshops with industry to support user-driven innovation, collaborative projects with industry and technology transfer. Workshops will be based on past experience events like the Fraunhofer Energy Efficiency Days and national events explicitly inviting industry and SMEs, respectively. The workshops will have two main thematic aspects: (1) To extend contact with industry and gain more insight into current demands and needs. In return, the research consortium presents novel research trends and results from the partners’ expertise. The mixture of presenting contents from all participants and interactive sessions like personal dialogues, discussion rounds in smaller groups, speed networking slots and concepts like world cafés will bring participants closer together. (2) Innovation acceptance and avoiding fear of technology. Besides all progress and manifesting visions in the ICT, users who need to apply technology within their daily working business must benefit and therewith accept technology. This is only possible if innovation meets user expectations, facilitates their lives and avoids mistrust related to the individual privacy.A one-day workshop including analysis of theories of gender, diversity, equality, and migration from an integration point of view will be organised.This task is part of the EPIC sustainability actions. The workshop will overview funding opportunities given by Community Programmes, Transnational and Territorial Cooperation, Intergovernmental, EU & Beyond Programmes, respectively proposal evaluation procedures and will draft concrete proposals for future collaborations. Relying on the synergy map elaborated under T9.9, it will be an invitation-based event, where strategic academic and industrial partners of EPIC members will be purposely invited to form consortia on topics related to the EPIC theme. Furthermore, recommendations for funding boards (e.g.: NKFIH) in emerging technologies related to the topic will be formulated as well.

Catalogue of Apps for iAcademy Online Learning Platform

The Fraunhofer Academy is the Fraunhofer-Gesellschaft's specialist provider of continuing education and provides the software iAcademy, a learning app produced specifically for mobile devices, turning them into an efficient tool for educational training. The iAcademy app organizes the teaching content of the continuing education programs in a learning map based on modular units, with quizzes to monitor learning progress and additional multimedia content in the form of videos, graphics and learning games. During the project, the partners will continuously develop mobile learning modules and publish it for free as a download in the iAcademy online store. As a starting point, educational content regarding Cyber Physical Systems, Industry 4.0 and Data Analytics will be provided. Further content and offers will be derived from the initial survey from T6.1.

Digital Learning CPPS-Toolbox

The task aims to demonstrate to the manufacturing and logistics industry how they can improve their processes by implementing novel CPP strategies by:- Providing industrial examples- Sharing success stories (Good Practices)- Providing training objects which can help to think differently- Providing elements (Focused on SME) to guide a company in such a strategic processTherefore, a Digital Learning CPPS-Toolbox is developed based on the specific needs of the target market derived in T6.1. Once the Digital Learning CPPS-Toolbox is launched the Project partners will continuously fill this Toolbox with content and share it with the targeting market. The content of this Digital Learning CPPS-Toolbox will be compatible with smart phones and digital tablets to improve the usability and raise excitement.

Pubblicazioni

Factory of the Year Prize – A Benchmarking

Autori: Viola Gallina, Zsolt János Viharos, Gabor Nick, Maik Frye, Andreas Kluth, Robert H. Schmitt
Pubblicato in: "18th IMEKO TC10 Conference ""Measurement for Diagnostics, Optimisation and Control to Support Sustainability and Resilience""", 2022
Editore: IMEKO
DOI: 10.21014/tc10-2022.005

Investigation of drilling-induced delamination considering mechanical supporting conditions in glass fibre reinforced polymer (GFRP) composites

Autori: LUKÁCS Tamás, GEIER Norbert
Pubblicato in: 32nd International Conference on Mechanical Engineering, 2024
Editore: EMT Hungarian Technical Scientific Society of Transylvania

Semi-automatic process control for efficient refurbishment of turbine blades.

Autori: E. Uhlmann, J. Polte, C. Mühlich, S. Mönchinger, P. Ebrahimi
Pubblicato in: 23rd International Conference of the European Society for Precision Engineering and Nanotechnology, 2023
Editore: EUSPEN

PIKTOR-O-BOT: INTEGRATED IMAGE PROCESSING ALGORITHMS FOR PORTRAIT DRAWING ROBOT APPLICATIONS

Autori: Anh Tuan Hoang, János Csempesz, Tamás Cserteg, Zsolt János Viharos
Pubblicato in: IMEKO (World Congress 2024), 2024
Editore: IMEKO (World Congress 2024)

Structured Analysis of Methodologies for the Assessment of the Technological Capability of RTOs – Using a Method Engineering Approach.

Autori: Hecklau, F.; Kidschun, F.; Kohl, H.; Tominaj, S
Pubblicato in: ECIE 2020 - 15th European Conference on Innovation and Entrepreneurship, 2020, ISBN 1912764687
Editore: ECIE

Benchmarking of Data Preprocessing Methods for Machine Learning Applications in Production

Autori: Maik Frye, Johannes Mohren, Robert H. Schmitt
Pubblicato in: 2021
Editore: Elsevier
DOI: 10.1016/j.procir.2021.11.009

Digital twin assisted workpiece referencing for compensating the stock deviation of casted parts

Autori: Tamás Cserteg, Gábor Erdős, Gergely Horváth, András Kovács
Pubblicato in: Procedia CIRP, 16th CIRP Conference on Intelligent Computation in Manufacturing Engineering, 2023
Editore: Elsevier
DOI: 10.1016/j.procir.2023.06.050

Investigation of multi-axis edge trimming technology of carbon fibre-reinforced polymer (CFRP) composites in terms of machining-induced burr and surface roughness

Autori: TIMA Tamás Sándor, GEIER Norbert
Pubblicato in: 32nd International Conference on Mechanical Engineering, 2024
Editore: EMT Hungarian Technical Scientific Society of Transylvania

Identifying and Analyzing Data Model Requirements and Technology Potentials of Machine Learning Systems in the Manufacturing Industry of the Future

Autori: Gunter Schuh, Paul Scholz, Thomas Leich, Richard May
Pubblicato in: 2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS), 2020, Pagina/e 1-10, ISBN 978-1-7281-9105-8
Editore: IEEE
DOI: 10.1109/itms51158.2020.9259303

Reducing remanufacturing uncertainties with the digital product passport

Autori: Barna Gal, Adam Szaller, Daniel Bachlechner, Elisabeth Zudor, Wilfried Sihn
Pubblicato in: Proceedings of the 18th Global Conference on Sustainable Manufacturing,, 2022, ISBN 978-3-031-28838-8
Editore: Springer, Cham
DOI: 10.1007/978-3-031-28839-5_7

Reconfigurable Production Systems (RMS) - First Results of A SurveyAbout the Intelligent Production of the Future

Autori: Nick Gábor, Szaller Ádám, Christian Fries
Pubblicato in: 2021
Editore: Elsevier
DOI: 10.1016/j.procs.2021.01.137

Extension of the CCMS 2.0 maturity model towards artificial intelligence

Autori: Gábor Nick, Andrea Kő, Ádám Szaller, Klaudia Éva Zeleny, Botond Kádár, Tibor Kovács
Pubblicato in: IFAC-PapersOnLine, 2022, ISSN 2405-8963
Editore: Elsevier
DOI: 10.1016/j.ifacol.2022.09.403

Identification and Characterization of Challenges in the Future of Manufacturing for the Application of Machine Learning

Autori: Gunther Schuh, Paul Scholz, Maximilian Nadicksbernd
Pubblicato in: 2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS), 2020, Pagina/e 1-10, ISBN 978-1-7281-9105-8
Editore: IEEE
DOI: 10.1109/itms51158.2020.9259318

Technology Audit: Procedure for the Assessment of the Technological Maturity of Applied R&D Organizations

Autori: Hecklau, Fabian; Kidschun, Florian; Kohl, Holger
Pubblicato in: 2022, ISBN 978-1-914587-36-8
Editore: ACI

Impact assessment of fillers on the machinability of carbon fibre reinforced polymer composites

Autori: Gergely Magyar, Dániel István Poór, Tamás Lukács, Péter Tamás-Bényei, Norbert Geier
Pubblicato in: Procedia CIRP, 2023
Editore: Elsevier
DOI: 10.1016/j.procir.2023.06.143

Upskilling SME Workforce by Learning Factories

Autori: Gyulai, Tamás; Viharos, Zsolt János; Kása, Ferenc ; Wolf, Peter
Pubblicato in: 13th Conference on Learning Factories (CLF 2023), 2023
Editore: SSRN
DOI: 10.2139/ssrn.4469802

Impact of Customer Order Change Dimensions on Order Management

Autori: Christian Fries, Ádám Szaller, Thomas Bauernhansl, Günther Schuh
Pubblicato in: EEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2022
Editore: IEEE
DOI: 10.1109/ieem55944.2022.9989974

Intelligent production of the future – first results of a survey

Autori: Nick, G.; Szaller, Á.; Viharos, Zs. J.; Várgedő, T.; Bányai, D.; Fries, C.; Fechter, M
Pubblicato in: 2020, ISBN 978-92-990084-6-1
Editore: IMEKO

Influence of fixturing setup on quality of edge trimmed UD-CFRP

Autori: Pereszlai, Cs.; Geier, N.; Poór, D
Pubblicato in: Proceedings of International Conference on Innovative Technologies, 2019, Pagina/e 106-109, ISSN 0184-9069
Editore: Faculty of Engineering, University of Rijeka

Operational Structure for an Industry 4.0 oriented Learning Factory

Autori: Tamás Gyulai, Péter Wolf, Ferenc Kása, Zsolt János Viharos
Pubblicato in: "18th IMEKO TC10 Conference ""Measurement for Diagnostics, Optimisation and Control to Support Sustainability and Resilience""", 2022
Editore: IMEKO
DOI: 10.21014/tc10-2022.016

Enabling distance learning and remote collaboration in layout and process planning

Autori: Zsolt Kemény, Richárd Beregi, Mátyás Hajós, János Csempesz, János Nacsa
Pubblicato in: 2021
Editore: Elsevier
DOI: 10.2139/ssrn.3858609

