Sebastian Lang

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 26

Top Venues

HICSS

WSC

ISM

Bielefeld University, Germany (PHD)

Education History

Bielefeld University, Germany

PHD

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)
Sebastian Lang, Ingo Siegert, Viktor Artiushenko, Johannes Schleiss
AI Engineering als interdisziplinäres Einführungsmodul zwischen Künstlicher Intelligenz und Ingenieurwesen. GI-Jahrestagung (2023)
Hyung-Joon Jeon, Sebastian Lang, Christian Vogel, Roland Behrens
An Integrated Real-time Monocular Human Pose & Shape Estimation Pipeline for Edge Devices. ROBIO (2023)
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)
Henning Strubelt, Sebastian Trojahn, Sebastian Lang
Transparency and Training in Manufacturing and Logistics Processes in Times of Industry 4.0 for Smes. WSC (2019)
Sebastian Lang, Tobias Reggelin, Motasem Jobran, Wladimir Hofmann
Towards a Modular, Decentralized and Digital Industry 4.0 Learning Factory. ES (2018)
Abdulrahman Nahhas, Sebastian Lang, Sascha Bosse, Klaus Turowski
Toward Adaptive Manufacturing: Scheduling Problems in the Context of Industry 4.0. ES (2018)
Johannes Stählin, Sebastian Lang, Fabian Kajzar, Christian Zirpins
Consumer-Driven API Testing with Performance Contracts. ESOCC Workshops (2016)
Rainer Oechsle, Ralph Weires, Sebastian Lang
AntSim: eine Simulationsumgebung zur Visualisierung emergenter Phänomene am Beispiel von Ameisenkolonien auf Futtersuche. SimVis (2004)
Sebastian Lang, Marcus Kleinehagenbrock, Sascha Hohenner, Jannik Fritsch, Gernot A. Fink, Gerhard Sagerer
Providing the basis for human-robot-interaction: a multi-modal attention system for a mobile robot. ICMI (2003)
Jannik Fritsch, Marcus Kleinehagenbrock, Sebastian Lang, Thomas Plötz, Gernot A. Fink, Gerhard Sagerer
Multi-modal anchoring for human-robot interaction. Robotics Auton. Syst. 43 (2-3) (2003)

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Publication Activity (10 Years)

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Sebastian Lang