Tobias Reggelin

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 27

Top Topics

Scheduling Problem

Reinforcement Learning

Decision Making

Top Venues

Int. J. Prod. Res.

Publications

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) (2024)
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)
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)
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) (2023)
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)
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)
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)
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)
Tobias Reggelin, Sebastian Lang, Christian Schauf
Mesoscopic discrete-rate-based simulation models for production and logistics planning. J. Simulation 16 (5) (2022)
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)
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)
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 (2021)
Wladimir Hofmann, Sebastian Lang, Paul Reichardt, Tobias Reggelin
A brief introduction to deploy Amazon Web Services for online discrete-event simulation. ISM (2021)
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)
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)
Vasu Dev Mukku, Sebastian Lang, Tobias Reggelin, Paul Reichardt
Design of a Li-Fi Transceiver for Distributed Factory Planning Applications. APMS (1) (2021)
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)
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)
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)
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)
Paul Reichardt, Sebastian Lang, Tobias Reggelin
Procedure model for the development and launch of intelligent assistance systems. ISM (2020)
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)
Marcel Müller, Stephan Schmidt, Tobias Reggelin
Deadlock and Collision Handling for Automated Rail-Based Storage and Retrieval Units. WSC (2019)
Juri Tolujew, Irina Yatskiv, Ilya Jackson, Tobias Reggelin
Dynamic Model of the Passenger Flow on rail Baltica. WSC (2018)
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)
Sebastian Lang, Tobias Reggelin, Motasem Jobran, Wladimir Hofmann
Towards a Modular, Decentralized and Digital Industry 4.0 Learning Factory. ES (2018)
Paul Aurich, Abdulrahman Nahhas, Tobias Reggelin, Juri Tolujew
Simulation-based optimization for solving a hybrid flow shop scheduling problem. WSC (2016)
Til Hennies, Tobias Reggelin, Juri Tolujew, Pierre-Alain Piccut
Mesoscopic supply chain simulation. J. Comput. Sci. 5 (3) (2014)
Tobias Reggelin, Juri Tolujew
A mesoscopic approach to modeling and simulation of logistics processes. WSC (2011)
Michael Schenk, Juri Tolujew, Tobias Reggelin
A Mesoscopic Approach to the Simulation of Logistics Systems. Heinz Nixdorf Symposium (2010)