A multi-criteria approach for assessing resilience, sustainability and efficiency measures in manufacturing companies

Autori: Luisa Reichsthaler, Daniel Toth, Ádám Szaller, Wilfried Sihn
Pubblicato in: 56th CIRP Conference on Manufacturing Systems., 2023
Editore: Elsevier
DOI: 10.1016/j.procir.2023.09.035

Harmonization of Heterogeneous Asset Administration Shells

Autori: Nikolaos-Stefanos Koutrakis, Varun Gowtham, Wenzel Baron Pilar von Pilchau, Thomas Josef Jung, Julian Polte, Jörg Hähner, Marius-Iulian Corici, Thomas Magedanz, Eckart Uhlmann
Pubblicato in: 2022
Editore: Elsevier
DOI: 10.1016/j.procir.2022.04.016

Concept of a modular hardware platform for automation extension experiments

Autori: Zsolt Kemény, Richárd Beregi, Kristóf Abai
Pubblicato in: 13th Conference on Learning Factories, CLF2023, 2023
Editore: Elsevier
DOI: 10.2139/ssrn.4469200

A hybrid simulation tool to improve the energy efficiency in production environment *

Autori: B. Zhou, M. Frye, C. Sander, R. H. Schmitt
Pubblicato in: 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), Numero Bari, 2019, Pagina/e 2103-2108, ISBN 978-1-7281-4569-3
Editore: IEEE
DOI: 10.1109/smc.2019.8914514

Derivation of Constituent Problem Characteristics for the Application of Machine Learning Systems

Autori: Günther Schuh, Paul Scholz, Timon Burger
Pubblicato in: 2021
Editore: IEEE
DOI: 10.1109/icict52872.2021.00014

Work in Progress Level Prediction with Ling Short-Term Memory Recurrent Neural Network

Autori: Gallina, V., Lingitz, L. Breitschopf, J., Zudor, E., Sihn, W
Pubblicato in: 2021
Editore: Elsevier
DOI: 10.1016/j.promfg.2021.07.047

Prediction of Quality in Thermographic Spray Spot Applications with Machine Learning Algorithms

Autori: Eckart Uhlmann, Julian Polte, Nikolaos-Stefanos Koutrakis, Lasse Pyka, Müslüm Ider, Georg Thomas, Christian Rupprecht
Pubblicato in: 56th CIRP International Conference on Manufacturing Systems, 2023
Editore: Elsevier
DOI: 10.1016/j.procir.2023.09.151

Investigation of ductile/brittle chip formation zone in the context ofmanufactured geometry with different CAM paths strategies

Autori: László Móricz, Zsolt Viharos János
Pubblicato in: 10th IFAC Conference on Manufacturing Modelling, Management and Control, 2022, ISBN 9781713865124
Editore: IFAC
DOI: 10.1016/j.ifacol.2022.10.051

Vibration Based Cutting Tool Path Differentiation by Feature Selection

Autori: Móricz, L ; Viharos, Zs J
Pubblicato in: "18th IMEKO TC10 Conference ""Measurement for Diagnostics, Optimisation and Control to Support Sustainability and Resilience""", 2022
Editore: IMEKO
DOI: 10.21014/tc10-2022.025

Simulation Framework for Evaluating Production Networks. Middle-European Conference on Applied Theoretical Computer Science

Autori: Egri, P.; Váncza, J.; Szaller, Á.; Monostori, J
Pubblicato in: Middle-European Conference on Applied Theoretical Computer Science, 2019, Pagina/e 22-25, ISSN 2630-371X
Editore: Information Society

Drilling-induced delamination measurement using a novel digital image processing algorithm.

Autori: Tamás Lukács, Csongor Pereszlai, Gergely Magyar, Norbert Geier
Pubblicato in: Procedia CIRP, 2023
Editore: Elsevier
DOI: 10.1016/j.procir.2023.06.142

Case study on technological applications for production planning and control in the context of Industry 4.0

Autori: Schuh, G.; Patrick, S
Pubblicato in: . 1st Conference on Produc, Numero 1, 2020
Editore: Institutionelles Repositorium der Leibniz Universität Hannover
DOI: 10.15488/9683

Tool failure recognition using inconsistent data

Autori: Júlia Bergmann, Klaudia Éva Zeleny, József Váncza, Andrea Kő
Pubblicato in: Procedia CIRP, 2022, ISSN 2212-8271
Editore: Elsevier
DOI: 10.1016/j.procir.2022.05.132

Experimental analysis of machining-induced burrs in micro-drilled CFRP composite

Autori: SEPRŐS Szilárd, GEIER Norbert
Pubblicato in: 32nd International Conference on Mechanical Engineering, 2024
Editore: EMT Hungarian Technical Scientific Society of Transylvania

CCMS Model – a Novel Approach to Digitalization Level Assessment for Manufacturing Companies

Autori: Nick, G.; Szaller, À.; Várgedő, T
Pubblicato in: European conference on management, leadership and governance, 2020, ISSN 2048-9021
Editore: Academic Conferences International Limited

Learning Factories towards Industry 5.0: Evolutionary or Revolutionary?

Autori: Gyulai, T ; Wolf, P ; Kása, F ; Viharos, Zs J
Pubblicato in: 19th IMEKO TC10 Conference “MACRO meets NANO in Measurement for Diagnostics, Optimization and Control”, 2023
Editore: IMEKO
DOI: 10.21014/tc10-2023.017

Pilot factories in the frame of centre of excellence in production informatics and control.

Autori: Czampa, M.; Szalay, T.; Nacsa J.; Nausch, M
Pubblicato in: Proceedings of International Conference on Innovative Technologies, 2019, Pagina/e 88-91, ISSN 0184-9069
Editore: Faculty of Engineering, University of Rijeka

Distributed real-time production control for resilient manufacturing systems

Autori: Eckart Uhlmann, Julian Polte, Christopher Mühlich
Pubblicato in: Procedia CIRP, 2023
Editore: Elsevier
DOI: 10.1016/j.procir.2023.09.162

With synthetic data towards part recognition generalized beyond the training instances

Autori: Paul Koch; Marian Schlüter; Jörg Krüger
Pubblicato in: Modern Materials and Manufacturing, 2023
Editore: AIP Publishing
DOI: 10.1063/5.0189847

Univerzális mechanikus megfogó vizsgálata optikai elven működő erőmérő használatával

Autori: Nagy, A. T.; Paniti, I
Pubblicato in: XXVIII. Nemzetközi Gépészeti Konferencia – OGÉT 2020, 2020, Pagina/e 333-337, ISSN 2668-9685
Editore: Erdélyi Magyar Műszaki Tudományos Társaság (EMT)

Resource Sharing Manufacturing Network under Turbulences

Autori: Ádám Szaller, Christian Fries, Gábor Nick, Botond Kádár
Pubblicato in: Proceedings of the 18th European Conference on Management Leadership and Governance, 2022
Editore: Academic Conferences International Limited, Reading
DOI: 10.34190/ecmlg.18.1.885

Comparison of Artificial Neural Network Technique-Based Failure Predictions of Mechanical Components

Autori: Basheer Shaheen, István Németh and Ádám Kocsis
Pubblicato in: 2022 6th International Conference on System Reliability and Safety (ICSRS), 2022, ISBN 978-1-6654-7092-6
Editore: IEEE
DOI: 10.1109/icsrs56243.2022.10067554

A pilot experimental research on drilling of cfrp under tensile stress

Autori: Poór, D.; Geier, N.; Pereszlai, Cs.; Forintos, N
Pubblicato in: Proceedings of International Conference on Innovative Technologies, 2019, Pagina/e 126-129
Editore: Faculty of Engineering, University of Rijeka

Machinability analysis of thermosetting epoxy resin through turning experiments

Autori: GEIER Norbert, SEPRŐS Szilárd, POÓR Dániel István
Pubblicato in: 32nd International Conference on Mechanical Engineering, 2024
Editore: EMT Hungarian Technical Scientific Society of Transylvania

Reinforcement Learning for Statistical Process Control in Manufacturing

Autori: Viharos, Zs. J.; Jakab, R. B.
Pubblicato in: 17th IMEKO TC 10 and EUROLAB Virtual Conference: “Global Trends in Testing, Diagnostics & Inspection for 2030”, 2020, Pagina/e 225-234, ISBN 978-92-990084-6-1
Editore: IMEKO

Drilling of carbon fibre reinforced polymer (CFRP) composites: Difficulties, challenges and expectations

Autori: Norbert Geier, Jinyang Xu, Csongor Pereszlai, Dániel István Poór, J. Paulo Davim
Pubblicato in: 2021
Editore: Elsevier
DOI: 10.1016/j.promfg.2021.07.045

Transforming Experimental Cobot Cell to Industrial Realization – an Ethical AI Approach

Autori: Mezgár I., Váncza J, Paniti I, Tóth J
Pubblicato in: IFAC WC 2023, 2023
Editore: IFAC
DOI: 10.1016/j.ifacol.2023.10.347

Robotos pakolási feladat megoldása környezetérzékelés segítségével

Autori: Hajós, M.; Horváth, D.
Pubblicato in: XXVIII. Nemzetközi Gépészeti Konferencia – OGÉT 2020, 2020, Pagina/e 305-308, ISSN 2668-9685
Editore: Erdélyi Magyar Műszaki Tudományos Társaság (EMT)

A cost-based model for integrating maintenance strategies in autonomous production control

Autori: Glawar, R.; Ansari, F.; Viharos, Zs. J.; Matyas, K.; Sihn, W
Pubblicato in: 17th IMEKO TC 10 and EUROLAB Virtual Conference: “Global Trends in Testing, Diagnostics & Inspection for 2030”, 2020, Pagina/e 258-264, ISBN 978-92-990084-6-1
Editore: IMEKO

Quantitative benefits of the digital product passport and data sharing in remanufacturing.

