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Data science in maritime and city logistics : data-driven solutions for logistics and sustainability
Citation Link: https://doi.org/10.15480/882.3101
Publikationstyp
Conference Proceedings
Date Issued
2020-09-23
Sprache
English
Herausgeber*innen
TORE-DOI
TORE-URI
First published in
Number in series
30
Citation
Hamburg International Conference of Logistics (HICL 2020)
Contribution to Conference
Publisher
epubli
ISSN
2365-5070
ISBN
978-3-753123-47-9
This volume contains research contributions by an international group of authors addressing innovative and technology-based approaches for logistics and sustainability. They present simulation studies, systems and models for optimizations and digitalized solutions with a focus on maritime as well port and city logistics.
This volume, edited by Carlos Jahn, Wolfgang Kersten, and Christian Ringle, provides valuable insights into digital transformation in logistics with regard to:
▪ Maritime Logistics
▪ Port Logistics
▪ City Logistics
▪ Sustainability
▪ Business Analytics
This volume, edited by Carlos Jahn, Wolfgang Kersten, and Christian Ringle, provides valuable insights into digital transformation in logistics with regard to:
▪ Maritime Logistics
▪ Port Logistics
▪ City Logistics
▪ Sustainability
▪ Business Analytics
Subjects
Logistics
Industry 4.0
Supply Chain Management
Sustainability
City Logistics
Maritime Logistics
Data Science
DDC Class
330: Wirtschaft
380: Handel, Kommunikation, Verkehr
Publication version
publishedVersion
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Name
Data Science in Maritime and City Logistics Data-driven Solutions for Logistics and Sustainability - Jahn Kersten Ringle.pdf
Size
4.76 MB
Format
Adobe PDF