Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Shipping and Logistics Analytics Using Big Data

Shipping and Logistics Analytics Using Big Data

Shibasaki, Ryuichi
Yang, Dong
Bai, Xiwen

Hardcover

Business GeneralTechnology & Engineering

PREORDER - Expected ship date December 15, 2026

ISBN10: 1032505346
ISBN13: 9781032505343
Publisher: Routledge
Published: Dec 15 2026
Pages: 340
Weight: 0.99
Language: English

With the advancement of information and communication technology, a data-driven approach applying the tools and methodologies of big data analytics has become quite common across the industry. In maritime shipping, the automatic identification system (AIS) vessel movement data is reliable and improving and has been used for the detection of suspicious vessels and to support vessel navigation. However, since detailed cargo items and loading/unloading conditions cannot be directly obtained from AIS data, research using this data in the fields of logistics, shipping, and shipbuilding is still limited. This book introduces the state of the art on the worldwide use of AIS and other maritime big data for shipping and logistics analysis, with data-oriented case studies, for the maritime and related industries and for university use in maritime economics, industrial engineering, and transport engineering.

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