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Optimizing Liner Shipping Fleet Repositioning Plans

Name: Optimizing Liner Shipping Fleet Repositioning Plans
Brand: Springer International Publishing AG
SKU: 9783319368412
Price: 52.63 EUR
Availability: InStock

Автор: Kevin Tierney

Език:

Корици: С меки корици

Издател: Springer International Publishing AG

Наличност: Външен склад

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52.63 € 102.94 лв

This monograph addresses several critical problems to the operations of shipping lines and ports, an...

Информация за книгата

Автор

Kevin Tierney

Език

Английски език

Корици

Книга - С меки корици

Издадена

2016

страници

182

EAN

9783319368412

ISBN

3319368419

Enbook ID

15193990

Издател

Springer International Publishing AG

Теглоt

3342

Размери

155 x 235 x 8

Пълно описание

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.

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