Sebastian Lang

Orcid: 0000-0003-3397-1551

Affiliations:
  • Fraunhofer-Institut for Factory Operation and Automation, IFF Magdeburg, Germany
  • Otto-von-Guericke University Magdeburg, Germany (PhD 2023)


According to our database1, Sebastian Lang authored at least 24 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
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., March, 2024

Optimizing Safety Stock Placement in Large Real-World Automotive Supply Networks Using the Guaranteed-Service Model.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023
A review on reinforcement learning algorithms and applications in supply chain management.
Int. J. Prod. Res., October, 2023

Introduction to the Minitrack on Simulation Modeling and Digital Twins for Decision Making in the Age of Industry 4.0.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

AI Engineering als interdisziplinäres Einführungsmodul zwischen Künstlicher Intelligenz und Ingenieurwesen.
Proceedings of the 53. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2023, Designing Future, 2023

2022
Mesoscopic discrete-rate-based simulation models for production and logistics planning.
J. Simulation, 2022

Developing a Decision Support System for Integrated Decision-Making in Purchasing and Scheduling under Lead Time Uncertainty.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

Introduction to the Minitrack on Simulation Modeling and Digital Twins for Decision Making in the Age of Industry 4.0.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

2021
NeuroEvolution of augmenting topologies for solving a two-stage hybrid flow shop scheduling problem: A comparison of different solution strategies.
Expert Syst. Appl., 2021

From Logistics Process Models to Automated Integration Testing: Proof-of-Concept Using Open-Source Simulation Software.
Proceedings of the Winter Simulation Conference, 2021

A brief introduction to deploy Amazon Web Services for online discrete-event simulation.
Proceedings of the 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), Virtual Event / Upper Austria University of Applied Sciences - Hagenberg Campus, 2021

Integration of the A2C Algorithm for Production Scheduling in a Two-Stage Hybrid Flow Shop Environment.
Proceedings of the 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), Virtual Event / Upper Austria University of Applied Sciences - Hagenberg Campus, 2021

Design of a Li-Fi Transceiver for Distributed Factory Planning Applications.
Proceedings of the Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems, 2021

Introduction to the Minitrack on Modeling and Decision Making in Manufacturing and Logistics in the Age of Industry 4.0.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

2020
Scheduling Jobs in a Two-Stage Hybrid Flow Shop with a Simulation-Based Genetic Algorithm and Standard Dispatching Rules.
Proceedings of the Winter Simulation Conference, 2020

Comparison of Deadlock Handling Strategies for Different Warehouse Layouts with an AGVS.
Proceedings of the Winter Simulation Conference, 2020

Integration of Deep Reinforcement Learning and Discrete-Event Simulation for Real-Time Scheduling of a Flexible Job Shop Production.
Proceedings of the Winter Simulation Conference, 2020

Procedure model for the development and launch of intelligent assistance systems.
Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020), 2020

Open-source discrete-event simulation software for applications in production and logistics: An alternative to commercial tools?
Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020), 2020

Evolving Neural Networks to Solve a Two-Stage Hybrid Flow Shop Scheduling Problem with Family Setup Times.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

2019
Transparency and Training in Manufacturing and Logistics Processes in Times of Industry 4.0 for Smes.
Proceedings of the 2019 Winter Simulation Conference, 2019

2018
Toward Adaptive Manufacturing: Scheduling Problems in the Context of Industry 4.0.
Proceedings of the Sixth International Conference on Enterprise Systems, 2018

Towards a Modular, Decentralized and Digital Industry 4.0 Learning Factory.
Proceedings of the Sixth International Conference on Enterprise Systems, 2018

2004
AntSim: eine Simulationsumgebung zur Visualisierung emergenter Phänomene am Beispiel von Ameisenkolonien auf Futtersuche.
Proceedings of the Simulation und Visualisierung 2004 (SimVis 2004) 4-5 März 2004, 2004


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