Publikationen
2024
Optimizing safety stock placement in large real-world automotive supply networks using the Guaranteed-service Model
Rolf, Benjamin; Lavassani, Kayvan; Lang, Sebastian; Reggelin, Tobias
In: Proceedings of the 57th Annual Hawaii International Conference on System Sciences , 2024 - Honolulu, HI : Department of IT Management, Shidler College of Business, University of Hawaii ; Bui, Tung X., S. 1669-1678 [Konferenz: 57th Hawaii International Conference on System Sciences, Honolulu, Hawaii, January 3-6, 2024]
A review on unsupervised learning algorithms and applications in supply chain management
Rolf, Benjamin; Beier, Alexander; Jackson, Ilya; Müller, Marcel; Reggelin, Tobias; Stuckenschmidt, Heiner; Lang, Sebastian
In: International journal of production research - London [u.a.] : Taylor & Francis . - 2024, insges. 51 S. [Online first]
A transformer-based deep reinforcement learning approach for dynamic parallel machine scheduling problem with family setups
Li, Funing; Lang, Sebastian; Tian, Yuan; Hong, Bingyuan; Rolf, Benjamin; Noortwyck, Ruben; Schulz, Robert; Reggelin, Tobias
In: Journal of intelligent manufacturing - Dordrecht [u.a.] : Springer Science + Business Media B.V . - 2024, insges. 34 S. [Online first]
Resource-efficient Edge AI solution for predictive maintenance
Artiushenko, Viktor; Lang, Sebastian; Lerez, Christoph; Reggelin, Tobias; Hackert-Oschätzchen, Matthias
In: Procedia computer science - Amsterdam [u.a.] : Elsevier, Bd. 232 (2024), S. 348-357
2023
A scoping review on dynamic networks in supply chains
Rolf, Benjamin; Klementzki, Vanessa; Lang, Sebastian; Jackson, Ilya; Trojahn, Sebastian; Reggelin, Tobias
In: IFAC-PapersOnLine / Internationale Förderung für Automatische Lenkung - Frankfurt : Elsevier, Bd. 56 (2023), Heft 2, S. 203-214
Introduction to the minitrack “Simulation modeling and digital twins for decision making in the age of Industry 4.0"
Reggelin, Tobias; Galka, Stefan; Strassburger, Steffen; Lang, Sebastian
In: Proceedings of the 56th Annual Hawaii International Conference on System Sciences , 2023 - Honolulu, HI : Department of IT Management, Shidler College of Business, University of Hawaii ; Bui, Tung X., S. 1436-1437 [Konferenz: The 56th Hawaii International Conference on System Sciences, 2023]
Ereignisdiskrete Modellierung autonomer Transportfahrzeuge mittels Open-Source Software - Discrete-event modelling of autonomous transport vehicles using open-source software
Artiushenko, Viktor; Müller, Marcel; Reggelin, Tobias; Lang, Sebastian
In: Simulation in Produktion und Logistik 2023 / ASIM-Fachtagung Simulation in Produktion und Logistik , 2023 - Ilmenau : Universitätsverlag Ilmenau ; Bergmann, Sören *1979-*, S. 271-280 [Tagung: 20. ASIM Fachtagung Simulation in Produktion und Logistik, Ilmenau, 13-15. September 2023]
AI Engineering als interdisziplinäres Einführungsmodul zwischen Künstlicher Intelligenz und Ingenieurwesen
Lang, Sebastian; Siegert, Ingo; Artiushenko, Viktor; Schleiss, Johannes
In: Informatik 2023 - Berlin : Gesellschaft für Informatik e.V. ; Klein, Maike, S. 381-384 - (GI-Edition. Proceedings; volume P-337) [Tagung: Informatik 2023, Berlin, 26. - 29. September 2023]
Large-scale planning tool for mobility hubs - data requirements and open data availability
Biletska, Olga; Schulz, Tim; Reider, Richard; Assmann, Tom
In: Proceedings of the 18th International Conference on Location Based Services - Wien : reposiTUm . - 2023, S. 179-183 [Konferenz: 18th International Conference on Location Based Services, Ghent, Belgium, 20.-22. November 2023]
A two-stage RNN-based deep reinforcement learning approach for solving the parallel machine scheduling problem with due dates and family setups
Li, Funing; Lang, Sebastian; Hong, Bingyuan; Reggelin, Tobias
In: Journal of intelligent manufacturing - Dordrecht [u.a.] : Springer Science + Business Media B.V . - 2023, insges. 34 S.