Autori: A. Szaller, V. Gallina, B. Gal, A. Gaal, C. Fries
Pubblicato in: 56th CIRP Conference on Manufacturing Systems, 2023
Editore: Elsevier
DOI: 10.1016/j.procir.2023.09.102

Investigation on stereo-ToF data fusion for the inspection of used industrial parts

Autori: Oliver Krumpek; Marian Schlüter; Johannes Hügle
Pubblicato in: Modern Materials and Manufacturing 2023, AIP Conf. Proc, 2023
Editore: AIP Publishing
DOI: 10.1063/5.0189300

Autonomous Vehicle Drift With a Soft Actor-criticReinforcement Learning Agent

Autori: Tóth, Sz. H.; Bárdos, Á.; Viharos Zs. J.
Pubblicato in: 2022
Editore: IEEE
DOI: 10.1109/sami54271.2022.9780803

Anticipating VUCA by Utilizing the Potential of Technological and Logistical Degreesof Freedom. Advances in Production Management Systems.

Autori: Julian Maier, Hans-Hermann Wiendahl
Pubblicato in: Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments, 2024
Editore: Springer
DOI: 10.1007/978-3-031-71645-4_9

Guideline for Deployment of Machine Learning Models for Predictive Quality in Production

Autori: Henrik Heymann, Maik Frye, Alexander D. Kies, Robert H. Schmitt, Andrés Boza
Pubblicato in: 2022
Editore: Elsevier
DOI: 10.1016/j.procir.2022.05.068

Böngésző alapú felhasználói felület Panda robothoz

Autori: Bocsi, K.; Nacsa, J
Pubblicato in: XXVIII. Nemzetközi Gépészeti Konferencia – OGÉT 2020, 2020, Pagina/e 289-292, ISSN 2668-9685
Editore: Erdélyi Magyar Műszaki Tudományos Társaság (EMT)

Lead time prediction in a flow-shop environment with analytical and machine learning approaches

Autori: Gyulai, D., Pfeiffer, A., Nick, G., Gallina, V., Sihn, W., Monostori, L.
Pubblicato in: 16th IFAC Symposium on Information Control Problems in Manufacturing, 2018
Editore: IFAC

Human Resources Management: Meta-Study - Analysis of Future Competences in Industry 4.0

Autori: Hecklau, F.; Orth, R.; Kidschun, F.; Kohl, H
Pubblicato in: 13th European Conference on Management Leadership and Governance, 2017, ISBN 978-1-911218-63-0
Editore: nn

Improving the Accuracy of Cycle Time Estimation for Simulation in Volatile Manufacturing Execution Environments

Autori: Pfeiffer A., Gyulai D., Monostori L.
Pubblicato in: ASIM 2017 Conference, 2017, ISBN 978-3-7376-0192-4
Editore: kassel university press
DOI: 10.19211/KUP9783737601931

How to Achieve Physical Internet through Lean Principles and Industry 4.0

Autori: Gizem Erboz, Dr. Gábor Bohács, Dr. Zoltán Szegedi
Pubblicato in: 4. Wissenschaftliche Industrielogistik-Dialog 2017 (WiLD 2017), 2017
Editore: nn

Digital Twin in manufacturing: A categorical literature review

Autori: Werner Kritzinger, Matthias Karner, Georg Traar, Jan Henjes, Wilfried Sihn
Pubblicato in: 16th IFAC Symposium on Information Control Problems in Manufacturin, 2018
Editore: IFAC

Integrating machine tool condition monitoring and production scheduling in metal forming

Autori: Matthias Karner, Robert Glawar, Wilfried Sihn, Kurt Matyas
Pubblicato in: International Conference Management of Technology – Step to Sustainable Production (MOTSP 2018), 2018
Editore: nn

Investigation of Micro Milled Surface Characteristics

Autori: B.-Z. Balázs, T Szalay, M. Takács
Pubblicato in: International Conference on Innovative Technologies: IN-TECH 2017, 2017, ISSN 0184-9069
Editore: nn

Dynamical Aspects of Micro Milling Process

Autori: M. Takács, B.-Z. Balázs, J.-C. Jáuregui
Pubblicato in: International Conference on Innovative Technologies, 2017, ISSN 0184-9069
Editore: nn

Simulation and scheduling of AGV based robotic assembly systems

Autori: Andor Viharos, István Németh
Pubblicato in: IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2018),, 2018
Editore: IFAC

Analysing and Optimizing 2.5D Circular Pocket Machining Strategies

Autori: Adam Jacso, Tibor Szalay
Pubblicato in: 2017, Pagina/e 355-364
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-68619-6_34

PRODUCTION LOG DATA ANALYSIS FOR REJECT RATE PREDICTION AND WORKLOAD ESTIMATION

Autori: Andras Pfeiffer, David Gyulai, Adam Szaller, Laszlo Monostori
Pubblicato in: 2018 Winter Simulation Conference (WSC), 2018, Pagina/e 3364-3374, ISBN 978-1-5386-6572-5
Editore: IEEE
DOI: 10.1109/wsc.2018.8632482

A Novel Big-data-based Estimation Method of Side-slip Angles for Autonomous Road Vehicles

Autori: Dániel Fényes, Balázs Németh, Péter Gáspár
Pubblicato in: Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics, 2018, Pagina/e 420-426, ISBN 978-989-758-321-6
Editore: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0006849504200426

Anti-Lock Braking Control Design for Electric Vehicles Using LPV Methods

Autori: Balazs Nemeth, Mate Fazekas, Peter Gaspar
Pubblicato in: 2018 26th Mediterranean Conference on Control and Automation (MED), 2018, Pagina/e 1-6, ISBN 978-1-5386-7890-9
Editore: IEEE
DOI: 10.1109/med.2018.8442426

Reconfiguration control of in-wheel electric vehicle based on battery state of charge

Autori: Andras Mihaly, Pater Gaspar
Pubblicato in: 2018 European Control Conference (ECC), 2018, Pagina/e 1-6, ISBN 978-3-9524-2698-2
Editore: IEEE
DOI: 10.23919/ecc.2018.8550283

Side-slip Angle Estimation of Autonomous Road Vehicles Based on Big Data Analysis

Autori: Daniel Fenyes, Balazs Nemeth, Mate Asszonyi, Peter Gaspar
Pubblicato in: 2018 26th Mediterranean Conference on Control and Automation (MED), 2018, Pagina/e 849-854, ISBN 978-1-5386-7890-9
Editore: IEEE
DOI: 10.1109/med.2018.8443010

The four-step approach for the creation of the HR Concept for the EPIC Centre of Excellence in Production Informatics and Control (EPIC CoE)

Autori: Hecklau, Fabian; Orth, Ronald; Kidschun, Florian; Nick, Gabor
Pubblicato in: European Conference on Management, Leadership and Governance, 2018, ISBN 978-1-912764-01-3
Editore: """Dr. Ing. Benny M.E. de Waal Prof. dr. Pascal Ravesteijn"""

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)

Autori: Monostori, László and Kádár, Botond and Nick, Gábor András and Pfeiffer, András and Várgedő, T.
Pubblicato in: Proceedings of the 14th European Conference on Management, Leadership and Governance, 2018, Pagina/e 161-170, ISBN 9781-912764020
Editore: """Dr. Ing. Benny M.E. de Waal Prof. dr. Pascal Ravesteijn"""

Quality Improvement of Milling Processes Using Machine Learning-Algorithms

Autori: Maik Frye, Robert H. Schmitt
Pubblicato in: 16th IMEKO TC10 Conference“Testing, Diagnostics & Inspection as a comprehensive value chain for Quality & Safety, 2019, Pagina/e 142-147, ISBN 978-92-990084-1-6
Editore: IMEKO

Generating human work instructions from assembly plans

Autori: Kardos, Cs.; Kovács, A.; Pataki, B.E.; Váncza, J.
Pubblicato in: 28th International Conference on Automated Planning and Scheduling, Numero 1, 2018, Pagina/e 31-39
Editore: Delft University

Product quality and cutting tool analysis for micro-milling of ceramics

Autori: L Móricz, Zs. J. Viharos, A. Németh, A. Szépligeti
Pubblicato in: 16th IMEKO TC10 Conference, 2019, ISBN 978-92-990084-1-6
Editore: IMEKO

Issues in Manufacturing Automation & Robotics within the Past 4 Decades and Vision for the Next

Autori: Haidegger, G. and Paniti, I.
Pubblicato in: IEEE 23nd International Conference on Intelligent Engineering Systems, 2019, ISBN 9781-728112138
Editore: IEEE

Magnetic Assisted Ball Burnishing of Magnetizable and Non-Magnetizable Materials

Autori: Zsolt Ferenc Kovács, Zsolt János Viharos, János Kodácsy, Roland Sándor
Pubblicato in: 16th IMEKO TC10 Conference, 2019, Pagina/e 32-38, ISBN 978-92-990084-1-6
Editore: IMEKO

Unified edge control for mobile robots based on VDA5050 and basys 4.0 - Architecture and interfaces

Autori: Axel Vick; Sebastian Behling; Phillip Gesien; Eugen Funk
Pubblicato in: Modern Materials and Manufacturing, 2023
Editore: AIP Publishing
DOI: 10.1063/5.0189349

Preserving hands-on learning experience with physical equipment in distance learning—findings of a course pilot

Autori: Zsolt Kemény,Titanilla Komenda, Mátyás Hajós, Richárd Beregi, János Nacsa
Pubblicato in: 2021
Editore: Elsevier
DOI: 10.2139/ssrn.4073821

Energy efficiency measures for metal forming using hydraulic and mechanical presses

Autori: Mandy Preuß; Gregor Thiele; Jörg Krüger
Pubblicato in: Modern Materials and Manufacturing 2023, AIP Conf. Proc, 2023
Editore: AIP Publishing
DOI: 10.1063/5.0190607

Structured Data Preparation Pipeline for Machine Learning-Applications in Production

