Liner Ship Fleet Planning

Models and Algorithms

Tingsong Wang, Shuaian Wang, Qiang Meng

• Publisher: Elsevier
• Year: 2017
• Print ISBN: 9780128115022
• eBook ISBN: 9780128115039
• Topic: Social Sciences
• Subtopic: Sociology
• Index: Social Sciences

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

Part One

Introduction

Chapter One

Introduction to Shipping Services

Abstract

This chapter gives a comprehensive introduction to shipping services. The reader will learn about the development of seaborne trade and its structure, the container and container trade, the maritime transportation and its three modes, and the shipping service and design of liner operations.

Keywords

Seaborne trade; Container trade; Maritime transportation; Liner shipping

Contents

Seaborne Trade

Development of Seaborne Trade
Structure of Seaborne Trade

Container Ports

Containers
Throughput of Container Ports
Operational Performance of Ports

Maritime Transportation

Operational Modes
Liner Shipping

References

Seaborne Trade

Development of Seaborne Trade

Seaborne trade refers to goods that are transported by ships. It is the main artery, in a sense, of international trade, standing at the apex of the world's economic activity. The increasing globalization and interdependence of various world economies are leading to tremendous positive growth in the seaborne trade industry. According to the maritime transportation report released in 2015 by the United Nations Conference on Trade and Development (UNCTAD) secretariat, the volume of world seaborne shipments in 2014 increased by 3.4% over 2013. This increase is moderate because of the slow-moving recovery of the world economy, which is due to both an uneven economic recovery rate in developed countries and a slowdown in the economic growth rate in developing countries. The world's economic growth still has significant impact on the seaborne trade volumes; even the responsiveness of merchandise trade to the world's GDP growth is moderate in recent years. According to the review of maritime transport produced by UNCTAD, international seaborne trade increased from 5.983 billion tons in 2000 to 9.842 billion tons in 2014, showing a 3% annual average growth rate during the last 4 years (Review of Maritime Transportation, 2015). The trend in the growth rate of international seaborne trade for selected years is shown in Table 1.1.

Table 1.1

Developments in International Seaborne Trade, Selected Years (millions of tons loaded)

Year	Oil and Gas	Main Bulks^a	Other Dry Cargo	Total
1970	1440	448	717	2605
1980	1871	608	1225	3704
1990	1755	988	1265	4008
2000	2163	1295	2526	5984
2005	2422	1709	2978	7109
2006	2698	1814	3188	7700
2007	2747	1953	33...

Table of contents

• Cover image
• Title page
• Table of Contents
• Copyright
• About the Authors
• Preface
• Acknowledgments
• Part One: Introduction
• Part Two: Mathematical Modeling
• Part Three: Solution Algorithms
• Part Four: Case Studies
• Part Five: Conclusion
• Index