Optimizing Liner Shipping Fleet Repositioning Plans - Couverture rigide
Livre 29 sur 35: Operations Research/Computer Science Interfaces
Synopsis
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.
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À propos de l?auteur
Kevin Tierney is currently an Assistant Professor of "Decision Support Systems and Operations Research" in the department of Business Information Systems at the University of Paderborn in Paderborn, Germany. He earned his PhD from the IT University of Copenhagen in Copenhagen, Denmark in 2013 for his work on optimizing liner shipping fleet repositioning plans as part of the ENERPLAN project. He holds a Sc.M. in Computer Science from Brown University (2010) and a B.S. in Computer Science from the Rochester Institute of Technology (2008).
Kevin Tierney researches the modeling and solution of large scale, real world optimization problems using mixed-integer linear programming, constraint programming and (meta)heuristics. He focuses in particular on problems in the maritime industry, including liner shipping networks and container terminal optimization.
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Tierney:Optimizing Liner Shipping Fleet (eng)
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Optimizing Liner Shipping Fleet Repositioning Plans (Operations Research/Computer Science Interfaces Series, 57)
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Optimizing Liner Shipping Fleet Repositioning Plans
Edité par
Springer International Publishing Jun 2015, 2015
ISBN 10 : 3319176641
ISBN 13 : 9783319176642
Neuf
Couverture rigide
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 192 pp. Englisch. N° de réf. du vendeur 9783319176642
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Optimizing Liner Shipping Fleet Repositioning Plans (Operations Research/Computer Science Interfaces Series)
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Optimizing Liner Shipping Fleet Repositioning Plans (Operations Research/Computer Science Interfaces Series)
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Optimizing Liner Shipping Fleet Repositioning Plans (Operations Research/Computer Science Interfaces Series)
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Optimizing Liner Shipping Fleet Repositioning Plans
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Hardcover. Etat : Brand New. 2015 edition. 192 pages. 9.25x6.25x0.75 inches. In Stock. N° de réf. du vendeur x-3319176641
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Optimizing Liner Shipping Fleet Repositioning Plans
Edité par
Springer, Palgrave Macmillan Jun 2015, 2015
ISBN 10 : 3319176641
ISBN 13 : 9783319176642
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 192 pp. Englisch. N° de réf. du vendeur 9783319176642
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Optimizing Liner Shipping Fleet Repositioning Plans
ISBN 10 : 3319176641
ISBN 13 : 9783319176642
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783319176642
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