Technical Program
Day 1, Wednesday, July 1, 2020
Day 1: Wednesday, July 1, 2020 |
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6-7am Chicago | 1-2pm Frankfurt | 7-8pm Beijing | ||
OPENING + PLENARY SESSION |
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Prof. Hoda ElMaraghy University of Windsor, Next Generation Manufacturing Systems |
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7-8am Chicago | 2-3pm Frankfurt | 8-9pm Beijing |
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PARALLEL SESSIONS | ||
A.1 | MANUFACTURING SYSTEMS | |
PROCIR-D-20-00049 | Helping companies to evaluate their status quo in information security with a serious gaming-based economic quantification approach | |
Jacques Engländer, Günther Schuh, Violett Zeller, Jan Hicking, Martin Perau | ||
PROCIR-D-19-01913 | Trust-Driven Vehicle Product-Service System: A Blockchain Approach | |
Xingzhi Wang, Yuchen Wang, Xiwei Xu, Ang Liu | ||
PROCIR-D-19-01914 | Outcome Economy: Suription Business Models in Machinery and Plant Engineering | |
Lucas Maximilian Wenger, Günther Schuh | ||
PROCIR-D-19-01921 | Integrating Sustainability Considerations into Product Variety and Portfolio Management | |
Khaled Medini, Thorsten Wuest, David Romero, Valérie Laforest | ||
PROCIR-D-19-02017 | Traditional and Activity Based Aggregate Job Costing Model | |
Darwish Alami, Waguih ElMaraghy | ||
A.2 | METAL CUTTING AND MACHINE TOOLS | |
PROCIR-D-20-00057 | Improving dynamic process stability in milling of thin-walled workpieces by optimization of spindle speed based on a linear parameter-varying model | |
Semir Maslo, Bruno Menezes, Pascal Kienast, Philipp Ganser, Thomas Bergs | ||
PROCIR-D-19-01904 | Chatter stability prediction for multi-robots collaborative milling system | |
Xiong Zhao, Lianyu Zheng, Xinyu Liu, Yansheng Cao | ||
PROCIR-D-19-02048 | Energy Prediction in Process Planning of Five-axis Machining by Data-driven Modelling | |
Vishnu V S, Kiran George Varghese, Gurumoorthy B | ||
PROCIR-D-19-02059 | A sensor framework for combined data streams and in-situ characterization of machining processes | |
Darya Botkina, Bernd Peukert, Tilman Gebhard, Benedikt Schwarz | ||
PROCIR-D-19-02077 | Preparation of symmetrical and asymmetrical cutting edges on solid cutting tools using brushing tools with filament-integrated diamond grits | |
Sebastian Alexander Maximilian Schneider, Thomas Bergs, Mohamed Amara, Philipp Ganser | ||
A.3 | DIGITAL TWINS AND IoT | |
PROCIR-D-19-01915 | Digital Twin driven Supply Chain Planning | |
Yuchen Wang, Xingzhi Wang, Ang Liu | ||
PROCIR-D-19-01925 | Product mix optimization model for an Industry 4.0- enabled manufacturing-remanufacturing system | |
Saleh Bagalagel, Waguih ElMaraghy | ||
PROCIR-D-19-02069 | Digital twins in manufacturing: an assessment of drivers, enablers and barriers to implementation | |
Anis Assad Neto, Fernando Deschamps, Elias Ribeiro da Silva, Edson Pinheiro de Lima | ||
PROCIR-D-19-02075 | Virtual Factory: Digital Twin Based Integrated Factory Simulations | |
Emre Yildiz, Charles Mřller, Arne Bilberg | ||
PROCIR-D-19-02079 | Creation of digital production twins for the optimization of value creation in single and small batch production | |
Günther Schuh, Christoph Kelzenberg, Jan Wiese, Niklas Kessler | ||
A.4 | ROBOTIC AND ASSEMBLY SYSTEMS | |
PROCIR-D-20-00060 | A Participatory Research Approach for studying the Design Process of Flexible Assembly Systems | |
Natalia Svensson Harari, Anders Fundin, Anna-Lena Carlsson | ||
PROCIR-D-19-01903 | Data-driven and AR assisted intelligent collaborative assembly system for large-scale complex products | |
Xinyu Liu, Lianyu Zheng, Jiazhou Shuai, Renjie Zhang, Yun Li | ||
PROCIR-D-19-02027 | Data driven Models for Fault Classification and Prediction of Industrial Robots | |
Corbinian Nentwich, Gunther Reinhart | ||
PROCIR-D-19-02067 | Skill-based Programming of Force-controlled Assembly Tasks using Deep Reinforcement Learning | |
Arik Laemmle, Thomas Koenig | ||
PROCIR-D-19-02078 | Hardware-in-the-Loop based Simulation of Safety Reaction Times at the Example of a Stäubli Robot Cell | |
Stefan Trabesinger, Florian Payerl, Rudolf Pichler | ||
A.5 | ADDITIVE MANUFACTURING | |
PROCIR-D-20-00102 | Towards the integration of additively manufactured photopolymer dies in the polymer profile extrusion process chain | |
Andrea Turazza, Ali Davoudinejad, Matteo Calaon, David Bue Pedersen, Guido Tosello | ||
PROCIR-D-19-01909 | Thermal stability and reactivity of titanium halide precursors for the atomic layer deposition of TiO2 on a Pt (111) surface | |
Lesego M Mohlaha, Tien-Chien Jen, Peter A Olubambi | ||
PROCIR-D-19-01917 | Towards Operating Curves of Additive Manufacturing Equipment: Production Logistics and its Contribution to Increased Productivity and Reduced Throughput Time | |
Tobias Stittgen, Johannes Henrich Schleifenbaum | ||
PROCIR-D-19-01919 | Sheet Metal Forming Using Additively Manufactured Polymer Tools | |
Günther Schuh, Georg Bergweiler, Falko Fiedler, Philipp Bickendorf* | ||
PROCIR-D-19-02461 | On the implementation of metal additive manufacturing in the tooling process chain for polymer profile extrusion | |
Martin Kain, Matteo Calaon, David Bue Pedersen, Guido Tosello | ||
A.6 | MANUFACTURING PROCESSES & DESIGN | |
PROCIR-D-20-00059 | A Graph-based Approach to Manage CAE Data in a Data Lake | |
Julian Dominik Ziegler, Peter Reimann, Florian Keller, Bernhard Mitschang | ||
PROCIR-D-20-00064 | Forming Challenges of Extruded Wood Plastic Composite Products in a Post-Production Process | |
Amir Toghyani, Sami Matthews, Juha Varis | ||
PROCIR-D-19-02112 | Object localization utilizing 3D point cloud clustering approach | |
Gergely Horváth, Gábor Erdos | ||
PROCIR-D-19-02274 | Digital Process Management for the Integrated Bending of Thermoplastic CFRP Tapes | |
Daniel Kupzik, Sven Coutandin, Jürgen Fleischer | ||
PROCIR-D-19-02280 | Simulation of Kinematic Hardening Model for Carbon Steel AISI 1035 Weld Stress Prediction during the Welding Assembly of a Railcar | |
Ilesanmi Afolabi Daniyan, Boitumelo Ramatsetse, Khumbulani Mpofu, Festus Fameso | ||
Day 1: Wednesday, July 1, 2020 |
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8-9am Chicago | 3-4pm Frankfurt | 9-10pm Beijing | ||
PARALLEL SESSIONS | ||
