Einbindung von intelligenten Ladungsträgern in Prozesse der Intralogistik

Author:

Kessler René,Suske Jendrik,Gómez Jorge Marx

Publisher

Springer Fachmedien Wiesbaden

Reference27 articles.

1. Ahm S, Helo PT (2011) Real-time tracking and tracing system: potentials for the logistics network. In: Proceedings of the 2011 international conference on industrial engineering and operations management Kuala Lumpur. https://www.researchgate.net/publication/235256611_Real-time_Tracking_and_Tracing_Systems_Potentials_for_the_Logistics_Network. Zugegriffen am 10.03.2019

2. Bundesministerium für Bildung und Forschung (2017) Industrie 4.0 – Innovationen für die Produkte von morgen. https://www.bmbf.de/pub/Industrie_4.0.pdf. Zugegriffen am 03.01.2019

3. Caballero-Gil C, Molina-Gil J, Caballero-Gil P, Quesada-Arencibia A (2013) IoT Application in the Supply Chain Logistics. In: Moreno-Díaz R, Pichler F, Quesada-Arencibia A (Hrsg) Computer aided systems theory – EUROCAST 2013. EUROCAST 2013. Lecture notes in computer science, Bd 8112. Springer, Berlin/Heidelberg. https://doi.org/10.1007/978-3-642-53862-9_8

4. Chow H, Choy KL, Lee WB, Chan F (2007) Integration of web-based and RFID technology in visualizing logistics operations – a case study. Supply Chain Manag Int J 12(3):221–234. https://doi.org/10.1108/13598540710742536

5. DHL, IBM (2018) Artificial intelligence in logistics – a collaborative report by DHL and IBM on implications and use cases for the logistics industry. https://www.logistics.dhl/content/dam/dhl/global/core/documents/pdf/glo-ai-in-logistics-white-paper.pdf. Zugegriffen am 02.01.2019

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