2019

Adaptive manufacturing execution systems (AMES): Best practices for implementations in small and medium-sized businesses, Jonas Kallisch, Frank Oppenheimer; Prodeedings of the 10th Annual European Decision Sciences Conference (EDSI), Nottingham, UK; 06 / 2019

2020

Aufbau einer Test-und Integrationsplattform zur Erprobung von Anwendungen der Industrie 4.0, Kott, Fabian and Kallisch, Jonas; Wirtschaftsinformatik (Zentrale Tracks); 2020

Evaluating the Microservice Architecture Style for Manufacturing Cell Controller Software, Christoph Wunck, Jonas Kallisch; International Journal of Computers and Their Applications Volume 27; June / 2020

2022

Development of a Prototype for a Process Support and Analysis Platform for Small and Medium-sized Enterprises, Jonas Kallisch, Christoph Wunck; Proceedings of 35th International Conference on Computer Applications in Industry and Engineering 89; 10 / 2022

Options for connecting decentralized data infrastructure to improve Supply-Chain decision making without giving up individual data property, Jonas Kallisch, Christoph Wunck; Decision Sciences Institute 2022 Annual Conference Proceedings; November / 2022

Securing the data bridges in digital supply chains, Jonas Kallisch, Karl-Heinz Niemann und Christoph Wunck; ICTA EMoS; 11 / 2022

2023

Using vertical Federated Learning in industrial Supply Chains; Jonas Kallisch, Christoph Wunck; Decision Science Institute; 11 / 2023

Development of a Prototype for a Process Support and Analysis Platform for Small and Medium-sized Enterprises; Jonas Kallisch, Christoph Wunck; International Journal of Computers and Their Applications; 07 / 2023

2024

Kallisch, J., Marx-Gómez, J., Wunck, C. (2024). Challenges and Opportunities of Intercompany Big Data Analytics in Supply Chains. In: Mora, M., Wang, F., Marx Gomez, J., Duran-Limon, H. (eds) Development Methodologies for Big Data Analytics Systems. Transactions on Computational Science and Computational Intelligence. Springer, Cham.https://doi.org/10.1007/978-3-031-40956-1_10