B.1 | MANUFACTURING SYSTEMS | |
PROCIR-D-19-02028 | Affordable Data Integration Approach for Production Enterprises | |
David Sanderson, Jack C. Chaplin, Svetan Ratchev | ||
PROCIR-D-19-02065 | Using context data to improve the overall product quality in process chains | |
Juergen Henke, Dominik Lucke, Hartmut Eigenbrod | ||
PROCIR-D-19-02080 | An Approach to Analyze the Performance of Advanced Manufacturing Environment. | |
Kashif Mahmood, Tauno Otto, Tavo Kangru, Vladimir Kuts | ||
PROCIR-D-19-02105 | Metrological PPC: Determination of added-value driven module process graphs | |
Thilo Schlegel, Jörg Siegert, Tobias Mahr, Frank Herbrig, Thomas Bauernhansl | ||
PROCIR-D-19-02118 | Logistic decisions in value stream design: a case study | |
Joscha Kaiser, Joachim Metternich | ||
B.2 | METAL CUTTING AND MACHINE TOOLS | |
PROCIR-D-19-02083 | Variation compensation in machining processes using dual quaternions | |
Filmon Yacob, Daniel Semere | ||
PROCIR-D-19-02084 | AI-based Approach for Predicting the Machinability under Consideration of Material Batch Deviations in Turning Processes | |
Benjamin Lutz, Dominik Kisskalt, Daniel Regulin, Jörg Franke | ||
PROCIR-D-19-02103 | A unified approach towards performance monitoring and condition-based maintenance in grinding machines | |
Muhammad Ahmer, Pär Marklund, Martin Gustafsson, Kim Berglund, | ||
PROCIR-D-19-02138 | CNC machining of large FRPC parts employing workpiece localization and toolpath adaptation | |
Omar Ashal, Luka Selak, Drago Bracun | ||
PROCIR-D-19-02140 | The development of a digital twin for machining processes for the application in aerospace industry | |
Albrecht Hänel, Thorben Schnellhardt, Eric Wenkler, Andreas Nestler, Alexander Brosius, Christian Corinth, Alexander Fay, Steffen Ihlenfeldt | ||
B.3 | DIGITAL TWINS AND IoT | |
PROCIR-D-19-02205 | A Digital Twin Reference for Mass Personalization in Industry 4.0 | |
Shohin Aheleroff, Xun William Xu, Ray Zhong | ||
PROCIR-D-19-02115 | Method for data inventory and classification | |
Melina Massmann, Maurice Meyer, Maximilian Frank, Roman Dumitrescu | ||
PROCIR-D-19-02149 | Digital Twin: Multi-dimensional Model Reduction Method for Performance Optimization of the Virtual Entity | |
Ananda Chakraborti, Arttu Heininen, Kari T. Koskinen | ||
PROCIR-D-19-02155 | Product family design and optimization: A digital twin-enhanced approach | |
Pai Zheng, Kendrik Yan Hong Lim, Master Degree | ||
PROCIR-D-19-02169 | Digital Twins and Blockchain-Proof of Concept | |
Christian Petersson Nielsen, Elias Ribeiro da Silva, Fei Yu | ||
B.4 | ROBOTIC AND ASSEMBLY SYSTEMS | |
PROCIR-D-19-02099 | Modeling and evaluating agile assembly systems using mixed integer linear programming | |
Peter Burggräf, Matthias Dannapfel, Tobias Adlon, Esben Schukat, Hannes Kahmann, Lucian Holtwiesche | ||
PROCIR-D-19-02110 | Determining and Evaluating Trajectories of a Modular Machine End-Effector in a Manufacturing Environment using a Game Engine | |
Liliana Zarco, Jörg Siegert, Thilo Schlegel, Thomas Bauernhansl | ||
PROCIR-D-19-02127 | A Human-Robot Collaboration System towards High Accuracy | |
Xi Vincent Wang, Lihui Wang | ||
PROCIR-D-19-02134 | Automated scenario analysis of reinforcement learning controlled line-less assembly systems | |
Amon Goeppert, Robert H. Schmitt | ||
PROCIR-D-19-02141 | An Ontology for Human-Robot Collaboration | |
Alessandro Umbrico, Andrea Orlandini, Amedeo Cesta | ||
B.5 | ADDITIVE MANUFACTURING | |
PROCIR-D-19-02019 | An Industry 4.0 framework for tooling production using metal additive manufacturing-based first-time-right smart manufacturing system. | |
Mandaná Moshiri, Amal Charles, Ahmed Elkaseer, Steffen Scholz, Sankhya Mohanty, Guido Tosello | ||
PROCIR-D-19-02064 | Method for generating manufacturable, topology-optimized parts for Laminated Layer Manufacturing | |
Nico Matthias Helfesrieder, Armin Lechler, Alexander Verl | ||
PROCIR-D-19-02120 | Estimation of Residual Stress and Deformation in Selective Laser Melting of Ti6Al4V Alloy | |
Hong-Seok Park, Md Jonaet Ansari, in Mechanical Engineering | ||
PROCIR-D-19-02194 | Multi-Material Additive Manufacturing Recycling of binary Metal Powder Mixtures by Screening | |
Max Horn, Lena Prestel, Georg Schlick, Matthias Schmitt, Chrsitine Anstaett, Gunther Reinhart | ||
PROCIR-D-19-02202 | Automated Feature Extraction for Hybrid Additive-Subtractive Remanufacturing | |
Yufan Zheng, Rafiq Ahmad | ||
B.6 | MANUFACTURING PROCESSES & DESIGN | |
PROCIR-D-19-02285 | Optimisation of Ultrasonically Welded Joints through Machine Learning | |
Patrick G Mongan, Eoin P Hinchy, Noel P O’Dowd, Conor T McCarthy | ||
PROCIR-D-19-02304 | A Graphical Toolkit for IEC 62264-2 | |
Laurens Lang, Bernhard Wally, Christian Huemer, Radek Šindelár, Alexandra Mazak, Manuel Wimmer | ||
PROCIR-D-19-02306 | Model-Based Design of Energy-Efficient Vacuum Handling Processes | |
Felix Gabriel, Paul Bobka, Klaus Dröder | ||
PROCIR-D-19-02359 | Extracting shape features from a surface mesh using geometric reasoning | |
Torbjørn Leirmo, Ivanna Baturynska, Kristian Martinsen | ||
PROCIR-D-19-02364 | Simulation of the airframe assembly process with regard to friction in fastening elements | |
Sergey Lupuleac, Margarita Petukhova, Julia Shinder, Maria Churilova, Elodie Bonhomme | ||
Day 1: Wednesday, July 1, 2020 |
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9-10am Chicago | 4-5pm Frankfurt | 10-11pm Beijing | ||
PARALLEL SESSIONS | ||
C.1 | MANUFACTURING SYSTEMS | |
PROCIR-D-19-02130 | Reference architecture for the industrial implementation of Zero-Defect Manufacturing strategies | |
Maria Chiara Magnanini, Marcello Colledani, Davide Caputo | ||
PROCIR-D-19-02173 | Potentials of Platforms for the Realization of Digital Services for Component Manufacturers | |
Dimitri Petrik, David Straub | ||
PROCIR-D-19-02174 | Manufacturing System Optimization with Lean Methods, Manufacturing Process Objectives and Fuzzy Logic Controller Design | |
Tom Drews, Paul Molenda, Oliver Oechsle | ||
PROCIR-D-19-02180 | Backlog-Sequencing: A Comparison between Workload Control and ConWIP using a simulation approach | |
Paul Molenda, Tizian Mezger, Oliver Oechsle, Frank Döpper | ||
PROCIR-D-19-02183 | Human-Centered Gamification Framework for Manufacturing Systems | |
Jessica Ulmer, Chow Yin Lai, Chi-Tsun Cheng, Jörg Wollert | ||