Methoden des bestärkenden Lernens für die Produktionsablaufplanung
Lang, Sebastian
In: [Heidelberg]: Springer Vieweg, Dissertation Otto-von-Guericke-Universität Magdeburg 2023, XXXIII, 286 Seiten, ISBN: 978-3-658-41750-5 [Literaturverzeichnis: Seite 267-286][Literaturverzeichnis: Seite 267-286]
2022
Introduction to the minitrack “Simulation modeling and digital twins for decision making in the age of Industry 4.0”
Reggelin, Tobias; Galka, Stefan; Ivanov, Dmitry; Lang, Sebastian
In: Proceedings of the 55th Annual Hawaii International Conference on System Sciences , 2022 - Honolulu, HI : Department of IT Management, Shidler College of Business, University of Hawaii at Manoa ; Bui, Tung X., S. 1954 [Konferenz: The 55th Hawaii International Conference on System Sciences, 2022]
Using knowledge graphs and human-centric artificial intelligence for reconfigurable supply chains - a research framework
Rolf, Benjamin; Mebarki, Nasser; Lang, Sebastian; Reggelin, Tobias; Cardin, Olivier; Mouchère, Harold; Dolgui, Alexandre
In: IFAC-PapersOnLine / Internationale Förderung für Automatische Lenkung - Frankfurt : Elsevier, Bd. 55 (2022), Heft 10, S. 1693-1698 [Konferenz: 10th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2022, Nantes, France, 22-24 June 2022]
A brief introduction to deploy Amazon Web Services for online discrete-event simulation
Hofmann, Wladimir; Lang, Sebastian; Reichardt, Paul; Reggelin, Tobias
In: Procedia computer science - Amsterdam [u.a.] : Elsevier, Bd. 200 (2022), S. 386-393 [Part of special issue: 3rd International Conference on Industry 4.0 and Smart Manufacturing]
Integration of the A2C algorithm for production scheduling in a two-stage hybrid flow shop environment
Gerpott, Falk T.; Lang, Sebastian; Reggelin, Tobias; Zadek, Hartmut; Chaopaisarn, Poti; Ramingwong, Sakgasem
In: Procedia computer science - Amsterdam [u.a.] : Elsevier, Bd. 200 (2022), S. 585-594 [Part of special issue: 3rd International Conference on Industry 4.0 and Smart Manufacturing]
A review on reinforcement learning algorithms and applications in supply chain management
Rolf, Benjamin; Jackson, Ilya; Müller, Marcel; Lang, Sebastian; Reggelin, Tobias; Ivanov, Dmitry
In: International journal of production research - London [u.a.] : Taylor & Francis, Bd. 60 (2022), insges. 30 S. [Published online: 03. Nov. 2022]
Developing a decision support system for integrated decision-making in purchasing and scheduling under lead time uncertainty
Rolf, Benjamin; Reggelin, Tobias; Lang, Sebastian; Galka, Stefan
In: Proceedings of the 55th Annual Hawaii International Conference on System Sciences , 2022 - Honolulu, HI : Department of IT Management, Shidler College of Business, University of Hawaii at Manoa ; Bui, Tung X., S. 1964-1973 [Konferenz: 55th Hawaii International Conference on System Sciences, HICSS55, online, 2022]
2021
Simulationsmodell mit 3D-Animation zur schnellen Bewertung von Ablaufplänen in der Produktion - Simulation model with 3D animation for quick evaluation of production schedules
Rolf, Benjamin; Reggelin, Tobias; Lang, Sebastian; Müller, Marcel; Prehm, Johann
In: Simulation in Produktion und Logistik 2021 , 1. Auflage - Göttingen : Cuvillier Verlag ; Franke, Jörg *1964-*, S. 207-216 [Tagung: 19. ASIM-Fachtagung Simulation in Produktion und Logistik, Erlangen, 15. - 17. September 2021; Literaturangaben]
From logistics process models to automated integration testing - proof-of-concept using open-source simulation software
Reichardt, Paul; Hofmann, Wladimir; Reggelin, Tobias; Lang, Sebastian
In: IEEE Xplore digital library / Institute of Electrical and Electronics Engineers - New York, NY : IEEE . - 2021, insges. 11 S. [Konferenz: 2021 Winter Simulation Conference (WSC), Phoenix, AZ, 12-15. Dec. 2021]
Introduction to the minitrack on modeling and decision making in manufacturing and logistics in the age of industry 4.0
Reggelin, Tobias; Galka, Stefan; Lang, Sebastian; Ivanov, Dmitry
In: Hawaii International Conference on System Sciences 2021 , 2021 - Honolulu, HI : University of Hawai'i at Manoa, Hamilton Library, S. 1643-1644
Procedure model for the development and launch of intelligent assistance systems
Reichardt, Paul; Lang, Sebastian; Reggelin, Tobias
In: Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020) , 2020 - [Amsterdam u.a.] : Elsevier ; Longo, Francesco, Bd. 180 (2021), S. 968-977 [Konferenz: ISM 2020]
NeuroEvolution of augmenting topologies for solving a two-stage hybrid flow shop scheduling problem - a comparison of different solution strategies
Lang, Sebastian; Reggelin, Tobias; Schmidt, Johann; Müller, Marcel; Nahhas, Abdulrahman
In: Expert systems with applications - Amsterdam [u.a.] : Elsevier Science - Vol. 172 (2021), article 114666, insgesamt 19 Seiten
Open-source discrete-event simulation software for applications in production and logistics - an alternative to commercial tools?
