A Mesoscopic Approach to the Simulation of Logistics Systems. - Michael Schenk; Juri Tolujew; Tobias Reggelin (Heinz Nixdorf Symposium, 2010)

A mesoscopic approach to modeling and simulation of logistics processes. - Tobias Reggelin; Juri Tolujew (WSC, 2011)

Mesoscopic supply chain simulation. - Til Hennies; Tobias Reggelin; Juri Tolujew; Pierre-Alain Piccut (J. Comput. Sci., 2014)

Simulation-based optimization for solving a hybrid flow shop scheduling problem. - Paul Aurich; Abdulrahman Nahhas; Tobias Reggelin; Juri Tolujew (WSC, 2016)

Towards a Modular, Decentralized and Digital Industry 4.0 Learning Factory. - Sebastian Lang 001; Tobias Reggelin; Motasem Jobran; Wladimir Hofmann (ES, 2018)

Simulation-based Planning and dimensioning of an Automatic Laundry Storage and Retrieval Unit with Dynamic Storage Location Sizes. - Marcel Müller; Tobias Reggelin; Stephan Schmidt; David Weigert (WSC, 2018)

Dynamic Model of the Passenger Flow on rail Baltica. - Juri Tolujew; Irina Yatskiv; Ilya Jackson; Tobias Reggelin (WSC, 2018)

Deadlock and Collision Handling for Automated Rail-Based Storage and Retrieval Units. - Marcel Müller; Stephan Schmidt; Tobias Reggelin (WSC, 2019)

Evolving Neural Networks to Solve a Two-Stage Hybrid Flow Shop Scheduling Problem with Family Setup Times. - Sebastian Lang 001; Tobias Reggelin; Fabian Behrendt; Abdulrahman Nahhas (HICSS, 2020)

Open-source discrete-event simulation software for applications in production and logistics: An alternative to commercial tools? - Sebastian Lang 001; Tobias Reggelin; Marcel Müller; Abdulrahman Nahhas (ISM, 2020)

Procedure model for the development and launch of intelligent assistance systems. - Paul Reichardt; Sebastian Lang 001; Tobias Reggelin (ISM, 2020)

Integration of Deep Reinforcement Learning and Discrete-Event Simulation for Real-Time Scheduling of a Flexible Job Shop Production. - Sebastian Lang 001; Fabian Behrendt; Nico Lanzerath; Tobias Reggelin; Marcel Müller (WSC, 2020)

Comparison of Deadlock Handling Strategies for Different Warehouse Layouts with an AGVS. - Marcel Müller; Jan Hendrik Ulrich; Tobias Reggelin; Sebastian Lang 001; Lorena S. Reyes-Rubiano (WSC, 2020)

Scheduling Jobs in a Two-Stage Hybrid Flow Shop with a Simulation-Based Genetic Algorithm and Standard Dispatching Rules. - Benjamin Rolf; Tobias Reggelin; Abdulrahman Nahhas; Marcel Müller; Sebastian Lang 001 (WSC, 2020)

Introduction to the Minitrack on Modeling and Decision Making in Manufacturing and Logistics in the Age of Industry 4.0. - Stefan Galka; Tobias Reggelin; Sebastian Lang 001; Dmitry Ivanov (HICSS, 2021)

Design of a Li-Fi Transceiver for Distributed Factory Planning Applications. - Vasu Dev Mukku; Sebastian Lang 001; Tobias Reggelin; Paul Reichardt (APMS (1), 2021)

Integration of the A2C Algorithm for Production Scheduling in a Two-Stage Hybrid Flow Shop Environment. - Falk T. Gerpott; Sebastian Lang 001; Tobias Reggelin; Hartmut Zadek; Poti Chaopaisarn; Sakgasem Ramingwong (ISM, 2021)

A brief introduction to deploy Amazon Web Services for online discrete-event simulation. - Wladimir Hofmann; Sebastian Lang 001; Paul Reichardt; Tobias Reggelin (ISM, 2021)

