1. Veröffentlichungen

Jahresberichte der Graduate School of Logistics


Wissenschaftliche Publikationen und Konferenzvorträge.

Hier finden Sie eine Auflistung der wissenschaftlichen Publikationen und Konferenzvorträge unserer Stipendiaten und Alumnis ab 2016.


Christina Bredebach: Is Sustainable Maintenance A Support- Or Standalone Function? A Definition, CONFERENCE ON PRODUCTION SYSTEMS AND LOGISTICS CPSL 2023, 4th Conference on Production Systems and Logistics, 2023.


Nicolas, F.N.P., Hellingrath, B., Thomé, A.M.T. & Scavarda, L.F. (n.V.). Business Analytics Meets S&OP.
Tobias Rösner, Christina Bredebach: Integrating the United Nations sustainable development goals into organizational strategy: A sustainability balanced scorecard approach using ANP and TOPSIS, Journal of Sustainability Outreach, Vol 3 (1): Pages 1-18 (2022), DOI 10.37357/1068/jso/3.1.01, ISSN: 2435-7243.
MANUFACTURING? – A SCOPING LITERATURE REVIEW, Proceedings of the ASME 2022 17th International Manufacturing Science and Engineering Conference MSEC2022, June 27-July 1, 2022, West Lafayette, Indiana, USA, MSEC2022-84064.
Christina Bredebach and Tobias Rösner: Framework for Implementing UN SDGs in Corporate Strategy Using BSC
Presentation of a Methodology to Use UN SDGs for Measuring Sustainability in Business Contexts, The International Journal of Sustainability Policy and Practice, VOLUME 18 ISSUE 2, ISSN: 2325-1166 (Print),
ISSN: 2325-1182 (Online), https://doi.org/10.18848/2325-1166/CGP (Journal), 2022.


Daniel Büttner, Anne-Antonia Scheidler und Prof. Markus Rabe: A reference model for data-driven sales planning : development of the model’s framework and functionality, in Hamburg International Conference of Logistics (HICL) 31: 441-476 (2021), https://tore.tuhh.de/handle/11420/11177 .
Daniel Büttner & Markus Rabe: Sales Forecasting in the Electrical Industry – An Illustrative Comparison of Time Series and Machine Learning Approaches, in 2021 9th International Conference on Traffic and Logistic Engineering (ICTLE), 10.1109/ICTLE53360.2021.9525747https://ieeexplore.ieee.org/document/9525747 
Nicolas, F.N.P., Hellingrath, B. & Thomé, A.M.T. (2020). Toward the Development of Sales and Operations Planning (S&OP) Capabilities: Meta-Characteristics of a Taxonomy. In Proceedings of the 26th IJCIEOM, 1-9.
Nicolas, F.N.P., Thomé, A.M.T. & Hellingrath, B. (2021). Usage of Information Technology and Business Analytics within Sales and Operations Planning: A Systematic Literature Review. BJO&PM, 18(3), 1–15.
Nicolas, F.N.P., Thomé, A.M.T. & Hellingrath, B. (2021). Evolving Sales and Operations Planning Capabilities Through the Usage of Business Analytics. In Proceedings of the EurOMA 2021, 1-10.
Rösner, T. (in press): Supplier selection and order allocation in purchasing and supply management: a systematic literature review. International Journal of Procurement Management. DOI: 10.1504/IJPM.2021.1003899


Frédéric Nicolas: Usage of Information Technology and Business Analytics within S&OP: A Systematic Literature Review. Brazilian Journal of Operations and Production Management (BJOPM), published in special issue, accepted.
Frédéric Nicolas: Toward the Development of Sales and Operations Planning (S&OP) Capabilities: Meta-Characteristics of a Taxonomy. International Joint Conference on Industrial Engineering and Operations Management (IJCIEOM), published in proceedings, accepted.
Frédéric Nicolas: Evolving Sales and Operations Planning Capabilities through the Usage of Business Analytics. European Operations Management Association Conference (EurOMA).


