Liner Ship Fleet Planning: Models and Algorithms systematically introduces the latest research on modeling and optimization for liner ship fleet planning with demand uncertainty. Container shipping companies have struggled since the financial crisis of 2007-2008, making it critical for them to make informed decisions about their fleet planning and development. Current and future shipping professionals require systematic approaches for investigating and solving their fleet planning problems, as well as methodologies for addressing their other shipping responsibilities. Liner Ship Fleet Planning addresses these needs, providing the most recent quantitative research of liner shipping in maritime transportation. The research and methods provided assist those tasked with optimizing shipping efficiency and fleet deployment in the face of uncertain demand. Suitable for those with any level of quantitative background, the book serves as a valuable resource for both maritime academics, and shipping professionals involved in planning and scheduling departments.

Liner Ship Fleet Planning: Models and Algorithms

Politics & Social Sciences

Wang, Tingsong

Wang, Shuaian

Meng, Qiang

Social Sciences

Elsevier

Applications of Machine Learning and Data Analytics Models in Maritime Transportation

Engineering & Transportation

Yan, Ran

Transportation

The Institution of Engineering and Technology

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Books by Wang, Shuaian