C.2 | METAL CUTTING AND MACHINE TOOLS | |
PROCIR-D-19-02167 | Amalgamation of Physics-Based Cutting Force Model and Machine Learning Approach for End Milling Operation | |
Ankit Agarwal, Kaushal A Desai | ||
PROCIR-D-19-02168 | Tool and Workpiece Deflection Induced Flatness Errors in Milling of Thin-walled Components | |
Ankit Agarwal, Kaushal A Desai | ||
PROCIR-D-19-02172 | In-process compensation of straightness deviation in BTA deep hole drilling using experimental and simulative analysis | |
Julian Frederic Gerken, Dirk Biermann, Niklas Klages, Berend Denkena | ||
PROCIR-D-19-02209 | Milling stability identification using Bayesian machine learning | |
Jaydeep Karandikar, Andrew Honeycutt, Scott Smith, Tony Schmitz | ||
PROCIR-D-19-02244 | Development of a neural network to recognize standards and features from 3D CAD models | |
Alexander Neb, Raoul Schönhof, Iyed Briki | ||
C.3 | DIGITAL TWINS AND IoT | |
PROCIR-D-19-02241 | New Approach for Digital Factory Using Virtual Reality Technology | |
Fahmi Bellalouna | ||
PROCIR-D-19-02242 | New Approach for Industrial Training Using Virtual Reality Technology | |
Fahmi Bellalouna | ||
PROCIR-D-19-02253 | Qualitative and quantitative evaluation of reconfiguring an automation system using Digital Twin | |
Behrang Ashtari Talkhestani, Dominik Braun, Wolfgang Schloegl, Michael Weyrich | ||
PROCIR-D-19-02254 | Efficient Generation of a Digital Twin Using Object Detection for Data Acquisition and XML-Interface for Model Creation | |
Berend Denkena, Marc-André Dittrich, Sebastian Stobrawa, Josip Stjepandic | ||
PROCIR-D-19-02265 | Approach for an Update Method for Digital Factory Models | |
René Hellmuth, Florian Wehner | ||
C.4 | ROBOTIC AND ASSEMBLY SYSTEMS | |
PROCIR-D-19-02161 | Tolerance management in robot-based assembly optimizes product, process and system deviations | |
Rainer Müller, Matthias Scholer, Leonie Schirmer, Anne Blum | ||
PROCIR-D-19-02162 | Assembly Task Analysis Using the General Assembly Task Model (GATM) on the Shop Floor | |
Sebastian Pimminger, Werner Kurschl, Lisa Panholzer, Thomas Neumayr, Mirjam Augstein, Josef Altmann, Johann Heinzelreiter | ||
PROCIR-D-19-02170 | Accuracy Analysis of Alignment Methods based on Reference Features for Robot-Based Optical Inspection Systems | |
Philipp Bauer, Gunther Reinhart | ||
PROCIR-D-19-02185 | Multi-Staged, Multi-Objective Optimization for Operation Management in Line-less Mobile Assembly Systems (LMAS) | |
Armin Friedrich Buckhorst, Robert Heinrich Schmitt | ||
PROCIR-D-19-02201 | Changeability of Matrix Assembly Systems | |
Michael Trierweiler, Thomas Bauernhansl | ||
C.5 | ADDITIVE MANUFACTURING | |
PROCIR-D-19-02266 | Topology Optimisation and Metal Based Additive Manufacturing of Welding Jig Elements | |
Kolja Lichtenthaeler, Günther Schuh, Georg Bergweiler, Falko Fiedler | ||
PROCIR-D-19-02281 | Anisotropy of additively manufactured 18Ni-300 maraging steel: Threads and surface characteristics | |
Rizwan Ullah, Sampsa Laakso, Esko Niemi | ||
PROCIR-D-19-02292 | A study on impact factors of the energy consumption of the fused deposition modeling process using two-level full factorial experiments | |
Li Yi, Tianwen Chen, Jan C Aurich | ||
PROCIR-D-19-02294 | Feature-based Print Method for Multi-Axis Material Extrusion in Additive Manufacturing | |
Günther Schuh, Georg Bergweiler, Gerret Lukas, Steffen Hohenstein, Jan Schenk | ||
PROCIR-D-19-02305 | Towards Temperature Control Measures for Polymer Additive Injection Molds | |
Günther Schuh, Georg Bergweiler, Gerret Lukas | ||
C.6 | MANUFACTURING PROCESSES & DESIGN | |
PROCIR-D-19-02416 | Using Component-based Software Synthesis and Constraint Solving to generate Sets of Manufacturing Simulation Models | |
Fadil Kallat, Carina Mieth, Jakob Rehof, Anne Meyer | ||
PROCIR-D-19-02418 | Function-optimised generation of an adapted target model for the re-contouring process of fan blades | |
Berend Denkena, Volker Böß, Marc-André Dittrich, Robert Kenneweg | ||
PROCIR-D-19-02442 | Using finite element analysis to develop a digital twin of a manufacturing bending operation | |
Eoin Patrick Hinchy, Cedric Carcagno, Noel P O’Dowd, Conor T McCarthy | ||
PROCIR-D-19-02448 | The Digitization of Design and Manufacturing: A State-of-the-Art Report on the Transition from Strategic Vision to Implementation in Industry | |
Jelena Milisavljevic Syed, Dirk Schaefer | ||
PROCIR-D-19-02449 | Influence of base plate heating and shielding gas on distortion, mechanical and case hardening properties of 16MnCr5 fabricated by laser powder bed fusion | |
Matthias Schmitt, Max Horn, Christine Anstaett, Georg Schlick, Gunther Reinhart | ||
Day 1: Wednesday, July 1, 2020 |
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10-10:30am Chicago | 5-5:30pm Frankfurt | 11-11:30pm Beijing | ||
HAPPY HOUR & FEEDBACK SESSION |
Day 2, Thursday, July 2, 2020
Day 2: Thursday, July 2, 2020 |
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6-7am Chicago | 1-2pm Frankfurt | 7-8pm Beijing | ||
PARALLEL SESSIONS | ||
D.1 | MANUFACTURING SYSTEMS | |
PROCIR-D-19-02184 | A Tool for Holistic Assessment of Digitalization Capabilities in Manufacturing SMEs | |
Daniel Nåfors, Jonatan Berglund, Britta Ottesjö, Sandra Nyström, Björn Johansson, Per Gullander | ||
PROCIR-D-19-02187 | Modeling and assessing the effects of digital technologies on KPIs in manufacturing systems | |
Carina Siedler, Pascal Langlotz, Jan C. Aurich | ||
PROCIR-D-19-02191 | Construction of a virtual supply chain using enterprise e-catalogues | |
Michiko Matsuda, Tatsushi Nishi, Mao Hasegawa, Takuto Terunuma | ||
PROCIR-D-19-02196 | CIRP CMS 2020 Complexity assessment in production: linking complexity drivers and effects | |
Boris Brinzer, Konstanze Schneider | ||
PROCIR-D-19-02392 | Product Traceability in Manufacturing: A technical Review | |
Reuben Schuitemaker*, Xun Xu | ||
D.2 | METAL CUTTING AND MACHINE TOOLS | |
PROCIR-D-19-02255 | Measurement system based on the Seebeck effect for the determination of temperature and tool wear during turning of aluminum alloys | |
Thomas Junge, Hendrik Liborius, Thomas Mehner, Andreas Nestler, Andreas Schubert, Thomas Lampke | ||
PROCIR-D-19-02256 | Efficient Dynamic Machine Tool Simulation with Included Damping and Linearized Friction Effects | |
