Curriculum Vitae

Daniel Büttner studied logistics in both his bachelor's and master's degree. He has been working at the TU Dortmund University in the ITPL department since the end of 2018. In the context of his PhD, he deals with sales planning and forecasting using different methods. In particular, he examines information and data that are used in the processes for creating sales plans.




ORCID

0000-0002-4449-2452



Fields of Research




Publications:

Büttner, D.: A reference model for quantitative Sales Planning within Supply Chain Planning. Series "Fortschritte in der IT in Produktion und Logistik", Vol 6. Göttingen: Cuvillier 2023. Details.

Büttner, D.: Referenzmodell für die quantitative Absatzplanung innerhalb der Supply-Chain-Planung. In: Rabe, M.; Scheidler, A.-A. (eds.): Drei Dutzend Jahre Simulationstechnik - Festkolloquium September 2022. Göttingen: Cuvillier 2022, pp. 41-42. download SR_04_Festkolloquium.pdf

Büttner, D.; Rabe, M.: Sales Forecasting in the Electrical Industry - An Illustrative Comparison of Time Series and Machine Learning Approaches. 7th International Conference on Innovation and Industrial Logistics, Macao, 9th-11th August 2021, pp. 69-78. Details.

Büttner, D.; Scheidler, A. A.; Rabe, M.: A Reference Model for Data-driven Sales Planning in Distribution Systems: Development of the Model's Framework and Functionality. Hamburg International Conference on Logistics, 21.24. September 2021, Hamburg, pp. 441-476. download Details.



 

Supervised Theses:

Hoppe, T.: Identifikation von Datenattributen zur Erstellung von Absatzprognosen und exemplarische Anwendung. TU Dortmund University, Department IT in Production and Logistics, master thesis, 2020.

Schreckenberg, F.; Linz, K.: Potenziale der Künstlichen Intelligenz und computergestützte Ansätze für die Absatzprognose. TU Dortmund University, Department IT in Production and Logistics, project thesis, 2020.

Dogan, Ö. C.; Patrick, J.: Methoden des Bestandsmanagements und ihre Branchenabhängigkeit. TU Dortmund University, Department IT in Production and Logistics, project thesis, 2019. download FP_2019_DoganPatrick.pdf