Liner Ship Fleet Planning. Models and Algorithms

Description

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. Content: Front Matter,Copyright,About the Authors,Preface,AcknowledgmentsEntitled to full textPart One: IntroductionChapter One - Introduction to Shipping Services, Pages 3-14 Chapter Two - Liner Ship Fleet Planning, Pages 15-38 Chapter Three - Introduction to Stochastic Programming, Pages 41-48 Chapter Four - Chance-Constrained Programming, Pages 49-59 Chapter Five - Two-Stage Stochastic Model, Pages 61-72 Chapter Six - Sample Average Approximation, Pages 75-84 Chapter Seven - Dual Decomposition and Lagrangian Relaxation, Pages 85-92 Chapter Eight - Liner Ship Fleet Planning Problem With an Individual Chance-Constrained Service Level, Pages 95-112 Chapter Nine - Liner Ship Fleet Planning Problem With a Joint Chance-Constrained Service Level, Pages 113-126 Chapter Ten - Liner Ship Fleet Planning with Expected Profit Maximization, Pages 127-148 Chapter Eleven - Multiperiod Liner Ship Fleet Planning, Pages 149-175 Chapter Twelve - Conclusions and Future Outlook, Pages 179-184 Index, Pages 185-189