Thomas Semm, Daniel Spescha, Nino Ceresa, Michael Friedrich Zaeh, Konrad Wegener | ||
PROCIR-D-19-02268 | Intelligent Anomaly Detection of Machine Tools Based on Mean Shift Clustering | |
Markus Netzer, Jürgen Fleischer | ||
PROCIR-D-19-02291 | Process monitoring and impulse detection in face milling using capacitive acceleration sensors based on MEMS | |
Benjamin Clauß, Jonas Albers, Christoph Robert Meinecke, Danny Reuter, Andreas Schubert | ||
PROCIR-D-19-02018 | STEP-NC Enabled Machine Tool Digital Twin | |
Tsubasa Kubota, Reza Hamzeh, Xun Xu | ||
D.3 | DIGITAL TWINS AND IoT | |
PROCIR-D-19-02327 | Measures for a successful digital transformation of SMEs | |
Volker Stich, Violett Zeller, Jan Hicking, Andreas Kraut | ||
PROCIR-D-19-02339 | Digital lifecycle records as an instrument for inter-company knowledge management | |
David Kiklhorn, Michael Wolny, Maximilian Austerjost, Alexander Michalik | ||
PROCIR-D-19-02362 | Evaluation of end-to-end process and information flow analyses through digital transformation in mechanical engineering | |
Thomas Pschybilla, Alex Tassilo Homann, Thomas Bauernhansl | ||
PROCIR-D-19-02369 | The Digital Shadow: Developing a universal model for the automated optimization of cyber-physical production systems based on real-time data | |
Jonas Ehrhardt, Christoph Thomas Hoffmann | ||
PROCIR-D-19-02421 | Digital shop floor management: A target state | |
Alyssa Meißner, Felix Grunert, Joachim Metternich | ||
D.4 | ROBOTIC AND ASSEMBLY SYSTEMS | |
PROCIR-D-19-02208 | Pose error correction of a robot end-effector using a 3D visual sensor for control cabinet wiring | |
Florian Hefner, Simon Schmidbauer, Jörg Franke | ||
PROCIR-D-19-02267 | Limp Component Design for Automatic Assembly -Classification RatingSystem and Design Rules | |
Jerome Norman Trommnau, Alexander Neb, Cord Cordes, Andreas Frommknecht, Jörg Siegert, Johannes Wößner, Thomas Bauernhansl | ||
PROCIR-D-19-02269 | Personalized work instruction system for revitalizing human-machine interaction | |
Daisuke Tsutsumi, Dávid Gyulai, Emma Takáks, Júlia Bergmann, Kikuo Fujita | ||
PROCIR-D-19-02282 | Novel approach to optimization of fastener pattern for airframe assembly process | |
Tatiana Pogarskaia, Sergey Lupuleac, Elodie Bonhomme | ||
PROCIR-D-19-02286 | An agent-based approach to planning and controlling adaptable cell-oriented assembly systems | |
Alexander Gaal, Thomas Ryback, Lukas Lingitz, Philipp Hold, Wilfried Sihn | ||
D.5 | ADDITIVE MANUFACTURING | |
PROCIR-D-19-02297 | Attention Mechanism-Incorporated Deep Learning for AM Part Quality Prediction | |
Jianjing Zhang, Peng Wang, Robert X Gao | ||
PROCIR-D-19-02317 | Feasibility and Process capability of polymer additive injection molds with slide technology | |
Günther Schuh, Georg Bergweiler, Gerret Lukas, Josef Andrew Abrams | ||
PROCIR-D-19-02354 | Clamping and substrate plate system for continuous additive build-up and post-processing of metal parts | |
Moritz Wollbrink, Thomas Bergs, Semir Maslo, Daniel Zimmer, Florian Kellermann | ||
PROCIR-D-19-02452 | Challenges and proposed solutions for aluminium in laser powder bed fusion | |
Julie Langedahl Leirmo | ||
PROCIR-D-20-00051 | Near-field electrospinning on nonconductive substrates using AC fields | |
Nicolas Martinez-Prieto, Kornel Ehmann, Jian Cao | ||
D.6 | PLANNING, SCHEDULING & MAINTENANCE | |
PROCIR-D-19-02272 | Databased prediction and planning of order-specific transition times | |
Günther Schuh, Andreas Gützlaff, Frederick Sauermann, | ||
PROCIR-D-19-02283 | Performance assessment methodology for AI-supported decision-making in production management | |
Peter Burggräf, Johannes Wagner, Benjamin Koke, Milan Bamberg | ||
PROCIR-D-19-02288 | Application of time series data mining for the prediction of transition times in production | |
Günther Schuh, Andreas Gützlaff, Frederick Sauermann, Theresa Theunissen | ||
PROCIR-D-19-02290 | Investigation of the critical reaction times for re-scheduling flexible job shops for different types of unexpected events | |
Foivos Psarommatis, Ali Gharaei, Dimitris Kiritsis | ||
PROCIR-D-19-02295 | A Method for Implementation of Machine Learning Solutions for Predictive Maintenance in Small and Medium Sized Enterprises | |
Rebecca Welte, Manfred Estler, Dominik Martin Lucke | ||
Day 2: Thursday, July 2, 2020 |
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7-8am Chicago | 2-3pm Frankfurt | 8-9pm Beijing | ||
CIRP CMS 2020 SUMMARY + PLENARY SESSION |
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Prof. Wei Chen Northwestern University, Data-Driven Computational Design of Engineered Material Systems |
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Day 2: Thursday, July 2, 2020 |
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8-9am Chicago | 3-4pm Frankfurt | 9-10pm Beijing | ||
PARALLEL SESSIONS | ||
E.1 | MANUFACTURING SYSTEMS | |
PROCIR-D-19-02248 | Towards Increasing Robustness in Global Production Networks by Means of an Integrated Disruption Management | |
Sina Peukert, Jonas Lohmann, Benjamin Haefner, Gisela Lanza | ||
PROCIR-D-19-02258 | Lean Principles in Vertical Farming: A Case Study | |
Francis Jose Baumont De Oliveira*, Hannah Forbes, Dirk Schaefer | ||
PROCIR-D-19-02262 | Process mapping in industry -the self-centred phenomenon and how it effects continuous improvements | |
Anders Johansson, Mariam Nafisi | ||
PROCIR-D-19-02263 | A framework for designing data pipelines for manufacturing systems | |
Omogbai Oleghe, Salonitis Konstantinos | ||
PROCIR-D-19-02276 | Using Smart Services as a Key Enabler for Collaboration in Global Production Networks | |
Florian Stamer, Alexander Korczok, Rainer Silbernagel, Benjamin Häfner, Gisela Lanza | ||
E.2 | METAL CUTTING AND MACHINE TOOLS | |
PROCIR-D-19-02300 | Process monitoring with a cyber-physical cutting tool | |
Walther Maier, Kim Torben Werkle, Hans-Christian Möhring | ||
PROCIR-D-19-02338 | Data-based process analysis in machining production: Case study for quality determination in a drilling process | |
Amina Ziegenbein, Alexander Fertig, Joachim Metternich, Matthias Weigold | ||
PROCIR-D-19-02340 | Validation of machining operations by a Virtual Numerical Controller Kernel based simulation | |
Johannes Schmid, Rudolf Pichler | ||