Lang, Sebastian; Reggelin, Tobias; Müller, Marcel; Nahhas, Abdulrahman
In: Procedia computer science - Amsterdam [u.a.] : Elsevier, Bd. 180 (2021), S. 978-987 [Part of special issue: Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020)]
Modeling production scheduling problems as reinforcement learning environments based on discrete-event simulation and OpenAI Gym
Lang, Sebastian; Kuetgens, Maximilian; Reichardt, Paul; Reggelin, Tobias
In: IFAC-PapersOnLine / Internationale Förderung für Automatische Lenkung - Frankfurt : Elsevier, Bd. 54 (2021), Heft 1, S. 793-798 [Part of special issue: 17th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2021: Budapest, Hungary, 7-9 June 2021]
2020
Comparison of deadlock handling strategies for different warehouse layouts with an AGVS
Müller, Marcel; Ulrich, Jan Hendrik; Reggelin, Tobias; Lang, Sebastian; Reyes-Rubiano, Lorena Silvana
In: IEEE Xplore digital library / Institute of Electrical and Electronics Engineers - New York, NY : IEEE . - 2020, S. 1300-1311 [Konferenz: 2020 Winter Simulation Conference (WSC), first virtual Winter Simulation Conference December 14-18, 2020.]
Scheduling jobs in a two-stage hybrid flow shop with a simulation-based genetic algorithm and standard dispatching rules
Rolf, Benjamin; Reggelin, Tobias; Nahhas, Abdulrahman; Müller, Marcel; Lang, Sebastian
In: IEEE Xplore digital library / Institute of Electrical and Electronics Engineers - New York, NY : IEEE . - 2020, S. 1584-1595 [Konferenz: 2020 Winter Simulation Conference (WSC), first virtual Winter Simulation Conference December 14-18, 2020.]
Evolving neural networks to solve a two-stage hybrid flow shop scheduling problem with family setup times
Lang, Sebastian; Reggelin, Tobias; Behrendt, Fabian; Nahhas, Abdulrahman
In: Hawaii International Conference on System Sciences 2020 , 2020 - Honolulu, Hawaii : ScholarSpace, S. 1298-1307, 1 Online-Ressource (1,05 MB) [Konferenz: 53rd Hawaii International Conference on System Sciences 2020, Honolulu, Hawaii, 2020.01.06-10]
Transparency and training in manufacturing and logistics processes in times of industry 4.0 for Smes
Strubelt, Henning; Trojahn, Sebastian; Lang, Sebastian
In: IEEE Xplore digital library / Institute of Electrical and Electronics Engineers - New York, NY : IEEE . - 2019, S. 2013-2024 [Konferenz: 2019 Winter Simulation Conference, WSC, National Harbor, MD, USA, 8-11 December 2019]
Integration of deep reinforcement learning and discrete-event simulation for real-time scheduling of a flexible job shop production
Lanzerath, Nico; Lang, Sebastian; Behrendt, Fabian; Reggelin, Tobias; Müller, Marcel
In: IEEE Xplore digital library / Institute of Electrical and Electronics Engineers - New York, NY : IEEE . - 2020, S. 3057-3068 [Konferenz: 2020 Winter Simulation Conference (WSC), first virtual Winter Simulation Conference December 14-18, 2020.]
