1. //
  2. Start
  3. //
  4. Publications
  5. //
  6. Dynamic Lot Size Optimization with Reinf...
  7. //

Dynamic Lot Size Optimization with Reinforcement Learning

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Authors

Production planning and control has a great influence on the economic efficiency and logistical performance of a company. In this context, this article gives an insight into the use of simulation as a virtual model of a filling machine in the process industry. Furthermore, it shows the possibilities of a reinforcement learning (RL) approach for dynamic lot sizing. The contribution indicates a possible implementation in an ERP system and shows how a decision support tool can support the planner to save up to 5% of costs compared to a human planner and a heuristic approach proposed by Groff.

Original languageEnglish
Title of host publicationDynamics in Logistics : Proceedings of the 8th International Conference LDIC 2022, Bremen, Germany
EditorsMichael Freitag, Aseem Kinra, Hebert Kotzab, Nicole Megow
Number of pages10
Place of PublicationCham
PublisherSpringer Science and Business Media B.V.
Publication date01.01.2022
Pages376-385
ISBN (print)978-3-031-05358-0
ISBN (electronic)978-3-031-05359-7
DOIs
Publication statusPublished - 01.01.2022
EventInternational Conference on Dynamics in Logistics - LDIC 2022 - Universität Bremen, Bremen, Germany
Duration: 23.02.2022 → 25.02.2022
Conference number: 8
https://www.ldic-conference.org/about-ldic

    Research areas

  • Lot sizing, Reinforcement learning, Simulation
  • Engineering

Other publications by the same author(s)

Einsatz von bestärkendem Lernen in der Reihenfolgeplanung mit dem Ziel der platzeffizienten Produktion

Müller, K. & Heger, J., 2025, Simulation in Produktion und Logistik 2025. Rank, S., Kühn, M. & Schmidt, T. (eds.). Dresden: Dresden University of Technology, 10 p. 40. (ASIM-Mitteilung; no. 194)(Tagungsband ASIM-Fachtagung Simulation in Produktion und Logistik; vol. 21).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Enhancing SME Production Efficiency: A Case Study on Autonomous Manufacturing Systems

Prüfer, O. C. & Heger, J., 2025, In: Procedia CIRP. 134, p. 313-318 6 p.

Research output: Journal contributions › Conference article in journal › Research › peer-review

Manufacturing of irregular shapes through force control in incremental sheet forming with active medium

Thiery, S., Zein El Abdine, M., Heger, J. & Ben Khalifa, N., 01.05.2025, In: Advances in Industrial and Manufacturing Engineering. 10, 11 p., 100157.

Research output: Journal contributions › Journal articles › Research › peer-review

Optimizing dataset design for data-driven models of the deep drawing process using active transfer learning

Heinzel, C., Wollschläger, L., Nurmatov, B.-M., Heger, J. & Khalifa, N. B., 2025, In: Journal of Physics: Conference Series. 3104, 1, 11 p., 012064.

Research output: Journal contributions › Conference article in journal › Research › peer-review

Rethink Textile Production - Developing sustainable concepts for textile industry using production simulation

Müller, K., Guerne, M. G., Block, B.-M. & Heger, J., 04.2025, 14th International Materials Education Symposium: Clare College, University of Cambridge Cambridge, UK April 10-11, 2025. Canonsburg: University of Cambridge, p. 27 1 p. ( Materials Education Symposium).

Research output: Contributions to collected editions/works › Published abstract in conference proceedings › Transfer › peer-review

DOI

Recently viewed

Activities

  1. Taking ICALL to task: Blending form-focus & task-based foreign language learning
  2. I Am Behind the Screen: Understanding the Invisible Work of Content Moderators on Digital Platforms
  3. A Garbage Can Model of Institutional Innovation: Field Transformation through Issue Framing Processes in the Interstitial Space, where Problems and Solutions Meet
  4. Drafts in Action. Concepts and Practices of Artistic Intervention
  5. Quality of reading instruction in language classrooms: Subject specific analysis of teaching quality
  6. Cluster-based Extraction of Finite-time Coherent Sets from Trajectory Data
  7. Data-efficient Pattern Detection in Elite Soccer
  8. Orientation workshop on "historical research projects using geographical data and GIS technology" - 2013
  9. Institutionalizing transdisciplinary learning on different levels
  10. Nordic Seminar on Computational Mechanics - NSCM 2016
  11. Independent local lists and local parties - Challengers from Bottom Up? - 2009

Publications

  1. Latent structure perceptron with feature induction for unrestricted coreference resolution
  2. Design and Control of an Inductive Power Transmission System with AC-AC Converter for a Constant Output Current
  3. A Control Scheme for PMSMs using Model Predictive Control and a Feedforward Action in the Presence of Saturated Inputs
  4. Constructs for Assessing Integrated Reports-Testing the Predictive Validity of a Taxonomy for Organization Size, Industry, and Performance
  5. GPU-accelerated meshfree computational framework for modeling the friction surfacing process
  6. NH4+ ad-/desorption in sequencing batch reactors
  7. Dispatching rule selection with Gaussian processes
  8. Unidimensional and Multidimensional Methods for Recurrence Quantification Analysis with crqa
  9. Modelling tasks—The relation between linguistic skills, intra-mathematical skills, and context-related prior knowledge
  10. Methodologies for noise and gross error detection using univariate signal-based approaches in industrial applications
  11. Optimizing sampling of flying insects using a modified window trap
  12. A New Framework for Production Planning and Control to Support the Positioning in Fields of Tension Created by Opposing Logistic Objectives
  13. Finding Similar Movements in Positional Data Streams
  14. A change of values is in the air
  15. Exploration strategies, performance, and error consequences when learning a complex computer task
  16. Integrating errors into the training process
  17. Parking space management through deep learning – an approach for automated, low-cost and scalable real-time detection of parking space occupancy
  18. Modified dynamic programming approach for offline segmentation of long hydrometeorological time series
  19. The Use of Genetic Algorithm for PID Controller Auto-Tuning in ARM CORTEX M4 Platform
  20. Framework for the Parallelized Development of Estimation Tasks for Length, Area, Capacity and Volume in Primary School - A Pilot Study
  21. Modeling Effective and Ineffective Knowledge Communication and Learning Discourses in CSCL with Hidden Markov Models
  22. Empowering materials processing and performance from data and AI
  23. Volume of Imbalance Container Prediction using Kalman Filter and Long Short-Term Memory
  24. Changes of Perception
  25. Changing the Administration from within:
  26. Using cross-recurrence quantification analysis to compute similarity measures for time series of unequal length with applications to sleep stage analysis
  27. Contributions of declarative and procedural memory to accuracy and automatization during second language practice
  28. Stepwise-based optimizing approaches for arrangements of loudspeaker in multi-zone sound field reproduction
  29. A fast sequential injection analysis system for the simultaneous determination of ammonia and phosphate
  30. On the Power and Performance of a Doubly Latent Residual Approach to Explain Latent Specific Factors in Multilevel-Bifactor-(S-1) Models
  31. The role of learners’ memory in app-based language instruction: the case of Duolingo.
  32. A geometric approach for controlling an electromagnetic actuator with the help of a linear Model Predictive Control
  33. Toward Application and Implementation of in Silico Tools and Workflows within Benign by Design Approaches
  34. Using learning protocols for knowledge acquisition and problem solving with individual and group incentives
  35. Hierarchical trait filtering at different spatial scales determines beetle assemblages in deadwood