Autori: Frye, M.; Schmitt, R. H
Pubblicato in: 17th IMEKO TC 10 and EUROLAB Virtual Conference: “Global Trends in Testing, Diagnostics & Inspection for 2030”, 2020, Pagina/e 241-246, ISBN 978-92-990084-6-1
Editore: IMEKO

Lubricants and Affecting Parameters on Hardness in SPIF of AA1100 Aluminum

Autori: Paniti, I.; Najm, S. M.; Viharos, Zs. J
Pubblicato in: . 17th IMEKO TC 10 and EUROLAB Virtual Conference: “Global Trends in Testing, Diagnostics & Inspection for 2030”, 2020, Pagina/e 387-392, ISBN 978-92-990084-6-1
Editore: IMEKO

Simulation-based Learning of the Peg-in-Hole Process using Robot-Skills

Autori: Arik Lämmle; Philipp Tenbrock; Balázs Bálint; Frank Nägele; Werner Kraus; József Váncza; Marco F. Huber
Pubblicato in: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
Editore: IEEE
DOI: 10.1109/iros47612.2022.9982212

Technological Trends in Context of Industry 4.0 and Their Industrial Applications

Autori: Ing. Gunther Schuh, Patrick Scholz, Marc Patzwald
Pubblicato in: 2019 60th International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS), 2019, Pagina/e 1-6, ISBN 978-1-7281-5709-2
Editore: IEEE
DOI: 10.1109/itms47855.2019.8940720

Comprehensive Comparison of MTM and BasicMOST, as the Most Widely Applied PMTS Analysis Methods

Autori: Viharos, Zs. J.; Bán, B
Pubblicato in: 17th IMEKO TC 10 and EUROLAB Virtual Conference: “Global Trends in Testing, Diagnostics & Inspection for 2030”, 2020, Pagina/e 393-401, ISBN 978-92-990084-6-1
Editore: IMEKO

Expert System for the Machine Learning Pipeline in Manufacturing

Autori: Maik Frye, Jonathan Krauß, Robert H. Schmitt
Pubblicato in: 2021
Editore: IFAC INCOM
DOI: 10.1016/j.ifacol.2021.08.014

Holistic Concept Towards a Reference Architecture Model for Predictive Maintenance

Autori: Eckart Uhlmann, Julian Polte, Nikolaos-Stefanos Koutrakis
Pubblicato in: 2021
Editore: Elsevier
DOI: 10.1016/j.procir.2021.11.241

Veränderte Kompetenzanforderungen im Rahmen von Digitalisierung und Industrie 4.0

Autori: Hecklau, F.; Orth, R.; Kidschun, F.; Tominaj, S.: Veränderte
Pubblicato in: State-of-the-Art and Outlook Proceedings of the 10th Knowledge Management in Digital Work Environments, 2020
Editore: Fachhochschule Potsdam
DOI: 10.34678/opus4-2412

Effect of CAM Path Strategies on Tool Life in Ceramics Micro-Cutting

Autori: Móricz, L.; Viharos, Zs. J.; Büki, M
Pubblicato in: 17th IMEKO TC 10 and EUROLAB Virtual Conference: “Global Trends in Testing, Diagnostics & Inspection for 2030”, 2020, Pagina/e 92-98, ISBN 978-92-990084-6-1
Editore: IMEKO

AI-based welding process monitoring for quality control in large-diameter pipe manufacturing

Autori: Sergej Gook, Bassel El-Sari, Max Biegler, Michael Rethmeier
Pubblicato in: 19th Pipeline Technology Conference, 2024
Editore: EITEP - Euro Institute for Information and Technology Transfer in Environmental Protection GmbH

Analyzing the Role of Research and Technology Organizations (RTOs) in National Innovation Systems (NIS)

Autori: Hecklau, F.; Kidschun, F.; Kohl, H.; Tominaj, S
Pubblicato in: ECMLG 2020 - 16th European Conference on Management Leadership and Governance, 2020, ISBN 1912764776
Editore: ECMLG

Procedure for the Assessment of the Technological Maturity of Applied R&D Organizations

Autori: Hecklau, Fabian; Kidschun, Florian; Kohl, Holger
Pubblicato in: 21stEuropean Conference on Research Methodology for Business and Management Studies, 2022
Editore: ACI

Drilling of curved carbon fibre reinforced polymer (CFRP) composite plates

Autori: N Geier, Cs Pereszlai, DI Poór, BZ Balázs
Pubblicato in: 2021
Editore: Elsevier
DOI: 10.1016/j.procir.2021.03.057

Co-Creation of Production Resources and Processes in Pilot and Learning Factories—a Case Study.

Autori: Kemény, Zs.; Beregi, R.; Erdős, G.; Nacsa, J
Pubblicato in: IFAC World Congress 2023, 2023
Editore: IFAC
DOI: 10.1016/j.ifacol.2023.10.1148

Digital Twin training concept based on miniature demonstration factories

Autori: Nikolaus Kremslehner, Thomas Sobottka, János Nacsa, Richárd Beregi, Sebastian Schlund
Pubblicato in: Proceedings of the 13th Conference on Learning Factories (CLF 2023), 2023
Editore: SSRN
DOI: 10.2139/ssrn.4458212

Flexible Manufacturing Concept at Bosch: A low-cost implementation of an Industry 4.0 concept

Autori: László Fükő, Ádám Szaller, Eduardo Colangelo, Gábor Nick, Botond Kádár
Pubblicato in: 19th IMEKO TC10 Conference, 2023
Editore: IMEKO
DOI: 10.21014/tc10-2023.016

A two-step digitalization level assessment approach for manufacturing companies

Autori: Nick Gábor, Szaller Ádám, Thomas Scheuer
Pubblicato in: 2021
Editore: Elsevier
DOI: 10.1016/j.promfg.2021.07.005

Maturity Model for AI in Smart Production Planning and Control System

Autori: Eduardo Colangelo; Christian Fries; Theresa-Franziska Hinrichsen; Ádám Szaller; Gábor Nick
Pubblicato in: 2022
Editore: Elsevier
DOI: 10.1016/j.procir.2022.05.014

Programming and control challenges of the portrait drawing Piktor-o-bot

Autori: János Csempesz, Tamás Cserteg, Kristóf Abai, János Nacsa
Pubblicato in: IMEKO (World Congress 2024), 2024
Editore: IMEKO (World Congress 2024)

Automated vehicle fleet management in relentless production – a case study in semi-conductor manufacturing

Autori: Bergmann, J.; Váncza, J,; Kovács, A
Pubblicato in: 32nd EURO Conference, Association of European Operational Research Societies, Finnish Operations Research Society, 2022
Editore: Aalto University

Development of the Supply Chain Management 2040 – Opportunities and challenges

Autori: Schiffer, M.; Dörr, D. M.
Pubblicato in: 1st Conference on Production Systems and Logistics, Numero 1, 2020, Pagina/e 29-37
Editore: publish‐Ing.
DOI: 10.15488/9644

Moduláris szerelési paletta oktatási célú kollaboratív robotosmunkaállomáshoz

Autori: Szűr, D.; Nacsa, J.; Beregi, R.; Kemény, Z
Pubblicato in: XXVIII. Nemzetközi Gépészeti Konferencia – OGÉT 2020, 2020, Pagina/e 351-354, ISSN 2668-9685
Editore: Erdélyi Magyar Műszaki Tudományos Társaság (EMT)

Condition Monitoring Concept for Industrial Robots

Autori: Uhlmann, E.; Polte, J.; Geisert, C.
Pubblicato in: 17th IMEKO TC 10 and EUROLAB Virtual Conference: “Global Trends in Testing, Diagnostics & Inspection for 2030”, 2020, Pagina/e 253-257, ISBN 978-92-990084-6-1
Editore: IMEKO

Passivity analysis of rational LPV systems using Finsler’s lemma

Autori: Peter Polcz, Balazs Kulcsar, Tamas Peni, Gabor Szederkenyi
Pubblicato in: 2019 IEEE 58th Conference on Decision and Control (CDC), 2019, Pagina/e 3793-3798, ISBN 978-1-7281-1398-2
Editore: IEEE
DOI: 10.1109/cdc40024.2019.9029877

Customer-Induced Planning Deviations within Order Management

Autori: Christian Fries; Thomas Bauernhansl
Pubblicato in: 2022
Editore: Elsevier
DOI: 10.1016/j.procs.2022.01.206

Developing Digital Twins for energy efficiency in the production phase of products

Autori: Sebastian Wehking, Theresa Riedelsheimer, Cansu Tanrikulu, Kai Lindow
Pubblicato in: 31st CIRP Conference on Life Cycle Engineering, 2024
Editore: Elsevier
DOI: 10.1016/j.procir.2024.01.126

Experimental investigation of machining-induced interlayer burr in Al/CFRP sandwich structures

Autori: MARKÓ Balázs, GEIER Norbert
Pubblicato in: 32nd International Conference on Mechanical Engineering, 2024
Editore: EMT Hungarian Technical Scientific Society of Transylvania

Usability investigation of portable coordinate measuring equipment.

Autori: Gábriel, M.; Czampa, M.; Szalay, T
Pubblicato in: Proceedings of International Conference on Innovative Technologies, 2019, Pagina/e 102-105, ISSN 0184-9069
Editore: Faculty of Engineering, University of Rijeka

Dynamic Production Line Re-balancing by Alternative Plans for Compensating Equipment Failures.