Rabe, M.; Schmitt, D.: Domain-specific Language for Modeling and Simulating Actions in Logistics Networks. In: Mustafee, N.; Bae, K.-H.: Lazarova-Molnar, S.; Rabe, M.; Szabo, C.; Haas, P.; Son, Y.-S., (Hrsg.): Proceedings of the 2019 Winter Simulation Conference. Picataway: IEEE 2019, S. 1579-1590.
Rabe, M. Ammouriova, M.; Schmitt, D.; Chicaiza-Vaca, J.(2019): An Approach for Reducing the Search Space for Simheuristics Applications in Logistics Networks in Trading. .In: Putz, M.; Schlegel, A. (Hrsg.): Simulation in Produktion und Logistik 2019. Auerbach: Verlag Wissenschaftliche Skripten 2019, S. 335-344.
Rabe, M.; Schmitt; D:,Klüter, A.; Hunker, J.(2019): Decoupling the Modeling of Actions in Logistics Networks from the Underlying Simulation Data Model. In: Clausen, U.;.Langkau, S.; Kreuz, F.: (Hrsg.): Advances in Production, Logistics and Traffic. Procee­dings of the 4th Interdisciplinary Conference on Production Logistics and Traffic (ICPLT) 2019. Cham: Springer Nature Swit­zerland, S. 32-44.
Hetterscheid, E.& Schlüter, F. (2019): Morphology for Designing Cyber-Physical Systems in Supply Chain Planning and Control Processes. In: Logistics Journal, 03/2019, S. 1-5.
Klees, M.; Ott, A.; Biermann, D.; Henke, M. (2019): Smart Maintenance in der Blechstanz- und Umformindustrie – Zustandsüberwachung der Werkzeugschneiden durch Sensorintegration am Beispiel eines Stanzprozesses. In: Fit for Smart Maintenance, Tagungsband zum 18. Instandhaltungsforum
Zrenner, J., Möller, F., Jung, C., Eitel, A., & Otto, B. (2019). Usage control architecture options for data sovereignty in business ecosystems. In: Journal of enterprise information management, 32(3), 477–495. doi:10.1108/JEIM-03-2018-0058
Buß, D. (2019): Gestaltungs- und Erklärungsmodell als Beitrag für ein kollaboratives Ersatzteilmanagement. 1. Auflage. Hg. v. Axel Kuhn. Dortmund: Praxiswissen Service (Unternehmenslogistik).
Bücker, I. (2019): Industrie 4.0 als Gestaltungsprinzip zur Transformation automobillogistischer Prozesse. 1. Auflage. Hg. v. Boris Otto. Dortmund: Praxiswissen Service (Industrielles Informationsmanagement).


Rabe, M.; Ammouriova, M., Schmitt, D. (2018): Utilizing Domain-spe­cific Information for the Optimization of Logistics Networks. In: Rabe, M.; Juan, A.A.; Mustafee, N.; Skoogh, A.; Jain, S.; Jo­hansson, B. (Hrsg.): Proceedings of the 2018 Winter Simulation Conference. Picataway: IEEE 2018, S. 2873-2884.
Rabe, M.; Schmitt, D.; Ammouriova, M. (2018): Improving the Perfor­mance of a Logistics Assistance System for Materials Trading Networks by Grouping Similar Actions. In: Rabe, M.; Juan, A.A.; Mustafee, N.; Skoogh, A.; Jain, S.; Johansson, B. (Hrsg.): Procee­dings of the 2018 Winter Simulation Conference. Picataway: IEEE 2018, S. 2861-2872.
Rabe, M.; Schmitt, D.; Ammouriova, M. (2018): Utilizing Domain-speci­fic Information in Decision Support for Logistics Networks. 6th International Conference on Dynamics in Logistics, Bremen, 20.-22. Februar 2018, ohne Seitenzahlen.
Henke, M.; Besenfelder, C.; Kaczmarek, S.; Hetterscheid, E.; Schlüter, F. (2018): Dortmund Management Model – a Contri­bution to Digitalization in Logistics and Supply Chain Manage­ment. 9th International Scientific Symposium on Logistics (ISSL 2018). 13.06. – 14.06.2018, Marburg.
Hetterscheid, E.; Schlüter, F. (2018): Towards a Decision Sup­port Approach for Selecting Physical Objects in Collaborative Supply Chain Processes for Cyber Physical System-Transfor­mation, Proceedings of the 5th International Conference on Industrial Engineering and Applications, 26.-28.04.2018, Sin­gapore.
Hetterscheid, E. & Beißert, U. (2018). Digitalization Elements for Collaborative Planning and Control in Supply Chains. 6th International Conference on Dynamics in Logistics (LDIC 2018). 20.02.-22-02.2018, Bremen.
Schlüter, F. (2018): Procedure Model for Supply Chain Digitaliz­ation Scenarios for a Data-Driven Supply Chain Risk Manage­ment. In: Zsidisin, G. A.; Henke, M. (Ed.): Revisiting Supply Chain Risk, Springer, 2018.


