1. //
  2. Start
  3. //
  4. Publikationen
  5. //
  6. A genetic algorithm for a self-learning ...
  7. //

A genetic algorithm for a self-learning parameterization of an aerodynamic part feeding system for high-speed assembly

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Authors

The aerodynamic feeding technology developed at the IFA allows feeding rates up to 800 parts per minute while maintaining high reliability and variant flexibility. The machine's setup procedure requires the adaptation of only four machine parameters. Currently, optimal parameter configurations need to be identified manually. This task is greatly time-consuming and requires a high level of expertise. Prospectively, the machine should utilize an algorithm that autonomously identifies optimal parameter configurations for new workpieces to realize fast setup procedures. This paper presents a genetic algorithm for a self-learning feeding system that has been validated in comprehensive simulation studies.

OriginalspracheEnglisch
ZeitschriftCIRP Annals - Manufacturing Technology
Jahrgang64
Ausgabenummer1
Seiten (von - bis)5-8
Anzahl der Seiten4
ISSN0007-8506
DOIs
PublikationsstatusErschienen - 2015
Extern publiziertJa

In der gleichen Zeitschrift

Dynamic pricing of product and delivery time in multi-variant production using an actor critic reinforcement learning

Stamer, F. & Lanza, G., 01.2023, in: CIRP Annals. 72, 1, S. 405-408 4 S.

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

New concepts of extrusion dies to reduce the anisotropy of extruded profiles by means of additive manufacturing

Khalifa, N. B., Isakovic, J. & Bohlen, J., 2021, in: CIRP Annals. 70, 1, S. 231-234 4 S.

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Incremental sheet forming with active medium

Ben Khalifa, N. & Thiery, S., 2019, in: CIRP Annals - Manufacturing Technology. 68, 1, S. 313-316 4 S.

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Model-based logistic controlling of converging material flows

Nyhuis, P., Beck, S. & Schmidt, M., 01.01.2013, in: CIRP Annals - Manufacturing Technology. 62, 1, S. 431-434 4 S.

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Reduction of capital tie up for assembly processes

Nyhuis, P., Schmidt, M. & Wriggers, F. S., 01.01.2008, in: CIRP Annals - Manufacturing Technology. 57, 1, S. 481-484 4 S.

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Weitere Publikationen dieser Person(en)

Field-Based Assessment of Key Influence Factors for Throughput Time Prediction in Job Shop Manufacturing

Reinhold, J., Rokoss, A. & Schmidt, M., 2026, Advances in Production Management Systems. Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond - 44th IFIP WG 5.7 International Conference, APMS 2025, Proceedings. Mizuyama, H., Morinaga, E., Kaihara, T., Nonaka, T., von Cieminski, G. & Romero, D. (Hrsg.). Springer Science and Business Media Deutschland, S. 201-215 15 S. (IFIP Advances in Information and Communication Technology; Band 769 IFIPAICT).

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet

Implementierung von Produktrückführungsprozessen in bestehende Produktionsabläufe: Herausforderungen und Anforderungen

Sandner, S., Nübel, M., Schulz, J., Metternich, J. & Schmidt, M., 20.06.2025, in: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb. 120, 6, S. 397-403 7 S.

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Machine Learning For Determining Planned Order Lead Times In Job Shop Production: A Systematic Review Of Input Factors And Applied Methods

Wolter, F., Rokoss, A. & Schmidt, M., 2025, Conference on Production Systems and Logistics: University of San Ignacio de Loyola Lima, Peru, 18th – 21th March 2025, Proceedings. Herberger, D. & Hübner, M. (Hrsg.). Offenburg: publish-Ing., S. 374-384 11 S. 32. (Proceedings of the ... Conference on Production Systems and Logistics; Nr. 7).

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet

Understanding Resulting Interdependencies Within Production Planning And Control In Hybrid Manufacturing/Remanufacturing Systems

Schulz, J., Hofmann, H., Rokoss, A. & Schmidt, M., 05.2025, Proceedings of the Conference on Production Systems and Logistics: CPSL 2025: 18th – 21th March 2025, University of San Ignacio de Loyola Lima, Peru. Herberger, D. & Hübner, M. (Hrsg.). Offenburg: publish-Ing., S. 114 - 126 13 S. (Proceedings of the ... Conference on Production Systems and Logistics; Band 7).

