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Dive into the research topics where Maximilian Wünnenberg is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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A Classification of Data Structures for Process Analysis in Internal Logistics
Wuennenberg, M., Haid, C. & Fottner, J., 2023, Innovative Intelligent Industrial Production and Logistics - 4th International Conference, IN4PL 2023, Proceedings. Terzi, S., Madani, K., Gusikhin, O. & Panetto, H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 53-67 15 p. (Communications in Computer and Information Science; vol. 1886 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Inconsistency management in heterogeneous engineering data in intralogistics based on coupled metamodels
Ji, F., Wünnenberg, M., Schypula, R., Fischer, J., Hujo, D., Goedicke, M., Fottner, J. & Vogel-Heuser, B., 1 May 2023, In: At-Automatisierungstechnik. 71, 5, p. 364-379 16 p.Translated title of the contribution :Inconsistency management in heterogeneous engineering data in intralogistics based on coupled metamodels Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Inkonsistenzmanagement in Entwicklungsmodellen für Intralogistiksysteme
Ji, F., Vogel-Heuser, B., Wünnenberg, M., Fottner, J., Schypula, R. & Goedicke, M., 2023, In: VDI Berichte. 2023, 2419, p. 89-102 14 p.Translated title of the contribution :Inconsistency management in development models for intralogistics systems Research output: Contribution to journal › Article › peer-review
Open Access -
Towards Data Management and Data Science for Internal Logistics Systems using Process Mining and Discrete-Event Simulation
Wuennenberg, M., Wegerich, B. & Fottner, J., 2023, In: Procedia CIRP. 120, p. 852-857 6 p.Research output: Contribution to journal › Conference article › peer-review
Open Access2 Scopus citations -
Towards predictive analytics in internal logistics – An approach for the data-driven determination of key performance indicators
Wuennenberg, M., Muehlbauer, K., Fottner, J. & Meissner, S., Sep 2023, In: CIRP Journal of Manufacturing Science and Technology. 44, p. 116-125 10 p.Research output: Contribution to journal › Article › peer-review
12 Scopus citations