PROCIR-D-19-02342 | A Use Case to Implement Machine Learning for Life Time Prediction of Manufacturing Tools | |
Robin Oberlé, Sebastian Schorr, Li Yi, Moritz Glatt, Dirk Bähre, Jan Aurich | ||
PROCIR-D-19-02358 | Investigations on the Influence of the Cemented Carbide Grade on the Surface Integrity when End Milling DA 718 | |
Thomas Bergs, Marvin Hardt, Daniel Schraknepper | ||
E.3 | MACHINE LEARNING | |
PROCIR-D-20-00063 | Recognition of car parts in automotive supply chains by combining synthetically generated training data with classical and deep learning based image processing | |
Axel Börold, Michael Teucke, Johannes Rust, Michael Freita | ||
PROCIR-D-19-02035 | Deep reinforcement learning-based dynamic scheduling in smart manufacturing | |
Longfei Zhou, Lin Zhang, Yajun Fang, | ||
PROCIR-D-19-02036 | A Genetic Algorithm-Based Model for Product Platform Design for Hybrid Manufacturing | |
Mostafa Moussa, Hoda ElMaraghy | ||
PROCIR-D-19-02070 | Mutualistic and Adaptive Human-Machine Collaboration Based on Machine Learning in an Injection Moulding Manufacturing Line | |
Andrea Bettoni, Elias Montini, Radostin Tsvetanov, Emanuele Carpanzano, Lorenzo Grazi | ||
PROCIR-D-19-02142 | Streamlining the development of data-driven industrial applications by automated machine learning | |
Dominik Kißkalt, Jörg Franke | ||
E.4 | ROBOTIC AND ASSEMBLY SYSTEMS | |
PROCIR-D-19-02312 | A stochastic approach to calculate assembly cycle times based on spatial shop-floor data stream | |
Júlia Bergmann, Dávid Gyulai, József Váncza | ||
PROCIR-D-19-02332 | Hybrid approach to agile assembly planning -Empirical evaluation of the industrial practice | |
Peter Burggräf, Matthias Dannapfel, Tobias Adlon, Carsten Fölling | ||
PROCIR-D-19-02337 | Objective data acquisition as the basis of digitization in manual assembly systems | |
Martin Sudhoff, Matthias Linsinger, Bernd Kuhlenkötter | ||
PROCIR-D-19-02353 | Information provision utilizing a dynamic projection system in industrial site assembly | |
Patrick Rupprecht, Hans Kueffner-McCauley, Sebastian Schlund | ||
PROCIR-D-19-02386 | Symbiotic human-robot collaboration: multimodal control using function blocks | |
Sichao Liu, Lihui Wang, Xi Vincent Wang | ||
E.5 | SENSING, PROCESS MONITORING AND CONTROL | |
PROCIR-D-20-00062 | Image Processing based on Deep Neural Networks for Detecting Quality Problems in Paper Bag Production | |
Anna Syberfeldt, Fredrik Vuoluterä | ||
PROCIR-D-19-02023 | A vision-based system for real-time defect detection: a rubber compound part case study | |
Panagiotis Stavropoulos, Alexsios Papacharalampopoulosa, Demitrios Petrides | ||
PROCIR-D-19-02024 | Experimental investigation of rubber extrusion process quality through vibrational testing | |
Panagiotis Stavropoulos, Alexios Papacharalampopoulosa, Demitris Petrides | ||
PROCIR-D-19-02042 | Architecture for Simulation and Optimization of Energy Consumption of Automated Production Systems | |
Jannis Stecken, Matthias Bartelt, Anton Strahilov,Bernd Kuhlenkötter | ||
PROCIR-D-19-02085 | Automated Data Labeling and Anomaly Detection Using Airborne Sound Analysis | |
Matthias Mühlbauerr, Hubert Würschinger, Dominik Polzer, Nico Hanenkamp | ||
E.6 | PLANNING, SCHEDULING & MAINTENANCE | |
PROCIR-D-19-02308 | Dynamic risk consideration of predicted maintenance needs regarding economic efficiency | |
Fabian Foerster, Lukas Nikelowski | ||
PROCIR-D-19-02315 | User-Centered Evaluation of an Augmented Reality-based Assistance System for Maintenance | |
Moritz Quandt, Thies Beinke, Michael Freitag | ||
PROCIR-D-19-02349 | Combined Design and Process Planning for Incremental Manufacturing | |
Ann-Kathrin Reichler, Julian Redeker, Felix Gabriel, Paul Falkenberg, Thomas Vietor, Klaus Dröder | ||
PROCIR-D-19-02410 | A Proposed Production Decision Method for Order Planning Considering Decision Criteria of Multiple Organizations | |
Daisuke Kokuryo, Ken Yamashita, Toshiya Kaihara, Nobutada Fujii, Toyohiro Umeda, Rihito Izutsu | ||
PROCIR-D-19-02413 | A mutualistic framework for sustainable capacity sharing in manufacturing | |
Ádám Szaller, Gianfranco Pedone, Péter Egri, Ádám Szalóki | ||
PROCIR-D-19-02427 | The insufficiency of Lean Tradition -Lean meets Kodak Moments | |
Halvor Holtskog, Geir Ringen, Ottar Henriksen | ||
Day 2: Thursday, July 2, 2020 |
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9-10am Chicago | 4-5pm Frankfurt | 10-11pm Beijing | ||
PARALLEL SESSIONS | ||
F.1 | MANUFACTURING SYSTEMS | |
PROCIR-D-19-02277 | Approach for an Adaptive Control Loop between Supply Network and Manufacturing | |
Dennis Bauer, Thomas Bauernhansl, Alexander Sauer | ||
PROCIR-D-19-02278 | How Current Trends in Mechanical Engineering Can Shape Interorganizational R&D | |
Simon Dreher, Marc Wiedenmann, Philipp Humbeck, Oliver Schöllhammer, MBE, Thomas Bauernhansl | ||
PROCIR-D-19-02284 | Temporal analysis of event-discrete alarm data for improved manufacturing | |
Heiner Reinhardt, Jan-Peter Bergmann, Anke Stoll, Matthias Putz | ||
PROCIR-D-19-02316 | Incorporating Economic Aspects into Recommendation Ranking to Reduce Failure Costs | |
Vitali Hirsch, Peter Reimann, Bernhard Mitschang | ||
PROCIR-D-19-02318 | Towards a risk-oriented Smart PSS Engineering framework | |
Camilo Murillo Coba, Xavier Boucher, Jesus Gonzalez-Feliu, Khaled Medini | ||
F.2 | METAL CUTTING AND MACHINE TOOLS | |
PROCIR-D-19-02365 | Discretization approaches to model orthogonal cutting with Lagrangian, Arbitrary Lagrangian Eulerian, Particle Finite Element method and Smooth Particle Hydrodynamics formulations | |
praveen sridhar, Kristin de Payrebrune | ||
PROCIR-D-19-02366 | Tool Condition Prognostic Model Based on Digital Twin System | |
Nan Xie, Rui Kou | ||
PROCIR-D-19-02380 | Calculation and Programming Considerations for Computing Location Errors of Five-Axis CNC Machine Tools Using Touch-Trigger Probe and Calibration Sphere | |
Jorge Cubas, Syh-Shiuh Yeh, Yu-Sheng Tseng | ||
PROCIR-D-19-02384 | Optimizing index positions on CNC tool magazines considering cutting tool life and duplicates | |
Kaveh Amouzgar | ||
PROCIR-D-19-02430 | Modeling of the Fracture Behavior of CBN Grains during Single Grain Dressing using FEM | |
Thomas Bergs, Marius Ohlert, Maximilian Lachenmaier, Sebastian Barth | ||
F.3 | MACHINE LEARNING | |
PROCIR-D-19-02150 | Machine-Learning-Based Approach for Parameterizing Material Flow Simulation Models | |
