Work

Artificial Intelligence in Intralogistics Potentials and Challenges

Year: 2024

Type: conference-paper

Source: International Conference on Traffic and Logistic Engineering (ICTLE)

DOI: 10.1109/ictle62418.2024.10703935

Authors: Hannes Winkler, Greta-Sophie Fiorina Igel, Luiz Felipe R. R. Scavarda Do Carmo

Institution: Pontifícia Universidade Católica do Rio de Janeiro

Language: English

Topic: Impact of AI and Big Data on Business and Society

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4403211592

FWCI:

Cites: 17

Cited by:

Related to: 10