Simon Kreuzwieser, M.Sc.

Simon Kreuzwieser, M.Sc.

  • Institut für Informationsmanagement im Ingenieurwesen (IMI)

    Gebäude 09.23

    Kriegsstraße 77

    76133 Karlsruhe

Vita

Simon Kreuzwieser studied industrial engineering with a major field in Product Lifecycle Management and Virtual Engineering at the Karlsruhe Institute of Technology (KIT). During his studies, he had the opportunity to gain practical experience both in Germany and abroad. After graduation in 2018, Mr. Kreuzwieser worked as a management consultant in CIO Advisory. He conducted national and international consulting projects in the areas of development, production, quality and supplier management in the automotive industry. He also advised companies in the consumer goods industry and the public sector. In October 2020, Mr. Kreuzwieser joined the Institute for Information Management in Engineering (IMI). His research focuses on process automation and Product Lifecycle Management, especially on Robotic Process Automation solutions as well as Artificial Intelligence (AI) methods.

Focus of research

  • Robotic Process Automation (RPA) and Artificial Intelligence (AI)
  • Product Lifecycle Management
  • Process Mining
Publications
title author source date

Simon Kreuzwieser, Anjela Mayer, Matthes Elstermann, Jivka Ovtcharova

Digitalisierung im Einkauf. doi: 10.1007/978-3-658-40570-0_16

2023

Simon Kreuzwieser, Andreas Kimmig, Felix Longge Michels, Rebecca Bulander, Victor Häfner, Jakob Bönsch, Jivka Ovtcharova

New Digital Work – Digital Sovereignty at the Workplace. Ed.: A. Shajek

2023

Simon Kreuzwieser, Uwe Philippeit, Janika Vödisch, Andreas Kimmig, Jivka Ovtcharova, Rebecca Bulander

QZ Qualität und Zuverlässigkeit, Vol. 68 No. 1, 2023, pp. 20-23.

2023

Simon Kreuzwieser, Andres Kimmig, Jivka Ovtcharova

American Journal of Intelligent Systems, Vol. 11 No. 1, 2021, pp. 8-13. doi: 10.5923/j.ajis.20211101.02.

2021

Rebecca Bulander, Simon Kreuzwieser, Andreas Kimmig. Bernhard Kölmel, Jivka Ovtcharova

ERP Management, Vol. 18 No. 4, 2022, pp. 44-49. doi: 10.30844/ERP_22-4_44-49

2022