Kilian Vernickel, Georg Höllthaler, Lukas Bank, Christian Härdtlein, Ludwig Trauner, Laura Brunner, Nils Weinert, Jan Fischer, Roland Rosen, Gunther Reinhart | ||
PROCIR-D-19-02163 | Systematic review on machine learning (ML) methods for manufacturing processes -Identifying artificial intelligence (AI) methods for field application | |
Simon Fahle, Christopher Prinz, Bernd Kuhlenkötter | ||
PROCIR-D-19-02210 | Using AI to Facilitate Technology Management – Designing an Automated Technology Radar | |
Max-Ferdinand Stroh, Günther Schuhh, Violett Zeller | ||
PROCIR-D-19-02310 | Multi-objective adjustment of remaining useful life predictions based on reinforcement learning | |
Dominik Kozjek, Andreja Malus, Rok Vrabic | ||
PROCIR-D-19-02313 | Application of Machine Learning for Product Batch Oriented Control of Production Processes | |
Moritz Meiners, Joerg Franke | ||
F.4 | ROBOTIC AND ASSEMBLY SYSTEMS | |
PROCIR-D-19-02391 | A Framework for Realizing Industrial Human-Robot Collaboration through Virtual Simulation | |
Niklas Land, Anna Syberfeldt, Tehseen Aslam, Johan Vallhagen | ||
PROCIR-D-19-02394 | Advanced Human-Robot Collaborative Assembly Using Electroencephalogram Signals of Human Brains | |
Abdullah Mohammed, Lihui Wang | ||
PROCIR-D-19-02424 | Capability-based assembly design: An approach for planning an agile assembly system in automotive industry | |
Peter Burggräf, Matthias Dannapfel, Tobias Adlon, Hannes Kahmann, Esben Schukat, Julian Keens | ||
PROCIR-D-19-02450 | Increasing the Robustness of Random Bin Picking by Avoiding Grasps of Entangled Workpieces | |
Marius Moosmann, Felix Spenrath, Kilian Kleeberger, Muhammad Usman Khalid, Manuel Mönnig, Richard Bormann | ||
PROCIR-D-19-02458 | An Augmented Reality Framework for Robotic Tool-path Teaching | |
Sonia Mary Chacko, Armando Granado, Vikram Kapila | ||
F.5 | SENSING, PROCESS MONITORING AND CONTROL | |
PROCIR-D-19-02097 | An investigation upon overhang zones by using finite element modelling and in-situ monitoring systems | |
Gokhan Dursun, Baris Pehlivanogullari, Cagdas Sen, Akin Orhangul | ||
PROCIR-D-19-02124 | Interaction design for multi-user virtual reality systems: An automotive case study | |
Liang Gong, Henrik Söderlund, Leonard Bogojevic, Xiaoxia Xiaoxia Chen, Anton Berce, Björn Johansson | ||
PROCIR-D-19-02125 | Geometry and temperature data fusion for automated measurement during open die forging of large hot workpieces | |
Gašper Škulj, Drago Bracun | ||
PROCIR-D-19-02128 | Hybrid virtual energy metering points -a low-cost energy monitoring approach for production systems based on offline trained prediction models | |
Johannes Sossenheimer, Oliver Vetter, Eberhard Abele | ||
PROCIR-D-19-02137 | Visual Inspection System for Anomaly Detection on KTL Coatings Using Variational Autoencoders | |
Nejc Kozamernik, Drago Bracun |
Day 3, Friday, July 3, 2020
Day 3: Friday, July 3, 2020 |
||
6-7am Chicago | 1-2pm Frankfurt | 7-8pm Beijing | ||
PARALLEL SESSIONS | ||
G.1 | MANUFACTURING SYSTEMS | |
PROCIR-D-19-02329 | Robustness as Enabler for Sustainable Production Networks | |
Ann-Kathrin Onken, Alexander Bader, Ann-Kathrin Götsche, Kirsten Tracht | ||
PROCIR-D-19-02333 | Frequency response analysis of inventory variation in production networks with information sharing | |
Neil Duffie, Michael Freitag | ||
PROCIR-D-19-02347 | A Framework for Managing Innovation Cycles in Manufacturing Systems | |
Andreas Hofer, Felix Brandl, Harald Bauer, Sajedeh Haghi, Gunther Reinhart | ||
PROCIR-D-19-02348 | Simulation-based Assessment of Quality Inspection Strategies on Manufacturing Systems | |
Marc-Andre Filz, Christoph Herrmann, Sebastian Thiede | ||
PROCIR-D-19-02352 | The Impact of the Digital Transformation on Lean Production Systems | |
Simon Schumacher, Andreas Bildstein, Thomas Bauernhansl | ||
G.2 | METAL CUTTING AND MACHINE TOOLS | |
PROCIR-D-19-02436 | Grinding wheel wear and material removal mechanisms during grinding of polycrystalline diamond | |
Thomas Bergs, Ulrich Müller, Frederik Vits, Sebastian Barth | ||
PROCIR-D-19-02443 | Stress-oriented, data-based payment model for machine tools | |
Patrick Andreas Stanula, Christopher Praetzas, Oliver Kohn, Joachim Metternich, Matthias Weigold, Arne Buchwald | ||
PROCIR-D-19-02444 | Digital Twin Approach for Tool Wear Monitoring of Micromilling | |
Christiand Christiand, S.T, Gandjar Kiswanto | ||
PROCIR-D-19-02451 | Cutting force and stability for inserted cutters using structured light metrology | |
Timothy No, Michael Gomez, Scott Smith, Tony Schmitz | ||
PROCIR-D-19-02200 | User-centered information provision of Cyber-Physical Machine Tools | |
Zexuan Zhu, Xun Xu | ||
G.3 | MACHINE LEARNING | |
PROCIR-D-19-02323 | Distributed Cooperative Deep Transfer Learning for Industrial Image Recognition | |
Benjamin Maschler, Simon Kamm, Michael Weyrich | ||
PROCIR-D-19-02330 | Automated machine learning for predictive quality in production | |
Jonathan Krauss, Bruno Machado Pacheco, Hanno Maximilian Zang, Robert Heinrich Schmitt | ||
PROCIR-D-19-02346 | Data driven Analysis of Product State Propagation in Manufacturing Systems using Visual Analytics and Machine Learning | |
Marc-André Filz, Sebastian Gellrich, Christoph Herrmann, Sebastian Thiede | ||
PROCIR-D-19-02367 | A machine learning approach for improved shop-floor operator support using a two-level collaborative filtering and gamification features | |
Nikolaos Nikolakis, George Siaterlis, Kosmas Alexopoulos | ||
PROCIR-D-19-02370 | Machine learning based analysis of factory energy load curves with focus on transition times for anomaly detection | |
Dominik Flick, Claudio Keck, Christoph Herrmann, Sebastian Thiede | ||
G.4 | PLANNING, SCHEDULING & MAINTENANCE | |
PROCIR-D-20-00045 | Integration of Production Scheduling and Group Maintenance Planning in Multi-unit System employing TLBO algorithm | |
Aseem Kumar Mishra, M.Tech, Divya Shrivastava, | ||
PROCIR-D-19-02021 | Lean Maintenance and Repair Implementation A Cross-Case Study of Seven Automotive Service Suppliers | |
Julia Arlinghaus | ||
PROCIR-D-19-02063 | Data-Driven Product Generation and Retrofit Planning | |
Maurice Meyer, Melina Massmann, Maximilian Frank, Roman Dumitrescu | ||
