東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Optimizing liner shipping fleet repo...

Tierney, Kevin.

Linked to FindBook

Google Book

Amazon

博客來

Optimizing liner shipping fleet repositioning plans

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Optimizing liner shipping fleet repositioning plans/ by Kevin Tierney.
Author:	Tierney, Kevin.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	viii, 182 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Containerized Shipping -- Liner Shipping Fleet Repositioning -- Methodological Background -- Liner Shipping Fleet Repositioning without Cargo -- Liner Shipping Fleet Repositioning with Cargo -- Conclusion.
Contained By:	Springer eBooks
Subject:	Optimum ship routing. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-17665-9
ISBN:	9783319176659 (electronic bk.)

Optimizing liner shipping fleet repositioning plans
Tierney, Kevin.

Optimizing liner shipping fleet repositioning plans[electronic resource] /by Kevin Tierney. - Cham :Springer International Publishing :2015. - viii, 182 p. :ill., digital ;24 cm. - Operations research/computer science interfaces series,v.571387-666X ;. - Operations research/computer science interfaces series ;v.55..

Introduction -- Containerized Shipping -- Liner Shipping Fleet Repositioning -- Methodological Background -- Liner Shipping Fleet Repositioning without Cargo -- Liner Shipping Fleet Repositioning with Cargo -- Conclusion.

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.

ISBN: 9783319176659 (electronic bk.)

Standard No.: 10.1007/978-3-319-17665-9doiSubjects--Topical Terms:

2156278
Optimum ship routing.

LC Class. No.: VK570

Dewey Class. No.: 623.89

Optimizing liner shipping fleet repositioning plans
LDR:02614nam a2200337 a 4500 001 2007463
003 DE-He213
005 20160113132214.0
006 m d
007 cr nn 008maaau
008 160219s2015 gw s 0 eng d
020 $a 9783319176659 (electronic bk.)
020 $a 9783319176642 (paper)
024 7 $a 10.1007/978-3-319-17665-9 $2 doi
035 $a 978-3-319-17665-9
040 $a GP $c GP
041 0 $a eng
050 4 $a VK570
072 7 $a KJT $2 bicssc
072 7 $a KJMD $2 bicssc
072 7 $a BUS049000 $2 bisacsh
082 0 4 $a 623.89 $2 23
090 $a VK570 $b .T564 2015
100 1 $a Tierney, Kevin. $3 2156277
245 1 0 $a Optimizing liner shipping fleet repositioning plans $h [electronic resource] / $c by Kevin Tierney.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a viii, 182 p. : $b ill., digital ; $c 24 cm.
490 1 $a Operations research/computer science interfaces series, $x 1387-666X ; $v v.57
505 0 $a Introduction -- Containerized Shipping -- Liner Shipping Fleet Repositioning -- Methodological Background -- Liner Shipping Fleet Repositioning without Cargo -- Liner Shipping Fleet Repositioning with Cargo -- Conclusion.
520 $a 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.
650 0 $a Optimum ship routing. $3 2156278
650 0 $a Electronics in navigation. $3 1000363
650 0 $a Cargo ships. $3 2156279
650 1 4 $a Economics/Management Science. $3 890844
650 2 4 $a Operation Research/Decision Theory. $3 1620900
650 2 4 $a Production/Logistics/Supply Chain Management. $3 1530229
650 2 4 $a International Economics. $3 891053
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Operations research/computer science interfaces series ; $v v.55. $3 2130911
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-17665-9
950 $a Business and Economics (Springer-11643)