Liner Ship Fleet Planning

Models and Algorithms

Nonfiction, Social & Cultural Studies, Political Science, Politics, Regional Planning, Science & Nature, Nature, Social Science
Cover of the book Liner Ship Fleet Planning by Tingsong Wang, Shuaian Wang, Qiang Meng, Elsevier Science
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Author: Tingsong Wang, Shuaian Wang, Qiang Meng ISBN: 9780128115039
Publisher: Elsevier Science Publication: May 18, 2017
Imprint: Elsevier Language: English
Author: Tingsong Wang, Shuaian Wang, Qiang Meng
ISBN: 9780128115039
Publisher: Elsevier Science
Publication: May 18, 2017
Imprint: Elsevier
Language: English

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.

  • Introduces the latest research on maritime transportation problems
  • Analyzes problems of liner ship fleet planning, taking uncertainty into account
  • Promotes the use of mathematics to manage uncertainty, using stochastic programming models, and proposing solution algorithms to solve proposed models
  • Includes case studies that provide detailed examples of real-world examples of fleet optimization
  • Explains how stochastic programming modeling methods and solution algorithms can be applied to other research fields featuring uncertainty, such as container yard planning, berth allocation and vehicle deployment problems
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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