Liner Ship Fleet Planning: Models and Algorithms

Tingsong Wang, Shuaian Wang, Qiang Meng

Research output: Authored / edited bookResearch book or monograph (as author)Academic researchpeer-review

Abstract

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.

Original languageEnglish
PublisherElsevier
Number of pages204
ISBN (Electronic)9780128115039
ISBN (Print)9780128115022
Publication statusPublished - 18 May 2017

ASJC Scopus subject areas

  • Social Sciences(all)

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