PROCIR-D-19-02073 | A data driven approach for Decision-Making support of factory simulation solutions | |
Fei Yu, Christian Petersson Nielsen | ||
PROCIR-D-19-02088 | A Framework for Automatic Generation of Augmented Reality Maintenance & Repair Instructions based on Convolutional Neural Networks | |
Dimitris Mourtzis, John Angelopoulos, Nikolaos Panopoulos | ||
G.5 | SENSING, PROCESS MONITORING AND CONTROL | |
PROCIR-D-19-02153 | Determination of surface shape deviation by using force-controlled burnishing | |
Marco Posdzich, Rico Stoeckmann, Marco Witt, Matthias Putz | ||
PROCIR-D-19-02154 | Anomaly detection in formed sheet metals using convolutional autoencoders | |
Jens Heger, Gururaj Desai, Mazhar Zein El Abdine | ||
PROCIR-D-19-02159 | Naturalistic driving study for Automated Driver Assistance Systems (ADAS) evaluation in the Chinese, Swedish and American markets. | |
Julia Orlovska, Casper Wickman, Rikard Soderberg | ||
PROCIR-D-19-02165 | Ice Detection on Rotor Blades of Wind Turbines using RGB Images and Convolutional Neural Networks | |
Markus Kreutz, Abderrahim Ait Alla, Anatoli Eisenstadt, Michael Freitag, Klaus-Dieter Thoben | ||
PROCIR-D-19-02176 | Augmented reality smart glasses for operators in production: Survey of relevant categories for supporting operators | |
Oscar Danielsson, Magnus Holm, Anna Syberfeldt | ||
G.6 | BATTERY MANUFACTURING | |
PROCIR-D-19-02094 | Integration of Traceability Systems in Battery Production | |
Günther Riexinger, Joachim Peter Doppler, Michael Trierweiler, Christoph Haar, Anna Buss, David Ensling, Thomas Bauernhansl | ||
PROCIR-D-19-02164 | Automated assembly of Li-ion vehicle batteries: A feasibility study | |
Ryan D’Souza, John Patsavellas, Konstantinos Salonitis | ||
PROCIR-D-19-02273 | Flexible Production Concept of a Low-Cost Battery Pack Housing for Electric Vehicles | |
Günther Schuh, Georg Bergweiler, Falko Fiedler | ||
PROCIR-D-19-02279 | Design and evaluation of a material-adapted handling system for all-solid-state lithium-ion battery production | |
Arian Froehlich, Ruben Leithoff, Klaus Dröder | ||
PROCIR-D-19-02309 | Modeling of the Calendering Process for Lithium-Ion Batteries with DEM Simulation | |
David Schreiner, Gunther Reinhart | ||
Day 3: Friday, July 3, 2020 |
||
7-8am Chicago | 2-3pm Frankfurt | 8-9pm Beijing | ||
PARALLEL SESSIONS | ||
H.1 | MANUFACTURING SYSTEMS | |
PROCIR-D-19-02355 | Databased product adjustments during manufacturing based on agile production and digital representation in shipbuilding prefabrication | |
Konrad Jagusch, Jan Sender, Wilko Flügge, | ||
PROCIR-D-19-02356 | Approaching Dynamic and Individual Worker Information Systems | |
Severin Teubner, Gunther Reinhart | ||
PROCIR-D-19-02361 | Toward the development of a comprehensive Product-Service System (PSS) evaluation method | |
Takehiko Nakada, Mar’atus Sholihah, Yuya Mitake, Yoshiki Shimomura | ||
PROCIR-D-19-02388 | Beyond the profit motive: Environmentally conscious (re)design of supply chain structures | |
Judit Monostori | ||
PROCIR-D-19-02197 | Procedure Model for the Implementation of an Order Release Method | |
Uwe Dombrowski, Christian Ortmeier | ||
H.2 | FACTORIES & SYSTEMS | |
PROCIR-D-19-02022 | Designing decision-making authorities for smart factories | |
Julia Arlinghaus, Oliver Antons | ||
PROCIR-D-19-02026 | Towards living manufacturing systems | |
Laszlo Monostori, Jozsef Vancza | ||
PROCIR-D-19-02157 | Ultra-flexible Factories: An Approach to Manage Complexity | |
Jörg Siegert, Thilo Schlegel | ||
PROCIR-D-19-02158 | Semantic Structuring of Elements and Capabilities in Ultra-flexible Factories | |
Thomas Bauernhansl, Michael Weyrich, Liliana Zarco, Timo Müller, Thilo Schlegel, Jörg Siegert | ||
PROCIR-D-19-02289 | Concept for the comparison of intralogistics designs with real factory layout using augmented reality, SLAM and marker-based tracking | |
Anke Rohacz, Steffen Strassburger | ||
H.3 | MACHINE LEARNING | |
PROCIR-D-19-02376 | A Practical Training Approach in Learning Factories to Make Artificial Intelligence Tangible | |
Henning Oberc, Simon Fahle, Christopher Prinz, Bernd Kuhlenkötter | ||
PROCIR-D-19-02405 | Development of a New Machine Learning-based Informatics System for Product Health Monitoring | |
Moschos Papananias, BEng, Olusayo Obajemu, Thomas McLeay, Mahdi Mahfouf, Visakan Kadirkamanathan | ||
PROCIR-D-19-02411 | Improved Faster R-CNN algorithm for defect detection in powertrain assembly line | |
Liyun Xu, Boyu Li, Hong Mi | ||
PROCIR-D-19-02435 | Machine Learning Methods for Prediction of Changes in Material Flow Networks | |
Thorben Funke, Till Becker | ||
PROCIR-D-19-01906 | Big Data Curation for Analytics within the Cyber-Physical Manufacturing Metrology Model (CPM3) | |
Vidosav Majstorovic, Dragan Djurdjanovic, Srdjan Zivkovic, Ramin Sabbagh | ||
H.4 | PLANNING, SCHEDULING & MAINTENANCE | |
PROCIR-D-19-02129 | Definition of problem types for planning digitally supported problem-solving processes during production launch | |
Maximilian Meister, Moritz Hahn, Tobias Böing, Joachim Metternich | ||
PROCIR-D-19-02186 | A Framework for Adaptive Scheduling in Cellular Manufacturing Systems | |
Dimitris Mourtzis, Dimitris Tsakalos, John Angelopoulos, Nikolaos Panopoulos | ||
PROCIR-D-19-02190 | Integrated Disassembly and Assembly Model for Heavy Duty Equipment Maintenance | |
Kai Kang, Ray Y. Zhong | ||
PROCIR-D-19-02192 | Steel plate scheduling optimization in shipbuilding based on storage area partition | |
Liyun Xu, Zhongyu Shu, Hong Mi | ||
PROCIR-D-19-02204 | Energy aware scheduling in reconfigurable multiple path shop floors | |
Damien Lamy, Julia Schulz, Michael Zaeh | ||
H.5 | SENSING, PROCESS MONITORING AND CONTROL | |
PROCIR-D-19-02207 | Procedure and Validation of the Implementation of Automated Sensor Integration Kinematics in an LPBF System | |
Maximilian Florian Binder, Georg Schlick, Gunther Reinhart | ||
PROCIR-D-19-02251 | Development of a Monitoring System for Implementation of Industrial Digitalization and Automation using 143 Key Performance Indicators | |
Andreas Schumacher, Wilfried Sihn | ||
PROCIR-D-19-02293 | Online vision-based inspection system for thermoplastic hot plate welding in window frame manufacturing | |
Pablo Martinez, Mohamed Al-Hussein, Rafiq Ahmad | ||
PROCIR-D-19-02324 | Quality Prediction of Honed Bores with Machine Learning Based on Machining and Quality Data to Improve the Honing Process Control | |
