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Optimizing Liner Shipping Fleet Repositioning Plans (Hardcover, 2015 ed.)
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Optimizing Liner Shipping Fleet Repositioning Plans (Hardcover, 2015 ed.)
Series: Operations Research/Computer Science Interfaces Series, 57
Expected to ship within 12 - 17 working days
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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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