Impact assessment model for the implementation of cargo bike transshipment points in urban districts
Assmann, Tom; Lang, Sebastian; Müller, Florian; Schenk, Michael
In: Sustainability - Basel : MDPI - Volume 12 (2020), issue 10, article 4082, 19 Seiten
Mesoscopic discrete-rate-based simulation models for production and logistics planning
Reggelin, Tobias; Lang, Sebastian; Schauf, Christian
In: Journal of simulation - Abingdon : Taylor & Francis Group - Vol. 14 (2020), 4, insgesamt 10 Seiten
Assigning dispatching rules using a genetic algorithm to solve a hybrid flow shop scheduling problem
Rolf, Benjamin; Reggelin, Tobias; Nahhas, Abdulrahman; Lang, Sebastian; Müller, Marcel
In: Procedia manufacturing - Amsterdam [u.a.] : Elsevier, Bd. 42 (2020), S. 442-449 [Konferenz: International conference on Industry 4.0 and Smart Manufacturing (ISM 2019)]
2019
Towards learning- and knowledge-based methods of artificial intelligence for short-term operative planning tasks in production and logistics - research idea and framework
Lang, Sebastian; Schenk, Michael; Reggelin, Tobias
In: IFAC-PapersOnLine / Internationale Förderung für Automatische Lenkung - Frankfurt : Elsevier, Bd. 52 (2019), Heft 13, S. 2716-2721 [Part of special issue: 9th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2019: Berlin, Germany, 2830 August 2019]
Integration of LiFi technology in an Industry 4.0 learning factory
Mukku, Vasu Dev; Lang, Sebastian; Reggelin, Tobias
In: Procedia manufacturing - Amsterdam [u.a.] : Elsevier, Bd. 31 (2019), S. 232-238 [Part of special issue: Research. Experience. Education. 9th Conference on Learning Factories 2019 (CLF 2019), Braunschweig, Germany]
2018
Scheduling approach for the simulation of a sustainable resource supply chain
Strubelt, Henning; Trojahn, Sebastian; Lang, Sebastian; Nahhas, Abdulrahman
In: Logistics - Basel : MDPI AG, Bd. 2 (2018), Heft 3, S. 1-11
Toward adaptive manufacturing - scheduling problems in the context of Industry 4.0
Nahhas, Abdulrahman; Lang, Sebastian; Bosse, Sascha; Turowski, Klaus
In: 2018 Sixth International Conference on Enterprise Systems , 2018 - Piscataway, NJ : IEEE ; Papadopoulos, George A. *1960-*, S. 108-115 [Konferenz: 2018 Sixth International Conference on Enterprise Systems (ES), Limassol, Cyprus, 1-2 October 2018]
Towards a modular, decentralized and digital industry 4.0 learning factory
Lang, Sebastian; Regelin, Tobias; Motasem, Jobran; Hofmann, Wladimir
In: 2018 Sixth International Conference on Enterprise Systems , 2018 - Piscataway, NJ : IEEE, S. 123-128 [Konferenz: 2018 Sixth International Conference on Enterprise Systems (ES), Limassol, Cyprus, 1-2 October 2018]
Discussing the application potentials of Microsoft HoloLens-TM in production and logistics - a literature review and case study
Lang, Sebastian; Kota, Mohammed S. S. D.; Weigert, David
In: The 4th International Conference of the Virtual and Augmented Reality in Education (VARE 2018) - Rende, Italy, S. 188-197 [Konferenz: VARE 2018]
Simulation and virtual commissioning of modules for a plug-and-play conveying system
Hofmann, Wladimir; Ulrich, Jan Hendrik; Lang, Sebastian; Reggelin, Tobias; Tolujew, Juri
In: IFAC-PapersOnLine / Internationale Förderung für Automatische Lenkung - Frankfurt : Elsevier, Bd. 51 (2018), Heft 11, S. 649-654
Applying methods of artificial intelligence for optimization in production and logistics
Lang, Sebastian
In: Research and technology - step into the future - Riga : Transport and Telecommunication Institute, Bd. 13 (2018), Heft 2, S. 21-29 [Special issue: PhD seminar Sci-Bi: Digitalization in Logistics and Transport, 16 October 2018, Riga]
Applying methods of artificial intelligence for optimization in production and logistics
Lang, Sebastian
In: 11th International Doctoral Students Workshop on Logistics - June 19, 2018, Magdeburg , 2018 - Magdeburg : Institut für Logistik und Materialflusstechnik an der Otto-von-Guericke-Universität Magdeburg, S. 97-102 [Konferenz: 11th International Doctoral Students Workshop on Logistics, Magdeburg, 19.06.2018]
