دنبال کردن
Tobias Reggelin
عنوان
نقل شده توسط
نقل شده توسط
سال
A review on reinforcement learning algorithms and applications in supply chain management
B Rolf, I Jackson, M Müller, S Lang, T Reggelin, D Ivanov
International Journal of Production Research 61 (20), 7151-7179, 2023
1902023
Integration of Deep Reinforcement Learning and Discrete-Event Simulation for Real-Time Scheduling of a Flexible Job Shop Production
S Lang, F Behrendt, N Lanzerath, T Reggelin, M Müller
2020 Winter Simulation Conference (WSC), 3057-3068, 2020
812020
Assigning dispatching rules using a genetic algorithm to solve a hybrid flow shop scheduling problem
B Rolf, T Reggelin, A Nahhas, S Lang, M Müller
Procedia Manufacturing 42, 442-449, 2020
482020
Simulation and the Emergency Department Overcrowding Problem
A Nahhas, A Awaldi, T Reggelin
Procedia Engineering 178, 368-376, 2017
472017
Open-source discrete-event simulation software for applications in production and logistics: An alternative to commercial tools?
S Lang, T Reggelin, M Müller, A Nahhas
Procedia Computer Science 180, 978-987, 2021
462021
Mesoscopic supply chain simulation
T Hennies, T Reggelin, J Tolujew, PA Piccut
Journal of Computational Science 5 (3), 463-470, 2014
422014
NeuroEvolution of augmenting topologies for solving a two-stage hybrid flow shop scheduling problem: A comparison of different solution strategies
S Lang, T Reggelin, J Schmidt, M Müller, A Nahhas
Expert Systems with Applications 172, 114666, 2021
352021
Integrating Virtual Commissioning Based on High Level Emulation into Logistics Education
W Hofmann, S Langer, S Lang, T Reggelin
Procedia Engineering 178, 24-32, 2017
352017
A mesoscopic approach to modeling and simulation of logistics processes
T Reggelin, J Tolujew
Proceedings of the 2011 Winter Simulation Conference (WSC), 1508-1518, 2011
352011
The combination of discrete-event simulation and genetic algorithm for solving the stochastic multi-product inventory optimization problem
I Jackson, J Tolujevs, T Reggelin
Transport and Telecommunication Journal 19 (3), 233-243, 2018
342018
Simulation and Virtual Commissioning of Modules for a Plug-and-Play Conveying System
W Hofmann, JH Ulrich, S Lang, T Reggelin, J Tolujew
IFAC-PapersOnLine 51 (11), 649-654, 2018
262018
Mesoskopische Modellierung und Simulation logistischer Flusssysteme
T Reggelin
Magdeburg, Universität, Diss., 2011, 2011
262011
Integration of LiFi Technology in an Industry 4.0 Learning Factory
VD Mukku, S Lang, T Reggelin
Procedia Manufacturing 31, 232-238, 2019
252019
Simulation-based optimization for solving a hybrid flow shop scheduling problem
P Aurich, A Nahhas, T Reggelin, J Tolujew
Proceedings of the 2016 Winter Simulation Conference, 2809-2819, 2016
252016
A two-stage RNN-based deep reinforcement learning approach for solving the parallel machine scheduling problem with due dates and family setups
F Li, S Lang, B Hong, T Reggelin
Journal of Intelligent Manufacturing 35 (3), 1107-1140, 2024
242024
Towards a Modular, Decentralized and Digital Industry 4.0 Learning Factory
S Lang, T Reggelin, M Jobran, W Hofmann
2018 Sixth International Conference on Enterprise Systems (ES), 123-128, 2018
242018
A mesoscopic approach to the simulation of logistics systems
M Schenk, J Tolujew, T Reggelin
Advanced manufacturing and sustainable logistics, 15-25, 2010
232010
Modeling Production Scheduling Problems as Reinforcement Learning Environments based on Discrete-Event Simulation and OpenAI Gym
S Lang, M Kuetgens, P Reichardt, T Reggelin
IFAC-PapersOnLine 54 (1), 793-798, 2021
212021
Mesoscopic modeling and simulation of logistics networks
M Schenk, J Tolujew, T Reggelin
IFAC Proceedings Volumes 42 (4), 582-587, 2009
192009
A brief introduction to deploy Amazon Web Services for online discrete-event simulation
W Hofmann, S Lang, P Reichardt, T Reggelin
Procedia Computer Science 200, 386-393, 2022
162022
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20