Autori: Tsutsumi, D.; Bergmann, J.; Dobrovoczki, P.; Hayashi, N,; Kovács, A.; Szádoczki, Zs.; Szaller, Á.; Umeda, S.
Pubblicato in: Procedia CIRP, 2023
Editore: Elsevier
DOI: 10.1016/j.procir.2023.09.080

Adaptive scheduling through machine learning-based process parameter prediction

Autori: Frye, M.; Gyulai, D.; Bergmann, J.; H. Schmitt, R
Pubblicato in: Conference on High Speed Machining, 2019, ISSN 1805-0476
Editore: MM Science Journal

Analysis of the relationship between fibre cutting angle and machining-induced burr in carbon fibre-reinforced polymer composites

Autori: MAGYAR Gergely, GEIER Norbert
Pubblicato in: 32nd International Conference on Mechanical Engineering, 2024
Editore: EMT Hungarian Technical Scientific Society of Transylvania

Concept for the Evaluation and Prioritization of Machine Learning Use Cases in Industrial Production

Autori: G. Schuh; L. Cassel; Marc Uedelhoven
Pubblicato in: IEEE International Conference on Industrial Engineering and Engineering Management, 2023, ISSN 2157-3611
Editore: IEEM
DOI: 10.1109/ieem58616.2023.10406937

Financial aspects of a trust-based resource sharing platform

Autori: Ádám Szaller, Christian Fries, Botond Kádár
Pubblicato in: CIRP Journal of Manufacturing Science and Technology, 2023, ISSN 1878-0016
Editore: Elsevier
DOI: 10.1016/j.cirpj.2023.03.004

Towards a connected factory: Shop-floor data analytics in cyber-physical environments

Autori: Dávid Gyulai, Júlia Bergmann, Viola Gallina, Alexander Gaal
Pubblicato in: Procedia CIRP, Numero 86, 2019, Pagina/e 37-42, ISSN 2212-8271
Editore: Elsevier
DOI: 10.1016/j.procir.2020.01.016

Optimizing the numerical algorithm in Fast Constant Engagement Offsetting Method for generating 2.5D milling tool paths

Autori: Adam Jacso, Tibor Szalay
Pubblicato in: The International Journal of Advanced Manufacturing Technology, Numero 108/7-8, 2020, Pagina/e 2285-2300, ISSN 0268-3768
Editore: Springer Verlag
DOI: 10.1007/s00170-020-05452-1

Human-robot collision predictor for flexible assembly

Autori: Imre Paniti, János Nacsa, Péter Kovács, Dávid Szur
Pubblicato in: ACTA IMEKO, 2021, ISSN 2221-870X
Editore: IMEKO
DOI: 10.21014/acta_imeko.v10i3.1072

Defining the Intelligent Manufacturing Enterprise

Autori: Günther Schuh, Thomas Scheuer, Riley Colleen Padovano
Pubblicato in: Journal of Production Systems and Logistics, 2022, ISSN 2702-2587
Editore: Hannover : publish-Ing.
DOI: 10.15488/11731

ProSeqqo: A generic solver for process planning and sequencing in industrial robotics

Autori: Zahorán, L.; Kovács, A.
Pubblicato in: Robotics and Computer-Integrated Manufacturing, 2022, ISSN 0736-5845
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.rcim.2022.102387

Surface flatness and roughness evolution after magnetic assisted ball burnishing of magnetizable and non-magnetizable materials

Autori: Zsolt F. Kovács, Zsolt J. Viharos, János Kodácsy
Pubblicato in: Measurement, Numero 158, 2020, Pagina/e 107750, ISSN 0263-2241
Editore: Elsevier BV
DOI: 10.1016/j.measurement.2020.107750

Recent Developments and Future Challenges in Incremental Sheet Forming of Aluminium and Aluminium Alloy Sheets

Autori: Trzepieciński, T; Najm, S M ; Oleksik, V ; Vasilca, D ; Paniti, I ; Szpunar, M
Pubblicato in: Metals, 2022, ISSN 2075-4701
Editore: MPDI
DOI: 10.3390/met12010124

Complementary Manipulator Tool Development for Safe Cobot-Assisted Hydroponics

Autori: Imre Paniti, János Nacsa, Dávid Szűr, Sándor Rácz, József Tóth
Pubblicato in: Hungarian Journal of Industry and Chemistry, 2021, ISSN 2450-5102
Editore: University of Pannonia
DOI: 10.33927/hjic-2021-27

Off-line geometrical and microscopic & on-line vibration based cutting tool wear analysis for micro-milling of ceramics

Autori: László Móricz, Zsolt J. Viharos, András Németh, András Szépligeti, Máté Büki
Pubblicato in: Measurement, Numero 163, 2020, Pagina/e 108025, ISSN 0263-2241
Editore: Elsevier BV
DOI: 10.1016/j.measurement.2020.108025

A critical review of the drilling of CFRP composites: Burr formation, characterisation and challenges

Autori: Dániel István Poór, Norbert Geier, Csongor Pereszlai, Jinyang Xu
Pubblicato in: Composites Part B: Engineering, 2022, ISSN 1359-8368
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.compositesb.2021.109155

Parametric Effects of Single Point Incremental Forming on Hardness of AA1100 Aluminium Alloy Sheets

Autori: Najm, S.M.; Paniti, I.; Trzepieciński, T.; Nama, S.A.; Viharos, Z.J.; Jacso, A
Pubblicato in: Materials, 2021, ISSN 1996-1944
Editore: MDPI Open Access Publishing
DOI: 10.3390/ma14237263

Adaptive network analytics for managing complex shop-floor logistics systems

Autori: Dávid Gyulai, Júlia Bergmann, József Váncza
Pubblicato in: CIRP Annals, Numero 69/1, 2020, Pagina/e 393-396, ISSN 0007-8506
Editore: Hallwag AG
DOI: 10.1016/j.cirp.2020.04.002

The examination of the effect of variable cutting speeds on the surface and edge qualities of milled granite materials

Autori: István Gábor Gyurika, Tibor Szalay
Pubblicato in: Advances in Mechanical Engineering, Numero 11/7, 2019, Pagina/e 168781401983631, ISSN 1687-8140
Editore: Sage Journals
DOI: 10.1177/1687814019836319

Artificial neural network for modeling and investigating the effects of forming tool characteristics on the accuracy and formability of thin aluminum alloy blanks when using SPIF

Autori: Sherwan Mohammed Najm, Imre Paniti
Pubblicato in: The International Journal of Advanced Manufacturing Technology, 2021, ISSN 0268-3768
Editore: Springer Verlag
DOI: 10.1007/s00170-021-06712-4

Comparative analysis of wobble milling, helical milling and conventional drilling of CFRPs

Autori: Csongor Pereszlai, Norbert Geier
Pubblicato in: The International Journal of Advanced Manufacturing Technology, Numero 106/9-10, 2020, Pagina/e 3913-3930, ISSN 0268-3768
Editore: Springer Verlag
DOI: 10.1007/s00170-019-04842-4

Adaptive, Hybrid Feature Selection (AHFS)

Autori: Viharos
Pubblicato in: Pattern Recognition, 2021, ISSN 0031-3203
Editore: Pergamon Press
DOI: 10.1016/j.patcog.2021.107932

Integration of Maintenance Management System Functions with Industry 4.0 Technologies and Features—A Review

Autori: Basheer Shaheen, István Németh
Pubblicato in: Manufacturing Industry 4.0: Trends and Perspectives, 2022, ISSN 2078-2489
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/pr10112173

Evaluationof Economic Plausibility of Integrating Maintenance Strategies in Autonomous ProductionControl: A Case Study in Automotive Industry

Autori: Robert Glawar, Fazel Ansari, Zsolt János Viharos, Kurt Matyas, Wilfried Sihn
Pubblicato in: 17th IFAC Symposium on Information Control Problems in Manufacturing, 2021, ISSN 2405-8963
Editore: IFAC
DOI: 10.1016/j.ifacol.2021.08.075

Drilling of recycled carbon fibre–reinforced polymer (rCFRP) composites: analysis of burrs and microstructure

Autori: Norbert Geier, Dániel István Poór, Csongor Pereszlai, Péter Tamás-Bényei
Pubblicato in: The International Journal of Advanced Manufacturing Technology, 2022, ISSN 0268-3768
Editore: Springer Verlag
DOI: 10.1007/s00170-022-08847-4

Digital Twins within the Circular Economy: Literature Review and Concept Presentation. Sustainability

Autori: Janine Mügge, Anne Seegrün, Tessa-Katharina Hoyer, Theresa Riedelsheimer and Kai Lindow
Pubblicato in: MDPI, 2024, ISSN 2078-2489
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/su16072748

Joint optimization of product tolerance design, process plan, and production plan in high-precision multi-product assembly

Autori: Daisuke Tsutsumi, Dávid Gyulai, András Kovács, Bence Tipary, Yumiko Ueno, Youichi Nonaka, Kikuo Fujita
Pubblicato in: Journal of Manufacturing Systems, Numero 54, 2020, Pagina/e 336-347, ISSN 0278-6125
Editore: Elsevier BV
DOI: 10.1016/j.jmsy.2020.01.004

Vibration-based tool life monitoring for ceramics micro-cutting under various toolpath strategies

Autori: Viharos, Z. J.; Móricz, L.; Büki, M. I.
Pubblicato in: ACTA IMEKO, 2021, ISSN 2221-870X
Editore: IMEKO
DOI: 10.21014/acta_imeko.v10i3.1063

Vibration Based Characterization of Tool Wearing in Micromilling of Ceramics during Waveform Toolpath

Autori: László Móricz, Zsolt János Viharos
Pubblicato in: Gradus, 2022, ISSN 2064-8014
Editore: NJE
DOI: 10.47833/2022.1.eng.003

Predict the Effects of Forming Tool Characteristics on Surface Roughness of Aluminum Foil Components Formed by SPIF Using ANN and SVR

Autori: Sherwan Mohammed Najm, Imre Paniti
Pubblicato in: International Journal of Precision Engineering and Manufacturing, 2021, ISSN 2234-7593
Editore: Springer
DOI: 10.1007/s12541-020-00434-5

Monitoring of orbital drilling process in CFRP based on digital image processing of characteristics of uncut fibres

Autori: Norbert Geier, György Póka, Csongor Pereszlai
Pubblicato in: Procedia CIRP, Numero 85, 2019, Pagina/e 165-170, ISSN 2212-8271
Editore: Elsevier
DOI: 10.1016/j.procir.2019.09.011