Rabe, M.; Dross, F.; Schmitt, D.; Ammouriova, M.; Ipsen, C. (2017): Deci­sion Support for Logistics Networks in Materials Trading Using a Simheuristic Framework and User-generated Action Types. In: Wenzel, S.; Peter, T. (Hrsg.): Simulation in Produktion und Logistik 2017. Kassel: kassel university press 2017, S. 109-118.
Rabe, M.; Schmitt, D., Dross, F. (2017): Method to Model Actions for Discrete-event Simulations of Logistics Networks. In: Chan, W.K.V.; D‘Ambrogio, A.; Zacharewicz,G.; Mustafee,N.; Wainer, G.; Page, E (Hrsg.): Proceedings of the 2017 Winter Simulation Conference. Picataway: IEEE 2017, S. 3370-3381
Rabe, M.; Dross, F.; Wuttke, A.(2017): Combining a Discrete-event Simulation Model of a Logistics Network with Deep Reinforcement Learning. In: Duarte, A.; Juan, A.A.; Mélian, B.; Ramalhinho, H. (Hrsg.): Metaheuristics: Proceeding of the MIC and MAEB 2017 Conferences, Barcelona, 04.-07. Juli 2017, S. 765-774.
Schlüter, F.; Hetterscheid, E.; Henke, M. (2017): A Simulati­on-Based Evaluation Approach for Digitalization Scenarios in Smart Supply Chain Risk Management. In: Journal of Industrial Engineering and Management Science, 1/2017, S. 179-206.
Hetterscheid, E.; Schlüter, F.; Deckers, M. (2017): Auch mit Stahl geht‘s digital. In: Logistik Heute, 39 (2017) 9, S. 36-37.
Schlüter, F.; Hetterscheid, E. (2017): A Simulation Based Evaluation Approach for Supply Chain Risk Management Digitalization Scenarios, Proceedings of the 4th IEEE iCatse International Conference on Industrial Engineering, Manage­ment Science and Applications – ICIMSA 2017, 13.-15.06.2017, Seoul, South Korea, S. 64-68.
Hetterscheid, E. & Ipsen, C. (2017): Auf dem Weg zu einer automatisierte Materialdisposition.In:stahlmarkt, 2/2017,S.26-38
Schlüter, F.; Hetterscheid, E. (2017): Supply Chain Process ori­ented Technology-Framework for Industry 4.0, Hamburg Inter­national Conference of Logistics – HICL 2017, 12.-13.10.2017, Hamburg, Germany, S. 271-295.
Schlüter, F.; Henke, M. (2017): Smart Supply Chain Risk Ma­nagement – A Conceptual Framework for Future Research, Hamburg International Conference of Logistics – HICL 2017, 12.-13.10.2017, Hamburg, Germany, S. 337-356.
Schlüter, F.; Diedrich, K.; Güller, M. (2017): 15 Zukunftsthesen zum Supply Chain Risikomanagement in der Industrie 4.0, Lo­gistik für Unternehmen, 6/2017, S. 59-61.
Schlüter, F.; Diedrich, K.; Güller, M. (2017): Analyzing the Impact of Digitization on Supply Chain Risk Management, Proceedings of the 26th IPSERA Conference, 09.-12.04.2017, Budapest/Ba­latonfüred, Hungary
Bücker, I; Hermann, M; Otto, B. (2017): Industrie 4.0 requirements for the design and management of business processes: A case study. In : 8th EDSI Conference Granada, Spain, May 29 – June 1, 2017.
Köhne, F.; Sivakumaran, T.; Toth, M.(2017): Absatzmotivierte Auslandsproduktion in der Automobilindustrie.In:Göpfert, I.: Automobillogistik. Stand und Zukunftstrends. 3., aktualisierte und erweiterte Auflage,Wiesbaden: Springer Gabler, 2017 DOI: 10.1007/978-3-658-11103-8_11
Sprenger, P. (2017): Entwicklung eines Standort-Entscheidungsmodells im Supply Chain Design. Dissertation.
Hülsmann, Stephan (2017): Methode zur agenten-, ressourcen- und ereignisbasierten Steuerung logistischer Umschlagzentren. Dissertation. Praxiswissen Service UG.
Wiezorrek, A. (2017): Beitrag zur Konfiguration von globalen Wertschöpfungsnetzwerken.Dissertation



Schlüter, F.; Sprenger P. (2016): Migration framework for decen­tralized and proactive risk identification in a Steel Supply Chain via Industry 4.0 technologies, Proceedings of the 5th In­ternational Symposium and 27th National Conference on Ope­rational Research, 09.-11.06.2016, Athens, Greece, S. 85-91.
Bücker, I.; Hermann, M.; Pentek, T.; Otto,B. (2016): Towards a methodology for Industrie 4.0 transformation.In : Business Information Systems: 19th International Conference, BIS 2016, Leipzig, Germany, July, 6 – 8, 2016, proceedings [online]. p. 209–221.
Rabe, M.; Dross, F (2016).: Intelligente Entscheidungsunterstützung für Logistiknetzwerke des Werkstoffhandels. Werkstoffe in der Fertigung 5/2016, S. 24-25.
Schneiders, F.(2016); Entwicklung einer OP-Logistiksystemplanung als Element der Krankenhausbauplanung. Dissertation. Praxiswissen Service UG; Technische Universität Dortmund.
Achenbach, D.(2016): Marktbasiertes Auftragsvergabe- und Kapazitätsmanagement in horizontalen Produktionsnetzwerken mit kurzfristiger Leistungserbringung. Dissertation. Praxiswissen Service UG.
Rotmann, M.(2016): Messung und Optimierung der Lieferperformance im innerwerklichen Bahnbetrieb am Beispiel der Stahlindustrie. Dissertation.