<p><p>This monograph addresses several critical problems to the operations of shipping lines and ports, and provides algorithms and mathematical models for use by shipping lines and port authorities for decision support. One of these problems is the repositioning of container ships in a liner shippi
Liner Ship Fleet Planning. Models and Algorithms
✍ Scribed by Tingsong Wang, Shuaian Wang and Qiang Meng (Auth.)
- Publisher
- Elsevier
- Year
- 2017
- Tongue
- English
- Leaves
- 184
- Edition
- 1st Edition
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
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.
✦ Table of Contents
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
✦ Subjects
Home;Books & Journals;Medicine;Behavioral Science;Social and Behavioral Sciences;Liner Ship Fleet Planning
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