From Logistics Process Models to Automated Integration Testing: Proof-of-Concept Using Open-Source Simulation Software. - Paul Reichardt; Wladimir Hofmann; Tobias Reggelin; Sebastian Lang 001 (WSC, 2021)

NeuroEvolution of augmenting topologies for solving a two-stage hybrid flow shop scheduling problem: A comparison of different solution strategies. - Sebastian Lang 001; Tobias Reggelin; Johann Schmidt; Marcel Müller; Abdulrahman Nahhas (Expert Syst. Appl., 2021)

Introduction to the Minitrack on Simulation Modeling and Digital Twins for Decision Making in the Age of Industry 4.0. - Tobias Reggelin; Dmitry Ivanov; Sebastian Lang 001; Stefan Galka (HICSS, 2022)

Developing a Decision Support System for Integrated Decision-Making in Purchasing and Scheduling under Lead Time Uncertainty. - Benjamin Rolf; Tobias Reggelin; Sebastian Lang 001; Stefan Galka (HICSS, 2022)

Towards Deadlock Handling with Machine Learning in a Simulation-Based Learning Environment. - Marcel Müller; Tobias Reggelin; Iegor Kutsenko; Hartmut Zadek; Lorena S. Reyes-Rubiano (WSC, 2022)

Mesoscopic discrete-rate-based simulation models for production and logistics planning. - Tobias Reggelin; Sebastian Lang 001; Christian Schauf (J. Simulation, 2022)

Introduction to the Minitrack on Simulation Modeling and Digital Twins for Decision Making in the Age of Industry 4.0. - Steffen Strassburger; Sebastian Lang 001; Stefan Galka; Tobias Reggelin (HICSS, 2023)

Resource-efficient Edge AI solution for predictive maintenance. - Viktor Artiushenko; Sebastian Lang 001; Christoph Lerez; Tobias Reggelin; Matthias Hackert-Oschätzchen (ISM, 2023)

Multi-Agent Proximal Policy Optimization for a Deadlock Capable Transport System in a Simulation-Based Learning Environment. - Marcel Müller; Tobias Reggelin; Hartmut Zadek; Lorena S. Reyes-Rubiano (WSC, 2023)

A review on reinforcement learning algorithms and applications in supply chain management. - Benjamin Rolf; Ilya Jackson; Marcel Müller; Sebastian Lang 001; Tobias Reggelin; Dmitry Ivanov (Int. J. Prod. Res., 2023)

Optimizing Safety Stock Placement in Large Real-World Automotive Supply Networks Using the Guaranteed-Service Model. - Benjamin Rolf; Kayvan M. Lavassani; Sebastian Lang 001; Tobias Reggelin (HICSS, 2024)

Advancing robotic systems with Ensemble and Modular Deep Learning: research idea and framework. - Viktor Artiushenko; Richard Reider; Tobias Reggelin; Sebastian Lang 001 (ISM, 2024)

Design of a Data Integration and Exchange Service for Touristic City and Logistics Planning in Şanlıurfa, Turkey. - Richard Reider; Vasu Dev Mukku; Marcel Müller; Tobias Reggelin; Fred Baris Ernst; Sebastian Lang 001 (ISM, 2024)

A two-stage RNN-based deep reinforcement learning approach for solving the parallel machine scheduling problem with due dates and family setups. - Funing Li; Sebastian Lang 001; Bingyuan Hong; Tobias Reggelin (J. Intell. Manuf., 2024)

An LSTM network-based genetic algorithm for integrated procurement and scheduling optimisation. - Alexander Bubak; Benjamin Rolf; Tobias Reggelin; Sebastian Lang 001; Heiner Stuckenschmidt (Int. J. Prod. Res., 2025)

A review on unsupervised learning algorithms and applications in supply chain management. - Benjamin Rolf; Alexander Beier; Ilya Jackson; Marcel Müller; Tobias Reggelin; Heiner Stuckenschmidt; Sebastian Lang 001 (Int. J. Prod. Res., 2025)