Sven Klein, Sebastian Schorr, Dirk Bähre | ||
PROCIR-D-19-02325 | In-process Quality Control of Drilled and Reamed Bores using NC-Internal Signals and Machine Learning Method | |
Sebastian Schorr, Matthias Möller, Jörg Heib, Dirk Bähre | ||
H.6 | BATTERY MANUFACTURING/SYS+ | |
PROCIR-D-19-02350 | Application of Thin Lithium Foil for Direct Contact Prelithiation of Anodes within Lithium-Ion Battery Production | |
Benedikt Stumper, Gunther Reinhart, Andreas Mayr | ||
PROCIR-D-19-02409 | Tracking and Tracing for Data Mining Application in the Lithium-ion Battery Production | |
Jacob Carl Friedrich Wessel, Artem Turetskyy, Sebastian Thiede, Olaf Wojahn, Christoph Herrmann | ||
PROCIR-D-19-02412 | Data-driven cyber-physical System for Quality Gates in Lithium-ion Battery Cell Manufacturing | |
Artem Turetskyy, Jacob Carl Friederich Wessel, Sebastian Thiede, Christoph Herrmann | ||
ROCIR-D-19-02029R3 | Production planning in autonomous and matrix-structured assembly systems: Effects of similarity of precedence graphs on order release sequencing | |
Daniel Müller | ||
PROCIR-D-19-02121 | The Ethical Use of Human Data for Smart Manufacturing: An Analysis and Discussion | |
Harley Oliff, Ying Liu, Maneesh Kumar | ||
PROCIR-D-19-02250 | Objectification of human perception by a multisensory measurement system | |
Lars C. Gussen, Max Ellerich, Robert H. Schmitt, Nikola Viktorov | ||
Day 3: Friday, July 3, 2020 |
||
8-9am Chicago | 3-4pm Frankfurt | 9-10pm Beijing | ||
PARALLEL SESSIONS | ||
J.1 | MANUFACTURING SYSTEMS | |
PROCIR-D-19-02399 | Corporate Lean Programs: Practical Insights and Implications for Learning and Continuous Improvement | |
Daryl Powell, Paul Coughlan | ||
PROCIR-D-19-02431 | Approach to Value Stream Mapping for Make-To-Order Manufacturing | |
Devanshu Mudgal, Konstantinos Salonitis, Emanuele Pagone | ||
PROCIR-D-19-02439 | Development of a catalogue of criteria for the evaluation of the self-organization of flexible intralogistics systems | |
Jan Schuhmacher, Vera Hummel | ||
PROCIR-D-19-02441 | Can we Adopt the Toyota Kata for the (Re-)Design of Business Processes in the Complex Environment of a Manufacturing Company? | |
Felix Jakob Brandl, Gunther Reinhart | ||
PROCIR-D-19-02447 | Future Scenarios of Value Creation in Mechanical Engineering -Derivation of Recommendations for Action | |
Philipp Humbeck, Siegfried Mangold, Thomas Bauernhansl, | ||
J.2 | FACTORIES & SYSTEMS | |
PROCIR-D-19-02302 | A conceptual model for multi-agent communication applied on a Plug & Produce system | |
Mattias Bennulf, Fredrik Danielsson, Bo Svensson | ||
PROCIR-D-19-02351 | Description Model for the Assessment of Autonomous Production Stages | |
Angelika Styr, Simon Schumacher, Dennis Bauer, Dominik Lucke, Thomas Bauernhansl | ||
PROCIR-D-19-02407 | A model-based and software-assisted safety assessment concept for reconfigurable PnP-systems | |
Chee Hung Koo, Schröck, Marian Vorderer, Johannes Richter, Alexander Verl | ||
PROCIR-D-19-02414 | Design parameters for smart manufacturing innovation processes | |
Maria Stoettrup Schioenning Larsen, Astrid Heidemann Lassen | ||
PROCIR-D-19-02419 | Assessment of Smart Manufacturing Solutions based on extended Value Stream Mapping | |
Niels Lasse Martin, Antal Dér, Sebastian Thiede, Christoph Herrmann | ||
J.3 | CYBER-PHYSICAL SYSTEMS | |
PROCIR-D-19-02275 | Operating Digital Manufacturing in Industry 4.0: the role of advanced manufacturing technologies | |
Elias Ribeiro da Silva, Ana Carolina Shinohara, Christian Petersson Nielsen, Edson Pinheiro de Lima, Jannis Angelis | ||
PROCIR-D-19-02344 | Cyber-Manufacturing System Testbed for Adversarial Insider Manipulation | |
Jinwoo Song, Chunxi Wang, Charlelie Saudrais, Matthew Swanson, Emily Greaney, Young Moon | ||
PROCIR-D-19-02383 | Cyber-physical systems and production characteristics – classification and visualization of relationships | |
Benjamin Illmer, Michael Vielhaber | ||
PROCIR-D-19-02434 | Production planning for collaborating resources in cyber-physical production systems | |
Michaela Krä, Ludwig Vogt, Christian Härdtlein, Stefan Schiele, Johannes Schilp | ||
PROCIR-D-19-02462 | Skill Modeling in Cyber-Physical Production Systems for Process Monitoring | |
Clemens Gonnermann | ||
J.4 | PLANNING, SCHEDULING & MAINTENANCE | |
PROCIR-D-19-02240 | Design model for a value chain-oriented quality management in global tooling | |
Thomas Bergs, Marcel Prümmer, Christian Lürken, Kristian Arntz | ||
PROCIR-D-19-02252 | Identification of Unintended Effects Caused by Adaptations of Manufacturing Process Sequences for Safety-Critical Components | |
Thomas Bergs, Lennard Hermann, Jan Rey, Sebastian Barth | ||
PROCIR-D-19-02257 | Unsupervised Learning for Opportunistic Maintenance Optimization in Flexible Manufacturing Systems | |
Michael Wocker, Alexander Lindworsky, Jochen Deuse | ||
PROCIR-D-19-02259 | Digital assistance system for target date planning in the initiation phase of large-scale projects | |
Benjamin Illgen, Jan Sender, Wilko Flügge | ||
PROCIR-D-19-02270 | A performance measurement system for integrated production and maintenance planning | |
Martin Schreiber, Cornelius S.L. Schutte, Gunther Reinhart | ||
J.5 | SENSING, PROCESS MONITORING AND CONTROL | |
PROCIR-D-19-02408 | Hardware-in-the-Loop Simulation for a Dynamic Co-Simulation of Internet-of-Things-Components | |
Tobias Jung, Nasser Jazdi, Michael Weyrich | ||
PROCIR-D-19-02415 | Understanding light. A study on the perceived quality of car exterior lighting and interior illumination. | |
Kostas Stylidis, Lic. in Mech. Engineering, Anna Woxlin, Louise Siljefalk, Emelie Heimersson, Rikard Söderberg | ||
PROCIR-D-19-02433 | Combining multiple data sources and enriching the dataset using industrial edge devices | |
Stefan Dumss, Manfred Grafinger, Martin Hennig, Patrick Rosenberger | ||
PROCIR-D-19-02440 | Comparison of Time Series Clustering Algorithms for Machine State Detection | |
Martin Hennig, Manfred Grafinger, Detlef Gerhard, Stefan Dumss, Patrick Rosenberger | ||
Day 3: Friday, July 3, 2020 |
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9-10am Chicago | 4-5pm Frankfurt | 10-11pm Beijing | ||
CLOSING CEREMONY, BEST PAPER AWARD, and INTRODUCTION TO CIRP CMS 2021 |