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Titel:

A Conceptual Approach for Optimizing Distribution Logistics using Big Data

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Engel, Tobias; Sadovskyi, Oleksandr; Böhm, Markus; Heininger, Robert; Krcmar, Helmut
Nicht-TUM Koautoren:
nein
Kooperation:
national
Abstract:
Big data analytics creates new opportunities and potentials in the field of supply chain management (SCM). Specifically, linking inter-firm supply chain processes of two entities such as freight forwarder and final customer were identified as relevant areas for performance improvements. Automatic analysis of data from sources such as mobile equipment, sensor networks, and geospatial devices can significantly improve accuracy of SCM transportation processes; thus contributing to supply chain per...     »
Intellectual Contribution:
Discipline-based Research
Kongress- / Buchtitel:
Proceedings of the 20th Americas Conference on Information Systems (AMCIS 2014)
Kongress / Zusatzinformationen:
Savannah, Georgia, USA
Jahr:
2014
Monat:
Jan
Key publication:
Nein
Peer reviewed:
Ja
International:
Ja
Book review:
Nein
commissioned:
not commissioned
Professional Journal:
Nein
Interdisziplinarität:
Nein
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