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2020 – today
- 2024
[j5]Funing Li
, Sebastian Lang, Bingyuan Hong, Tobias Reggelin:
A two-stage RNN-based deep reinforcement learning approach for solving the parallel machine scheduling problem with due dates and family setups. J. Intell. Manuf. 35(3): 1107-1140 (2024)- [c25]Steffen Strassburger, Stefan Galka, Tobias Reggelin, Sebastian Lang:
Introduction to the Minitrack on Simulation Modeling and Digital Twins for Decision Making in the Age of Industry 4.0. HICSS 2024: 1647-1648 - [c24]Benjamin Rolf, Kayvan M. Lavassani, Sebastian Lang, Tobias Reggelin:
Optimizing Safety Stock Placement in Large Real-World Automotive Supply Networks Using the Guaranteed-Service Model. HICSS 2024: 1669-1678 - 2023
- [j4]Benjamin Rolf, Ilya Jackson, Marcel Müller, Sebastian Lang, Tobias Reggelin, Dmitry Ivanov:
A review on reinforcement learning algorithms and applications in supply chain management. Int. J. Prod. Res. 61(20): 7151-7179 (2023) - [c23]Steffen Strassburger, Sebastian Lang, Stefan Galka, Tobias Reggelin:
Introduction to the Minitrack on Simulation Modeling and Digital Twins for Decision Making in the Age of Industry 4.0. HICSS 2023: 1436-1437 - [c22]Marcel Müller, Tobias Reggelin, Hartmut Zadek, Lorena S. Reyes-Rubiano:
Multi-Agent Proximal Policy Optimization for a Deadlock Capable Transport System in a Simulation-Based Learning Environment. WSC 2023: 1818-1829 - 2022
- [j3]Tobias Reggelin, Sebastian Lang, Christian Schauf:
Mesoscopic discrete-rate-based simulation models for production and logistics planning. J. Simulation 16(5): 448-457 (2022) - [c21]Tobias Reggelin, Dmitry Ivanov, Sebastian Lang, Stefan Galka:
Introduction to the Minitrack on Simulation Modeling and Digital Twins for Decision Making in the Age of Industry 4.0. HICSS 2022: 1 - [c20]Benjamin Rolf, Tobias Reggelin, Sebastian Lang, Stefan Galka:
Developing a Decision Support System for Integrated Decision-Making in Purchasing and Scheduling under Lead Time Uncertainty. HICSS 2022: 1-10 - [c19]Marcel Müller, Tobias Reggelin, Iegor Kutsenko, Hartmut Zadek, Lorena S. Reyes-Rubiano:
Towards Deadlock Handling with Machine Learning in a Simulation-Based Learning Environment. WSC 2022: 1485-1496 - 2021
- [j2]Sebastian Lang, Tobias Reggelin, Johann Schmidt, Marcel Müller, Abdulrahman Nahhas:
NeuroEvolution of augmenting topologies for solving a two-stage hybrid flow shop scheduling problem: A comparison of different solution strategies. Expert Syst. Appl. 172: 114666 (2021) - [c18]Stefan Galka, Tobias Reggelin, Sebastian Lang, Dmitry Ivanov:
Introduction to the Minitrack on Modeling and Decision Making in Manufacturing and Logistics in the Age of Industry 4.0. HICSS 2021: 1-2 - [c17]Vasu Dev Mukku, Sebastian Lang, Tobias Reggelin, Paul Reichardt:
Design of a Li-Fi Transceiver for Distributed Factory Planning Applications. APMS (1) 2021: 188-197 - [c16]Wladimir Hofmann, Sebastian Lang, Paul Reichardt, Tobias Reggelin:
A brief introduction to deploy Amazon Web Services for online discrete-event simulation. ISM 2021: 386-393 - [c15]Falk T. Gerpott, Sebastian Lang, Tobias Reggelin, Hartmut Zadek, Poti Chaopaisarn, Sakgasem Ramingwong:
Integration of the A2C Algorithm for Production Scheduling in a Two-Stage Hybrid Flow Shop Environment. ISM 2021: 585-594 - [c14]Paul Reichardt, Wladimir Hofmann, Tobias Reggelin, Sebastian Lang:
From Logistics Process Models to Automated Integration Testing: Proof-of-Concept Using Open-Source Simulation Software. WSC 2021: 1-11 - 2020
- [c13]Sebastian Lang, Tobias Reggelin, Fabian Behrendt, Abdulrahman Nahhas:
Evolving Neural Networks to Solve a Two-Stage Hybrid Flow Shop Scheduling Problem with Family Setup Times. HICSS 2020: 1-10 - [c12]Paul Reichardt, Sebastian Lang, Tobias Reggelin:
Procedure model for the development and launch of intelligent assistance systems. ISM 2020: 968-977 - [c11]Sebastian Lang, Tobias Reggelin, Marcel Müller, Abdulrahman Nahhas:
Open-source discrete-event simulation software for applications in production and logistics: An alternative to commercial tools? ISM 2020: 978-987 - [c10]Marcel Müller, Jan Hendrik Ulrich, Tobias Reggelin, Sebastian Lang, Lorena S. Reyes-Rubiano:
Comparison of Deadlock Handling Strategies for Different Warehouse Layouts with an AGVS. WSC 2020: 1300-1311 - [c9]Benjamin Rolf, Tobias Reggelin, Abdulrahman Nahhas, Marcel Müller, Sebastian Lang:
Scheduling Jobs in a Two-Stage Hybrid Flow Shop with a Simulation-Based Genetic Algorithm and Standard Dispatching Rules. WSC 2020: 1584-1595 - [c8]Sebastian Lang, Fabian Behrendt, Nico Lanzerath, Tobias Reggelin, Marcel Müller:
Integration of Deep Reinforcement Learning and Discrete-Event Simulation for Real-Time Scheduling of a Flexible Job Shop Production. WSC 2020: 3057-3068
2010 – 2019
- 2019
- [c7]Marcel Müller, Stephan Schmidt, Tobias Reggelin:
Deadlock and Collision Handling for Automated Rail-Based Storage and Retrieval Units. WSC 2019: 1591-1601 - 2018
- [c6]Sebastian Lang, Tobias Reggelin, Motasem Jobran, Wladimir Hofmann:
Towards a Modular, Decentralized and Digital Industry 4.0 Learning Factory. ES 2018: 123-128 - [c5]Marcel Müller, Tobias Reggelin, Stephan Schmidt, David Weigert:
Simulation-based Planning and dimensioning of an Automatic Laundry Storage and Retrieval Unit with Dynamic Storage Location Sizes. WSC 2018: 2977-2988 - [c4]Juri Tolujew, Irina Yatskiv, Ilya Jackson, Tobias Reggelin:
Dynamic Model of the Passenger Flow on rail Baltica. WSC 2018: 3096-3107 - 2016
- [c3]Paul Aurich, Abdulrahman Nahhas, Tobias Reggelin, Juri Tolujew:
Simulation-based optimization for solving a hybrid flow shop scheduling problem. WSC 2016: 2809-2819 - 2014
- [j1]Til Hennies, Tobias Reggelin, Juri Tolujew, Pierre-Alain Piccut:
Mesoscopic supply chain simulation. J. Comput. Sci. 5(3): 463-470 (2014) - 2011
- [c2]Tobias Reggelin, Juri Tolujew:
A mesoscopic approach to modeling and simulation of logistics processes. WSC 2011: 1513-1523 - 2010
- [c1]Michael Schenk, Juri Tolujew, Tobias Reggelin:
A Mesoscopic Approach to the Simulation of Logistics Systems. Heinz Nixdorf Symposium 2010: 15-25
Coauthor Index
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last updated on 2024-08-02 20:23 CEST by the dblp team
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