Wuddi, P.; Fottner J.
Choosing Solutions for Current Problems in Operational Logistics Featuring Self-Learning Systems
249 - 253
2023 9th International Conference on Automation, Robotics and Applications (ICARA)
Abu Dhabi
2023

Fischer, Anne; Sun, Yuling; Kessler, Stephan; Fottner, Johannes
Microservice-Based Middleware for a Digital Twin of Equipment-Intensive Construction Processes
40th International Symposium on Automation and Robotics in Construction – ISARC 2023
Chennai, India
2023

Fischer, Anne; Beiderwellen Bedrikow, Alexandre; Tommelein, Iris D.; Nübel, Konrad; Fottner, Johannes
From activity recognition to simulation: impact of granularity on production models in heavy civil engineering
Algorithms
2023
16
4
24

Wünnenberg, Maximilian; Schypula, Rafael; Ji, Fan
Research data for the German Research Foundation project KonMaFS(451550676) - Consistent Development of Material Flow Systems using a Model-based approach

Mestiri, Slaheddine; Fottner, Johannes
Simulationsbasiertes Planungstool zur optimalen Auswahl der Transportmittel
f+h
2021

Mestiri, Slaheddine
Planungskompass zur Auswahl innerbetrieblicher Transportmittel
München
2022

Cai, Zhen; Etkar, Deniz; Kessler, Stephan; Fottner, Johannes
Design and Validation of an Internet of Things (IoT) based Architecture for the Construction Industry
Proceedings of WCSE 2022 Spring Event: 2022 9th International Conference on Industrial Engineering and Applications
Hainan, China
WCSE
2022

Fottner, Johannes; Rothmeyer, Florian
EPoSysKo – Entwicklung und Potentialanalyse eines Systemkoordinators für den typübergreifenden Einsatz von Flurförderzeugen
München
2022
104

Cai, Zhen;Huang, Yun;Kessler, Stephan;Fottner, Johannes
A Case Study: Developing a Systematic Method for the Digitalization of Business Processes for SME in the Construction Industry
Eurasian Studies in Business and Economics
Springer International Publishing
2022

Wünnenberg, Maximilian; Hujo, Dominik; Ji, Fan; Schypula, Rafael; Fottner, Johannes; Goedicke, Michael; Vogel-Heuser, Birgit
Konsistenzmanagement zum optimierten Data Management als Basis zur Anwendung von Data Science im Produktlebenszyklus von Materialflusssystemen
Logistics Journal
2022