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Article

Yard crane management by simulation and optimisation

Rina M.Mazza - Nama Orang; Pietro Canonaco - Nama Orang; Pasquale Legato - Nama Orang;

In a terminal container the yard management is a critical and dynamic component that requires governance and flexibility to adapt to and address even the most complex issues arising out of yard planning and operations. With particular reference to the assignment and deployment of Rubber Tired Gantry Cranes among yard blocks, an optimisation model is proposed. Its purpose is to determine the block pairs between which yard cranes will be transferred during the period under examination in order to satisfy the crane capacity requirements and minimise the total cost for block matching and craneactivation. The use of this stand-alone optimisation approach is then extended by introducing the architecture of an integrated framework, which includes both optimisation and simulation techniques and is based on an all-inclusive queuing network representing the main subsystems of a terminal. During scenario analysis, the framework is designed to evaluate which policy for assigning yard cranes to yard blocks is best for meeting the dynamic and constantly updating requirements of the yard subsystem. To this purpose, some Ranking and Selection (R&S) techniques are considered. The ongoing numerical experiments mean to demonstrate how a newly proposed R&S procedure is sufficiently robust for use in practice


Ketersediaan
#
IPC Corporate University Library ATC MG LEG y C.1
ATC1600636
Tersedia
Informasi Detail
Judul Seri
-
No. Panggil
ATC MG LEG y
Penerbit
Italy : Palgrave Macmillan., 2009
Deskripsi Fisik
22 p.
Bahasa
English
ISBN/ISSN
1479-2931
Klasifikasi
MG
Tipe Isi
-
Tipe Media
-
Tipe Pembawa
online resource
Edisi
Vol. 11, 1, 36–57
Subjek
Logistics
maritime container terminal
yard operations
discreteevent simulation
combinatorial optimisation
ranking and selection
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Pasquale Legato
Versi lain/terkait
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A six sigma framework for marine container terminalsVol. 2 Iss 3en
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Strategic positioning analysis for seaporten
Planning and design of ports and marine terminalsEd. 2en
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Managing logistics and supply chain challenges : singapore insights and perspectivesen
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Just‐in‐time functional model: empirical test and validationVol. 24 Issue: 6, pp.20-26en
A genetic algorithm heuristic for solving the quay crane scheduling problem with time windowsMaritime Economics & Logistics (2015) 17, 515–537id
Logistics information systems: An analysis of software solutions for supply chain coordinationVol. 105 No. 1, 2005en
Simulation And Analysis of Container Terminal Capacity At Multi Terminal Indonesia (MTI)en
A genetic approach for freight transportation planningVol. 106 Iss 5 pp. 719 - 738en
B2c e-commerce logistics: the rise of collection-and-delivery points in The NetherlandsVol. 36 No. 8, 2008en
A fuzzy expert system design for forecasting return quantity in reverse logistics networkVol. 27 No. 3, 2014en
Simulating less-than-truckload terminal operationsVol. 14 No. 1, 2007 pp. 92-101en
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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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