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet

Analysis of the relevance of models, influencing factors and the point in time of the forecast on the prediction quality in order-related delivery time determination using machine learning

Rokoss, A., Popkes, L. & Schmidt, M., 2024, Proceedings of the CPSL 2024. Herberger, D. & Hübner, M. (Hrsg.). Hannover: publish-Ing., S. 415-431 17 S. (Proceedings of the Conference on Production Systems and Logistics; Band 2024).

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet

DOI

Zuletzt angesehen

Aktivitäten

  1. Probabilistic and discrete methods for the computational study of coherent behavior in flows
  2. Learner Performance of Language Learning Tasks in Web-Based Environments
  3. SIAM Conference on Applications of Dynamical Systems - DS 2023
  4. A New Approach for Optimal Solving of Cyclic and Non-Cyclic Bus Driver Rostering Problems
  5. Active Performance in Research and Development: The Value of Contextual Fit
  6. VISU: Vagueness, Incompleteness, Subjectivity, and Uncertainty in Provenance Language Processing and Linked Open Data Modelling
  7. A Coding Scheme to Analyse Global Text Processing in Computer Supported Collaborative Learning: What Eye Movements Can Tell Us
  8. Improving Production Scheduling with Machine Learning
  9. Feedback in the context of digital media: The effectiveness of a mathematics teaching-learning platform and its usage and perception by students

Publikationen

  1. Binary Random Nets I
  2. Modeling Effective and Ineffective Knowledge Communication and Learning Discourses in CSCL with Hidden Markov Models
  3. Development of a Didactic Graphical Simulation Interface on MATLAB for Systems Control
  4. Modeling and simulation of deformation behavior, orientation gradient development and heterogeneous hardening in thin sheets with coarse texture
  5. Towards a Dynamic Interpretation of Subjective and Objective Values
  6. Proceedings of the SeMantic Answer Type and Relation Prediction Task at ISWC 2021 Semantic Web Challenge (SMART2021)
  7. Analysis of priority rule-based scheduling in dual-resource-constrained shop-floor scenarios
  8. Using haar wavelets for fault detection in technical processes
  9. Adaptive and Dynamic Feedback Loops between Production System and Production Network based on the Asset Administration Shell
  10. A sufficient asymptotic stability condition in generalised model predictive control to avoid input saturation
  11. Evaluation of Time/Phase Parameters in Frequency Measurements for Inertial Navigation Systems
  12. The Scalable Question Answering Over Linked Data (SQA) Challenge 2018
  13. Application of non-convex rate dependent gradient plasticity to the modeling and simulation of inelastic microstructure development and inhomogeneous material behavior
  14. Expertise in research integration and implementation for tackling complex problems
  15. Machine Learning and Knowledge Discovery in Databases
  16. Building a process layer for business applications using the blackboard pattern
  17. Neural network-based adaptive fault-tolerant control for strict-feedback nonlinear systems with input dead zone and saturation
  18. N3 - A collection of datasets for named entity recognition and disambiguation in the NLP interchange format
  19. Comparing the Sensitivity of Social Networks, Web Graphs, and Random Graphs with Respect to Vertex Removal
  20. Optimal trajectory generation using MPC in robotino and its implementation with ROS system
  21. Paraphrasing Method for Controlling a Robotic Arm Using a Large Language Model
  22. Best Practices in AI and Data Science Models Evaluation
  23. Anomaly detection in formed sheet metals using convolutional autoencoders
  24. A Multilevel CFA-MTMM Model for Nested Structurally Different Methods
  25. Anatomy of Haar Wavelet Filter and Its Implementation for Signal Processing
  26. Perfect anti-windup in output tracking scheme with preaction
  27. Semantic Parsing for Knowledge Graph Question Answering with Large Language Models
  28. Reading and Calculating in Word Problem Solving
  29. Selection and Recognition of Statistically Defined Signals in Learning Systems
  30. Linux-based Embedded System for Wavelet Denoising and Monitoring of sEMG Signals using an Axiomatic Seminorm
  31. 'SPREAD THE APP, NOT THE VIRUS’ – AN EXTENSIVE SEM-APPROACH TO UNDERSTAND PANDEMIC TRACING APP USAGE IN GERMANY
  32. Age-related differences in processing visual device and task characteristics when using technical devices
  33. Enhancing Performance of Level System Modeling with Pseudo-Random Signals
  34. Neural Combinatorial Optimization on Heterogeneous Graphs
  35. Transformer with Tree-order Encoding for Neural Program Generation