\u003cp\u003e\u003ci\u003eLiner Ship Fleet Planning: Models and Algorithms\u003c/i\u003e 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. \u003c/p\u003e \u003cp\u003eCurrent 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.\u003ci\u003e Liner Ship Fleet Planning\u003c/i\u003e 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.\u003c/p\u003e\u003cul\u003e \u003cli\u003eIntroduces the latest research on maritime transportation problems\u003c/li\u003e \u003cli\u003eAnalyzes problems of liner ship fleet planning, taking uncertainty into account\u003c/li\u003e \u003cli\u003ePromotes the use of mathematics to manage uncertainty, using stochastic programming models, and proposing solution algorithms to solve proposed models\u003c/li\u003e \u003cli\u003eIncludes case studies that provide detailed examples of real-world examples of fleet optimization\u003c/li\u003e \u003cli\u003eExplains 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\u003c/li\u003e\u003c/ul\u003e
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