Integrating maintenance strategies in autonomous production control using a cost-basedmodel

Autori: Robert Glawar, Fazel Ansari, Kurt Matyas
Pubblicato in: ACTA IMEKO, 2021, ISSN 2221-870X
Editore: IMEKO
DOI: 10.21014/acta_imeko.v10i3.1070

Emerging Trends in Single Point Incremental Sheet Forming of Lightweight Metals

Autori: Trzepieciński, T.; Oleksik, V.; Pepelnjak, T.; Najm, S.M.; Paniti, I.; Maji, K
Pubblicato in: Metals, 2021, ISSN 2075-4701
Editore: MDPI
DOI: 10.3390/met11081188

Layout configuration, maintenance planning and simulation of AGV based robotic assembly systems

Autori: István Németh, János Püspöki, Andor Bálint Viharos, Levente Zsóka, Benjámin Pirka
Pubblicato in: IFAC-PapersOnLine, Numero 52/13, 2019, Pagina/e 1626-1631, ISSN 2405-8963
Editore: IFAC
DOI: 10.1016/j.ifacol.2019.11.433

Comparative Analysis of Burrs in UD-CFRP Composites Using Advanced Hole Machining Technologies

Autori: Anna Nikoletta Helle; Csongor Pereszlai; András Gödri; Norbert Geier
Pubblicato in: Hungarian Journal of Industry and Chemistry, 2022, ISSN 2450-5102
Editore: University of Pannonia
DOI: 10.33927/hjic-2021-21

Platform and direct exchange-based mechanisms for resource sharing in distributed manufacturing: a comparison

Autori: Ádám Szaller, Botond Kádár
Pubblicato in: CIRP Annals, 2021, ISSN 2405-8963
Editore: Elsevier
DOI: 10.1016/j.cirp.2021.04.048

Investigation and machine learning-based prediction of parametric effects of single point incremental forming on pillow effect and wall profile of AlMn1Mg1 aluminum alloy sheets

Autori: Sherwan Mohammed Najm and Imre Paniti
Pubblicato in: Journal of Intelligent Manufacturing, 2022, ISSN 1572-8145
Editore: Springer
DOI: 10.1007/s10845-022-02026-8

Lessons Learned from the COVID-19 Pandemic and Their Possible Consequences on Manufacturing

Autori: László Monostori, József Váncza
Pubblicato in: Smart and Sustainable Manufacturing Systems, Numero 4/3, 2020, Pagina/e 20200063, ISSN 2520-6478
Editore: ASTM International
DOI: 10.1520/ssms20200063

Bilevel programming approach to demand response management with day-ahead tariff

Autori: András KOVÁCS
Pubblicato in: Journal of Modern Power Systems and Clean Energy, Numero 7/6, 2019, Pagina/e 1632-1643, ISSN 2196-5625
Editore: Springer
DOI: 10.1007/s40565-019-0569-7

Microsecond measurement resolution for process cycle diagnostics of micro-EDM milling

Autori: Viharos, Z. J.; Farkas, B. Zs
Pubblicato in: Measurement: Sensors, 2021, ISSN 2665-9174
Editore: Elsevier
DOI: 10.1016/j.measen.2021.100123

ADAPTIVE SCHEDULING THROUGH MACHINE LEARNING-BASED PROCESS PARAMETER PREDICTION

Autori: M. Frye, D. Gyulai, J. Bergmann, R.H. Schmitt
Pubblicato in: MM Science Journal, Numero 2019/04, 2019, Pagina/e 3060-3066, ISSN 1803-1269
Editore: MM Publishing
DOI: 10.17973/mmsj.2019_11_2019051

Bio-inspired control of automated stem cell production

Autori: Péter Egri, Balázs Cs. Csáji, Krisztián B. Kis, László Monostori, József Váncza, Jelena Ochs, Sven Jung, Niels König, Robert Schmitt, Christian Brecher, Simon Pieske, Stephan Wein
Pubblicato in: Procedia CIRP, Numero 88, 2020, Pagina/e 600-605, ISSN 2212-8271
Editore: Elsevier
DOI: 10.1016/j.procir.2020.05.105

Experimental and Numerical Investigation of Single Point Incremental Forming of Aluminium Alloy Foils

Autori: Imre Paniti, Zsolt János Viharos, Dóra Harangozó, Sherwan Mohammed Najm
Pubblicato in: ACTA IMEKO, Numero 9/1, 2020, Pagina/e 25, ISSN 2221-870X
Editore: IMEKO
DOI: 10.21014/acta_imeko.v9i1.750

A constraint model for assembly planning

Autori: Csaba Kardos, András Kovács, József Váncza
Pubblicato in: Journal of Manufacturing Systems, Numero 54, 2020, Pagina/e 196-203, ISSN 0278-6125
Editore: Elsevier BV
DOI: 10.1016/j.jmsy.2019.11.007

Analysis of Characteristics of Surface Roughness of Machined CFRP Composites

Autori: Norbert Geier, Csongor Pereszlai
Pubblicato in: Periodica Polytechnica Mechanical Engineering, 2019, ISSN 0324-6051
Editore: Budapesti Muszaki es Gazdasagtudomanyi Egyetem/Budapest University of Technology and Economics
DOI: 10.3311/ppme.14436

A robust digital image processing method for measuring the planar burr length at milling

Autori: György Póka, Barnabás Zoltán Balázs
Pubblicato in: Journal of Manufacturing Processes, 2022, ISSN 1526-6125
Editore: Elsevier BV
DOI: 10.1016/j.jmapro.2022.06.037

Reinforcement Learning for Statistical Process Control in Manufacturing

Autori: Viharos Z. J.; Jakab, R. B
Pubblicato in: Measurement, 2021, ISSN 0263-2241
Editore: Elsevier BV
DOI: 10.1016/j.measurement.2021.109616

From ethics to standards – A path via responsible AI to cyber-physical production systems

Autori: Mezgár, I., Váncza J
Pubblicato in: Annual Reviews in Control, 2022, ISSN 1367-5788
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.arcontrol.2022.04.002

Study on Effecting Parameters of Flat and Hemispherical end Tools in SPIF of Aluminium Foils

Autori: Najm, S. M.; Paniti, I
Pubblicato in: Tehnički vjesnik, 2021, ISSN 1848-6339
Editore: Hrčak
DOI: 10.17559/tv-20190513181910

Analysis and modelling of thrust force in drilling of basalt and carbon fibre reinforced polymer (BFRP and CFRP) composites.

Autori: Gergely Magyar, Norbert Geier
Pubblicato in: Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2023, ISSN 1678-4820
Editore: Springer
DOI: 10.1007/s40430-023-04241-7

Carbon fibre detection in polymer composites reinforced by chopped carbon fibres through digital image processing and machine learning

Autori: Norbert GEIER, Gergely MAGYAR, Jakob GINER, Tamás LUKÁCS, György PÓKA
Pubblicato in: Journal of Composite Materials, 2024, ISSN 0021-9983
Editore: SAGE Publications
DOI: 10.1177/00219983241268861

Vibration based characterization of tool wearing in micro-milling of ceramics

Autori: Móricz, L.; Viharos, Z. J
Pubblicato in: Measurement: sensors, 2021, ISSN 2665-9174
Editore: Elsevier
DOI: 10.1016/j.measen.2021.100174

A Reference Architecture enabling Sensor Networks based on homogeneous AASs

Autori: V. Gowtham, A. Willner, W. Pilar von Pilchau, J. Hähner, M. Riedl, N.-S. Koutrakis, J. Polte, E. Uhlmann, J. Tayub, V. Frey
Pubblicato in: Automation, 2021, ISSN 2450-5102
Editore: VDI
DOI: 10.51202/9783181023921-5

Mechanical Deburring of Drilling-Induced Exit Burrs in Carbon Fibre Reinforced Polymer Composites

Autori: András Gödri; Anna Nikoletta Helle
Pubblicato in: Hungarian Journal of Industry and Chemistry, 2022, ISSN 2450-5102
Editore: University of Pannonia
DOI: 10.33927/hjic-2021-20

Episodes of Robotics and Manufacturing Automation Achievements from the Past Decades and Vision for the Next Decade

Autori: Geza Haidegger, Imre Paniti
Pubblicato in: Acta Polytechnica Hungarica, Numero 16/10, 2019, Pagina/e 119-136, ISSN 1785-8860
Editore: Obuda University
DOI: 10.12700/aph.16.10.2019.10.8

Recent advances in learning content and infrastructure development for layout and process planning courses at the SZTAKI learning factories

Autori: Zsolt Kemény, Richárd Beregi, Bence Tipary, Kristóf Abai, János Nacsa
Pubblicato in: Procedia Manufacturing, Numero 45, 2020, Pagina/e 319-324, ISSN 2351-9789
Editore: Elsevier
DOI: 10.1016/j.promfg.2020.04.024

Decomposition approach to optimal feature-based assembly planning

Autori: Csaba Kardos, András Kovács, József Váncza
Pubblicato in: CIRP Annals, Numero 66/1, 2017, Pagina/e 417-420, ISSN 0007-8506
Editore: Hallwag AG
DOI: 10.1016/j.cirp.2017.04.002

Human–robot collaborative assembly in cyber-physical production: Classification framework and implementation

Autori: Xi Vincent Wang, Zsolt Kemény, József Váncza, Lihui Wang
Pubblicato in: CIRP Annals, Numero 66/1, 2017, Pagina/e 5-8, ISSN 0007-8506
Editore: Hallwag AG
DOI: 10.1016/j.cirp.2017.04.101

Simulation model study for manufacturing effectiveness evaluation in crowdsourced manufacturing

Autori: Toshiya Kaihara, Yoshiteru Katsumura, Yuuichi Suginishi, Botond Kadar
Pubblicato in: CIRP Annals, Numero 66/1, 2017, Pagina/e 445-448, ISSN 0007-8506
Editore: Hallwag AG
DOI: 10.1016/j.cirp.2017.04.094

