Liner Ship Fleet Planning

  • Author : Tingsong Wang
  • Publsiher : Elsevier
  • Release : 18 May 2017
  • ISBN : 9780128115039
  • Page : 204 pages
  • Rating : 4/5 from 21 voters

Download or read online book entitled Liner Ship Fleet Planning written by Tingsong Wang and published by Elsevier. This book was released on 18 May 2017 with total page 204 pages. Available in PDF, EPUB and Kindle. Get best books that you want by click Get Book Button and Read as many books as you like. Book Excerpt : 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

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