2017
Comparison of a microscopic discrete-event and a mesoscopic discrete-rate simulation model for planning a production line
Gleye, Florian; Reggelin, Tobias; Lang, Sebastian
In: The 29th European Modeling and Simulation Symposium (EMSS 2017) - Genova : DIME Universitá, S. 444-448 [Konferenz: EMSS 2017]
Forecast models and hierarchical combined discrete-rate/discrete-event simulation models for parcel service networks
Lang, Sebastian; Reggelin, Tobias; Manner-Romberg, Horst
In: The 19th International Conference on Harbor, Maritime and Multimodal Logistics Modelling and Simulation (HMS 2017) - Genova : DIME Università, S. 111-118 [Konferenz: HMS 2017]
Simulation-based training modules for independent training of employees in the automotive industry
Friedrichs, Alexander; Reggelin, Tobias; Lang, Sebastian; Wunder, Toralf
In: The 19th International Conference on Harbor, Maritime and Multimodal Logistics Modelling and Simulation (HMS 2017) - Genova : DIME Università, S. 125-130 [Konferenz: HMS 2017]
Mesoskopische Simulationsmodelle in der Produktions- und Logistikplanung
Reggelin, Tobias; Lang, Sebastian; Weigert, David; Schauf, Christian
In: Simulation in Produktion und Logistik 2017 / Fachtagung Simulation in Produktion und Logistik , 2017 - Kassel : Kassel University Press, S. 199-208
Application of discrete-rate based mesoscopic simulation models for production and logistics planning
Reggelin, Tobias; Schauf, Christian; Lang, Sebastian; Weigert, David
In: The 19th International Conference on Harbor, Maritime and Multimodal Logistics Modelling and Simulation (HMS 2017) - Genova : DIME Università, S. 141-147 [Konferenz: HMS 2017]
Mesoscopic simulation models for logistics planning tasks in the automotive industry
Lang, Sebastian; Reggeling, Tobias; Wunder, Toralf
In: Procedia engineering - Amsterdam [u.a.] : Elsevier, Bd. 178 (2017), S. 298-307 [Konferenz: RelStat-2016, 19.-22.10.2016, Riga, Latvia]
Integrating virtual commissioning based on high level emulation into logistics education
Hofmann, Wladimir; Langer, Sebastian; Lang, Sebastian; Reggelin, Tobias
In: Procedia engineering - Amsterdam [u.a.] : Elsevier, Bd. 178 (2017), S. 24-32 [Konferenz: RelStat-2016, 19.-22.10.2016, Riga, Latvia]
2016
Emulation als Teil eines Materialflusslabors
Langer, Sebastian; Hofmann, Wladimir; Lang, Sebastian
In: Logistik neu denken und gestalten - 21. Magdeburger Logistiktage : Tagungsband / Magdeburger Logistiktage "Logistik Neu Denken und Gestalten" , 2016 - Magdeburg : Fraunhofer-Institut für Fabrikbetrieb und -automatisierung IFF, S. 183-193 [Kongress: 21. Magdeburger Logistiktage "Logistik neu denken und gestalten", Magdeburg, 22. - 23. Juni, 2016]
Emulation as part of an integrated logistics learning environment
Langer, Sebastian; Hofmann, Wladimir; Lang, Sebastian; Reggelin, Tobias; Weigert, David
In: The 28th European Modeling & Simulation Symposium, EMSS 2016 - Genoa : DIPTEM, S. 134-140 [Kongress: 28th European Modeling & Simulation Symposium, EMSS 2016, Cyprus, 26-28 September, 2016]
Mesoscopic simulation for automotive industry applications
Lang, Sebastian; Reggelin, Tobias; Wunder, Toralf
In: The 16th International Conference Reliability and Statistics in Transportation and Communication, (RelStat'16) - Riga : Transport und Telecommunication Institute . - 2016, S. 582-590
Integrating virtual commissioning based on high level emulation into logistics education
Hofmann, Wladimir; Langer, Sebastian; Lang, Sebastian; Reggelin, Tobias
In: The 16th International Conference Reliability and Statistics in Transportation and Communication, (RelStat'16) - Riga : Transport und Telecommunication Institute . - 2016, S. 486-494
2015
Hierarchical mesoscopic simulation models of parcel service provider networks
Erichsen, Björn; Reggelin, Tobias; Lang, Sebastian; Manner-Romberg, Horst
In: The 17th International Conference on Harbor, Maritime and Multimodal Logistics Modelling and Simulation - DIME Università di Genova . - 2015, S. 73-78