Optimisation of process parameters for the orbital and conventional drilling of uni-directional carbon fibre-reinforced polymers (UD-CFRP)

Autori: Norbert Geier, Tibor Szalay
Pubblicato in: Measurement, Numero 110, 2017, Pagina/e 319-334, ISSN 0263-2241
Editore: Elsevier BV
DOI: 10.1016/j.measurement.2017.07.007

The Influence of the Machining Parameters on the Quality of the Holes Made by μEDM in Electrically Conductive Alumina-Oxide

Autori: Balázs Zsolt Farkas, László Csorba, Tibor Szalay, Valery V. Kuzin, Sergei Yu. Fedorov
Pubblicato in: Solid State Phenomena, Numero 261, 2017, Pagina/e 101-107, ISSN 1662-9779
Editore: Scientific.net
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A discrete simulation-based algorithm for the technological investigation of 2.5D milling operations

Autori: Adam Jacso, Tibor Szalay, Juan Carlos Jauregui, Juvenal Rodriguez Resendiz
Pubblicato in: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2018, Pagina/e 095440621875726, ISSN 0954-4062
Editore: Professional Engineering Publishing Ltd.
DOI: 10.1177/0954406218757267

CONCEPTION AN INTELLIGENT NODE ARCHITECTURE FOR INTRALOGISTICS

Autori: Gábor Bohács, Dániel Gáspár, Dorina Kánya
Pubblicato in: Acta logistica, Numero 5/2, 2018, Pagina/e 31-37, ISSN 1339-5629
Editore: 4S go, s.r.o.
DOI: 10.22306/al.v5i2.82

Lead time prediction using machine learning algorithms: A case study by a semiconductor manufacturer

Autori: Lukas Lingitz, Viola Gallina, Fazel Ansari, Dávid Gyulai, András Pfeiffer, Wilfried Sihn, László Monostori
Pubblicato in: Procedia CIRP, Numero 72, 2018, Pagina/e 1051-1056, ISSN 2212-8271
Editore: Elsevier
DOI: 10.1016/j.procir.2018.03.148

An Approach for the Integration of Anticipative Maintenance Strategies within a Production Planning and Control Model

Autori: Robert Glawar, Matthias Karner, Tanja Nemeth, Kurt Matyas, Wilfried Sihn
Pubblicato in: Procedia CIRP, Numero 67, 2018, Pagina/e 46-51, ISSN 2212-8271
Editore: Elsevier
DOI: 10.1016/j.procir.2017.12.174

Supply chains robustness: Challenges and opportunities

Autori: Judit Monostori
Pubblicato in: Procedia CIRP, Numero 67, 2018, Pagina/e 110-115, ISSN 2212-8271
Editore: Elsevier
DOI: 10.1016/j.procir.2017.12.185

Cyber-physical Manufacturing in the Light of Professor Kanji Ueda's Legacy

Autori: József Váncza, László Monostori
Pubblicato in: Procedia CIRP, Numero 63, 2017, Pagina/e 631-638, ISSN 2212-8271
Editore: Elsevier
DOI: 10.1016/j.procir.2017.04.059

Application of Generic CAD Models for Supporting Feature Based Assembly Process Planning

Autori: Csaba Kardos, József Váncza
Pubblicato in: Procedia CIRP, Numero 67, 2018, Pagina/e 446-451, ISSN 2212-8271
Editore: Elsevier
DOI: 10.1016/j.procir.2017.12.240

PriMa: a prescriptive maintenance model for cyber-physical production systems

Autori: Fazel Ansari, Robert Glawar, Tanja Nemeth
Pubblicato in: International Journal of Computer Integrated Manufacturing, Numero 32/4-5, 2019, Pagina/e 482-503, ISSN 0951-192X
Editore: Taylor & Francis
DOI: 10.1080/0951192x.2019.1571236

Towards joint optimization of product design, process planning and production planning in multi-product assembly

Autori: Daisuke Tsutsumi, Dávid Gyulai, András Kovács, Bence Tipary, Yumiko Ueno, Youichi Nonaka, László Monostori
Pubblicato in: CIRP Annals, Numero 67/1, 2018, Pagina/e 441-446, ISSN 0007-8506
Editore: Hallwag AG
DOI: 10.1016/j.cirp.2018.04.036

Analysis of thrust force and characteristics of uncut fibres at non-conventional oriented drilling of unidirectional carbon fibre-reinforced plastic (UD-CFRP) composite laminates

Autori: Norbert Geier, Tibor Szalay, Márton Takács
Pubblicato in: The International Journal of Advanced Manufacturing Technology, Numero 100/9-12, 2019, Pagina/e 3139-3154, ISSN 0268-3768
Editore: Springer Verlag
DOI: 10.1007/s00170-018-2895-8

Evaluation, ranking and positioning of measurement methods for pellet production

Autori: K. Konrád, Zs.J. Viharos, G. Németh
Pubblicato in: Measurement, Numero 124, 2018, Pagina/e 568-574, ISSN 0263-2241
Editore: Elsevier BV
DOI: 10.1016/j.measurement.2017.12.036

Determination of the working gap and optimal machining parameters for magnetic assisted ball burnishing

Autori: Zsolt F. Kovács, Zsolt J. Viharos, János Kodácsy
Pubblicato in: Measurement, Numero 118, 2018, Pagina/e 172-180, ISSN 0263-2241
Editore: Elsevier BV
DOI: 10.1016/j.measurement.2018.01.033

Heterogeneous string stability of unidirectionally interconnected MIMO LTI systems

Autori: Gábor Rödönyi
Pubblicato in: Automatica, Numero 103, 2019, Pagina/e 354-362, ISSN 0005-1098
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2019.02.015

Computational method for estimating the domain of attraction of discrete-time uncertain rational systems

Autori: Péter Polcz, Tamás Péni, Gábor Szederkényi
Pubblicato in: European Journal of Control, Numero 49, 2019, Pagina/e 68-83, ISSN 0947-3580
Editore: Lavoisier
DOI: 10.1016/j.ejcon.2018.12.004

The fast constant engagement offsetting method for generating milling tool paths

Autori: Adam Jacso, Gyula Matyasi, Tibor Szalay
Pubblicato in: The International Journal of Advanced Manufacturing Technology, Numero 103/9-12, 2019, Pagina/e 4293-4305, ISSN 0268-3768
Editore: Springer Verlag
DOI: 10.1007/s00170-019-03834-8

The effect of radial rake angle on chip thickness in the case of face milling

Autori: György Póka, István Németh
Pubblicato in: Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2019, Pagina/e 095440541984924, ISSN 0954-4054
Editore: Professional Engineering Publishing Ltd.
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Advanced cutting tools and technologies for drilling carbon fibre reinforced polymer (CFRP) composites: A review

Autori: Norbert Geier, J. Paulo Davim, Tibor Szalay
Pubblicato in: Composites Part A: Applied Science and Manufacturing, Numero 125, 2019, Pagina/e 105552, ISSN 1359-835X
Editore: Pergamon Press Ltd.
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Smart Cyber-Physical System applications in production and logistics: special issue editorial

Autori: Elisabeth Ilie-Zudor, Davy Preuveneers, Anikó Ekárt, Eckhard Hohwieler
Pubblicato in: International Journal of Computer Integrated Manufacturing, Numero 32/4-5, 2019, Pagina/e 327-328, ISSN 0951-192X
Editore: Taylor & Francis
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Roadmapping towards industrial digitalization based on an Industry 4.0 maturity model for manufacturing enterprises

Autori: Andreas Schumacher, Tanja Nemeth, Wilfried Sihn
Pubblicato in: Procedia CIRP, Numero 79, 2019, Pagina/e 409-414, ISSN 2212-8271
Editore: Elsevier
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Conceptual Design of an Integrated Autonomous Production Control Model in association with a Prescriptive Maintenance Model (PriMa)

Autori: Robert Glawar, Fazel Ansari, Csaba Kardos, Kurt Matyas, Wilfried Sihn
Pubblicato in: Procedia CIRP, Numero 80, 2019, Pagina/e 482-487, ISSN 2212-8271
Editore: Elsevier
DOI: 10.1016/j.procir.2019.01.047

The effects of machining strategies of magnetic assisted roller burnishing on the resulted surface structure

Autori: Zsolt Kovács, Zsolt János Viharos, János Kodácsy
Pubblicato in: IOP Conference Series: Materials Science and Engineering, Numero 448, 2018, Pagina/e 012002, ISSN 1757-899X
Editore: IOP Publishing
DOI: 10.1088/1757-899x/448/1/012002

Effect of cutting parameters on section borders of the empirical specific cutting force model for cutting with micro-sized uncut chip thickness

Autori: István Biró, Tibor Szalay, Norbert Geier
Pubblicato in: Procedia CIRP, Numero 77, 2018, Pagina/e 279-282, ISSN 2212-8271
Editore: Elsevier
DOI: 10.1016/j.procir.2018.09.015

Trochoid milling of carbon fibre-reinforced plastics (CFRP)

Autori: Norbert Geier, Tibor Szalay, István Biró
Pubblicato in: Procedia CIRP, Numero 77, 2018, Pagina/e 375-378, ISSN 2212-8271
Editore: Elsevier
DOI: 10.1016/j.procir.2018.09.039

Experimental Investigation on the Single Point Incremental Forming of AlMn1Mg1 Foils using Flat End Tools

Autori: Sherwan M. Najm, Imre Paniti
Pubblicato in: IOP Conference Series: Materials Science and Engineering, Numero 448, 2018, Pagina/e 012032, ISSN 1757-899X
Editore: IOP Publishing
DOI: 10.1088/1757-899x/448/1/012032

Indirect measurement and diagnostics of the tool wear for ceramics micro-milling optimisation

