Optimizing Liner Shipping Fleet Repositioning Plans

  • Kevin Tierney

Part of the Operations Research/Computer Science Interfaces Series book series (ORCS, volume 57)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Kevin Tierney
    Pages 1-6
  3. Kevin Tierney
    Pages 7-19
  4. Kevin Tierney
    Pages 21-34
  5. Kevin Tierney
    Pages 35-52
  6. Kevin Tierney
    Pages 141-142
  7. Back Matter
    Pages 143-182

About this book

Introduction

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 shipping network in order to adjust the network to seasonal shifts in demand or changes in the world economy. We provide the first problem description and mathematical model of repositioning and define the liner shipping fleet repositioning problem (LSFRP). The LSFRP is characterized by chains of interacting activities with a multi-commodity flow over paths defined by the activities chosen. We first model the problem without cargo flows with a variety of well-known optimization techniques, as well as using a novel method called linear temporal optimization planning that combines linear programming with partial-order planning in a branch-and-bound framework. We then model the LSFRP with cargo flows, using several different mathematical models as well as two heuristic approaches. We evaluate our techniques on a real-world dataset that includes a scenario from our industrial collaborator. We show that our approaches scale to the size of problems faced by industry, and are also able to improve the profit on the reference scenario by over US$14 million.

Keywords

Container Ships Fleet Repositioning Logistics Operations Research Port Design Shipping Lines

Authors and affiliations

  • Kevin Tierney
    • 1
  1. 1.Decision Support & Operations Research LabUniversity of PaderbornPaderbornGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-17665-9
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Business and Economics
  • Print ISBN 978-3-319-17664-2
  • Online ISBN 978-3-319-17665-9
  • Series Print ISSN 1387-666X
  • About this book
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