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Article

Quay crane scheduling in container terminals

W. C. Ng - Nama Orang; K. L. Mak - Nama Orang;

The problem of scheduling identical quay cranes moving along a common linear rail to handle containers for a ship is studied. The ship has a number of container-stacking compartments called bays, and only one quay crane can work on a bay at the same time. The objective of the scheduling problem is to find the work schedule for each quay crane which minimizes the ship’s stay time in port. Finding the optimal solution of the scheduling problem is computationally intractable and a heuristic is proposed to solve it. The heuristic first decomposes the difficult multi-crane scheduling problem into easier subproblems by partitioning the ship into a set of non-overlapping zones. The resulting subproblems for each possible partition are solved optimally by a simple rule. An effective algorithm for finding tight lower bounds is developed by modifying and enhancing an effective lower-bounding procedure proposed in the literature. Computational experiments were carried out to evaluate the performance of the heuristic on a set of test problems randomly generated based on typical terminal operations data. The computational results show that the heuristic can indeed find effective solutions for the scheduling problem, with the heuristic solutions on average 4.8% above their lower bounds.


Ketersediaan
#
IPC Corporate University Library ATC LO CNG q
ATC1803059
Tersedia
Informasi Detail
Judul Seri
Engineering Optimization
No. Panggil
ATC LO CNG q
Penerbit
China : Taylor and Francis., 2006
Deskripsi Fisik
16 p.
Bahasa
English
ISBN/ISSN
1029-0273
Klasifikasi
LO
Tipe Isi
-
Tipe Media
-
Tipe Pembawa
online resource
Edisi
Vol. 38, No. 6, September 2006, 723–737
Subjek
Container Terminal
quay crane scheduling
Heuristic
Info Detail Spesifik
-
Pernyataan Tanggungjawab
W. C. Ng
Versi lain/terkait
JudulEdisiBahasa
Crane Scheduling in Container Terminals : Mathematical Models, Heuristics and Algorithmsen
Container Terminal Operationsen
A genetic algorithm heuristic for solving the quay crane scheduling problem with time windowsMaritime Economics & Logistics (2015) 17, 515–537id
A simulation-based Genetic Algorithm approach for the quay crane scheduling under uncertaintyen
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PT Pendidikan Maritim dan Logistik Indonesia (PMLI) berdiri pada 10 Juli 2013, berdasarkan Akta Pendirian No. 26 Tanggal 10 Juli 2013 dan Akta Kementerian Hukum dan Hak Asasi Manusia No. AHU-45955.AH.01.01 tahun 2013.

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