Autori: L Móricz, Zs J Viharos, A Németh, A Szépligeti
Pubblicato in: Journal of Physics: Conference Series, Numero 1065/10, 2018, Pagina/e 102003, ISSN 1742-6588
Editore: Institute of Physics
DOI: 10.1088/1742-6596/1065/10/102003

Annihilator design for linear parameter varying systems

Autori: Z. Szabó, T. Péni, J. Bokor
Pubblicato in: IFAC-PapersOnLine, Numero 51/24, 2018, Pagina/e 1185-1192, ISSN 2405-8963
Editore: Elsevier
DOI: 10.1016/j.ifacol.2018.09.701

Design of the optimal motions of autonomous vehicles in intersections through neural networks

Autori: Balázs Németh, Péter Gáspár, Dávid Szőcs, András Mihály
Pubblicato in: IFAC-PapersOnLine, Numero 51/9, 2018, Pagina/e 19-24, ISSN 2405-8963
Editore: Elsevier
DOI: 10.1016/j.ifacol.2018.07.004

Detection filter design for homogeneous multi-agent networks

Autori: Z. Szabó, J. Bokor, S. Hara
Pubblicato in: IFAC-PapersOnLine, Numero 51/24, 2018, Pagina/e 586-591, ISSN 2405-8963
Editore: Elsevier
DOI: 10.1016/j.ifacol.2018.09.635

Transformations for linear parameter varying systems

Autori: Z. Szabó, J. Bokor
Pubblicato in: IFAC-PapersOnLine, Numero 51/26, 2018, Pagina/e 87-93, ISSN 2405-8963
Editore: Elsevier
DOI: 10.1016/j.ifacol.2018.11.163

Physical Internet – a Novel Application Area for Industry 4.0

Autori: Puskas, Eszter; Bohács, Gábor
Pubblicato in: International Journal of Engineering and Management Sciences, Numero 4, 2019, Pagina/e 152-161, ISSN 2229-600x
Editore: Society for Science and Nature

Drilling fibre reinforced polymer composites (CFRP and GFRP): An analysis of the cutting force of the tilted helical milling process

Autori: CsongorPereszlai, NorbertGeier, stvánPoór, Barnabás Zoltán, BalázsGyörgyPóka
Pubblicato in: Composite Structures, 2021, ISSN 0263-8223
Editore: Elsevier BV
DOI: 10.1016/j.compstruct.2021.113646

Improvements of surface tribological properties by magnetic assisted ball burnishing

Autori: Zsolt F.Kovács, Zsolt J.Viharosa, JánosKodácsy
Pubblicato in: Surface and Coatings Technology, 2022, ISSN 0257-8972
Editore: Elsevier BV
DOI: 10.1016/j.surfcoat.2022.128317

Industry 4.0 readiness in manufacturing: Company Compass 2.0, a renewed framework and solution for Industry 4.0 maturity assessment

Autori: Nick, Kádár
Pubblicato in: Procedia Manufacturing, 2021, ISSN 2351-9789
Editore: Elsevier
DOI: 10.1016/j.promfg.2021.07.007

An Online Toolkit for Applications Featuring Collaborative Robots Across Different Domains

Autori: Saenz, José; Bessler-Etten, Jule; Valori, Marcello; Prange-Lasonder, Gerdienke B.; Fassi, Irene; Bidard, Catherine; Lassen, Aske Bach; Paniti, Imre; Toth,Andras; Stuke, Tobias; Wrede, Sebastian; Nielsen, Kurt
Pubblicato in: IEEE Transactions on Human-Machine Systems, 2023, ISSN 2168-2291
Editore: IEEE Systems, Man, and Cybernetics Society
DOI: 10.1109/thms.2022.10

Machine Learning Approach for Degradation Path Prediction Using Different Models and Architectures of Artificial Neural Networks

Autori: Basheer Shaheen, István Németh
Pubblicato in: Periodica Polytechnica Mechanical Engineering, 2022, ISSN 0324-6051
Editore: Budapesti Muszaki es Gazdasagtudomanyi Egyetem/Budapest University of Technology and Economics
DOI: 10.3311/ppme.20145

Poisson Equations, Lipschitz Continuity and Controlled Queues.

Autori: Carè A., Csáji B. Cs., Gerencsér B., Gerencsér L., Rásonyi M
Pubblicato in: IEEE Transactions on Automatic Control, 2022, ISSN 0018-9286
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.48550/arxiv.1906.09464

Beyond the profit motive: Environmentally conscious (re)design of supply chain structures

Autori: Judit Monostori
Pubblicato in: Procedia CIRP, Numero 93, 2020, Pagina/e 808-813, ISSN 2212-8271
Editore: Elsevier
DOI: 10.1016/j.procir.2020.03.033

Generative Künstliche Intelligenz - Neue Horizonte für das Technologiemanagement?

Autori: Günther Schuh , Leonard Cassel, Bastian Thanhäuser, Thomas Scheuer
Pubblicato in: Industry 4.0 Science, 2024, ISSN 2942-6170
Editore: Industry 4.0 Science
DOI: 10.30844/i4sd.24.3.6

The Actigraphy-Based Identification of Premorbid Latent Liability of Schizophrenia and Bipolar Disorder

Autori: Ádám Nagy ,József Dombi ,Martin Patrik Fülep ,Emese Rudics ,Emőke Adrienn Hompoth ,Zoltán Szabó ,András Dér ,András Búzás ,Zsolt János Viharos ,Anh Tuan Hoang ,Bálint Maczák ,Gergely Vadai ,Zoltán Gingl ,Szandra László ,Vilmos Bilicki, István Szendi
Pubblicato in: MDPI, 2022, ISSN 2078-2489
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s23020958

A mutualistic framework for sustainable capacity sharing in manufacturing

Autori: Ádám Szaller, Gianfranco Pedone, Péter Egri, Ádám Szalóki, Gábor Nick
Pubblicato in: Procedia CIRP, Numero 93, 2020, Pagina/e 938-943, ISSN 2212-8271
Editore: Elsevier
DOI: 10.1016/j.procir.2020.04.024

A stochastic approach to calculate assembly cycle times based on spatial shop-floor data stream

Autori: Júlia Bergmann, Dávid Gyulai, Dávid Morassi, József Váncza
Pubblicato in: Procedia CIRP, Numero 93, 2020, Pagina/e 1164-1169, ISSN 2212-8271
Editore: Elsevier
DOI: 10.1016/j.procir.2020.03.052

Allocating raw materials to competing projects

Autori: Peter Egri, Tamás Kis
Pubblicato in: Computers & Industrial Engineering, Numero 143, 2020, Pagina/e 106386, ISSN 0360-8352
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.cie.2020.106386

A drilling case study in polymer composites reinforced by virgin and recycled carbon fibres (CFRP and rCFRP) to analyse thrust force and torque

Autori: Norbert Geier, Dániel István Poór, Csongor Pereszlai, Péter Tamás-Bényei, Jinyang Xu
Pubblicato in: The International Journal of Advanced Manufacturing Technology, 2022, ISSN 0268-3768
Editore: Springer Verlag
DOI: 10.1007/s00170-022-08947-1

Influence of fibre orientation on cutting force in up and down milling of UD-CFRP composites

Autori: Norbert Geier
Pubblicato in: The International Journal of Advanced Manufacturing Technology, Numero 111/3-4, 2020, Pagina/e 881-893, ISSN 0268-3768
Editore: Springer Verlag
DOI: 10.1007/s00170-020-06163-3

Effect of lead time prediction accuracy in trust-based resource sharing

Autori: Ádám Szaller, Botond Kádár
Pubblicato in: IFAC, 2021, ISSN 2405-8963
Editore: Elsevier
DOI: 10.1016/j.ifacol.2021.08.132

Flexible Automatisierung mit Virtuellen Agenten

Autori: E. Uhlmann, J. Polte, C. Mühlich, K. Lindow, J. Harrendorf
Pubblicato in: wt Werkstattstechnik online, 2022, ISSN 1436-4980
Editore: VDI Fachmedien
DOI: 10.37544/1436-4980-2022-07-08-30

Improving the Planning Quality in Practice with Artificial Intelligence

Autori: Czarnetzki, L; Karnok, Dávid; Breitschopf, J; Karner, M; Gashi, M
Pubblicato in: Numero 1, 2023
Editore: IMEKO
DOI: 10.21014/tc10-2023.004

Engineering Support Systems for Industrial Machines and Plants

Autori: Youichi Nonaka, Takahiro Nakano, Kenji Ohya, Atsuko Enomoto, Gábor Erdős, Gergely Horváth, József Váncza
Pubblicato in: Advances in Through-life Engineering Services, 2017, Pagina/e 199-220, ISBN 978-3-319-49938-3
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-49938-3_13

A Process Model for Enhancing Digital Assistance in Knowledge-Based Maintenance

Autori: Klaudia Kovacs, Fazel Ansari, Claudio Geisert, Eckart Uhlmann, Robert Glawar, Wilfried Sihn
Pubblicato in: Machine Learning for Cyber Physical Systems - Selected papers from the International Conference ML4CPS 2018, Numero 9, 2019, Pagina/e 87-96, ISBN 978-3-662-58484-2
Editore: Springer Berlin Heidelberg
DOI: 10.1007/978-3-662-58485-9_10

Machinability analysis of carbon fibre-reinforced plastics using compression tools

Autori: Somoskői B., Geiger N.
Pubblicato in: Bánki Közlemények, Numero 1(3), 5-10, 2018, 2018, Pagina/e 5-10
Editore: Bánki Közlemények

Proceedings of the 17th IMEKO TC 10 and EUROLAB Virtual Conference: “Global Trends in Testing, Diagnostics & Inspection for 2030”.

Autori: Viharos, Zs. J.; Ciani, L.; Bilski, P.; Jakovcic, M
Pubblicato in: 17th IMEKO TC 10 and EUROLAB Virtual Conference: “Global Trends in Testing, Diagnostics & Inspection for 2030”, 2020, ISBN 978-92-990084-6-1
Editore: IMEKO

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