Effect of block length and yard crane deployment systems on overall performance at a seaport container transshipment terminal

被引:99
作者
Petering, Matthew E. H. [1 ]
Murty, Katta G. [2 ]
机构
[1] Univ Wisconsin, Dept Ind & Mfg Engn, Milwaukee, WI 53201 USA
[2] Univ Michigan, Dept Ind & Operat Engn, Ann Arbor, MI 48109 USA
关键词
Container terminal; Maritime shipping; Block length; Yard crane deployment; Simulation; Terminal design; Gross crane rate; SIMULATION-MODEL; OPERATIONS-RESEARCH; OPTIMIZATION; NETWORK; METHODOLOGY; TRANSPORT; STORAGE; FLOWS;
D O I
10.1016/j.cor.2008.04.007
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
As more and more container terminals open tip all over the world, terminal operators are discovering that they must increase quay crane work rates in order to remain competitive. In this paper we present a simulation study that shows flow a terminal's long-run average quay crane rate depends on (I) the length of the storage blocks in the terminal's container yard and (2) the system that deploys yard cranes among blocks in the same zone. Several different block lengths and yard crane deployment systems are evaluated by a fully dynamic, discrete event simulation model that considers the detailed movement of individual containers passing through a vessel-to-vessel transshipment terminal over a several week period. Experiments consider four container terminal scenarios that are designed to reproduce the multi-objective, stochastic, real-time environment at a multiple-berth facility. Results indicate that a block length between 56 and 72 (20-ft) slots yields the highest quay crane work rate, and that a yard crane deployment system that restricts crane movement yields a higher quay crane work rate than a system that allows greater yard crane mobility. Interestingly, a block length of 56-72 slots is somewhat longer than the average block in use today. The experiments provide the First direct connection in the literature between block length and long-run performance at a seaport container terminal. The simulator call be suitably customized to real, pure-transshipment ports and adequately tuned to get an appreciable prescriptive power. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1711 / 1725
页数:15
相关论文
共 54 条
[1]  
Alessandri A., 2007, Journal of Mathematical Modeling and Algorithms, V6, P109, DOI [10.1007/s10852-006-9052-3, DOI 10.1007/S10852-006-9052-3]
[2]   Object oriented model for container terminal distributed simulation [J].
Bielli, Maurizio ;
Boulmakoul, Azedine ;
Rida, Mohamed .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2006, 175 (03) :1731-1751
[3]   COMPUTER-SIMULATION OF A SEAPORT CONTAINER TERMINAL [J].
BOROVITS, I ;
EINDOR, P .
SIMULATION, 1975, 25 (02) :141-144
[4]   Simulation and genetic algorithms for ship planning and shipyard layout [J].
Bruzzone, A ;
Signorile, R .
SIMULATION, 1998, 71 (02) :74-83
[5]   A queuing network model for the management of berth crane operations [J].
Canonaco, Pietro ;
Legato, Pasquale ;
Mazza, Rina M. ;
Musmanno, Roberto .
COMPUTERS & OPERATIONS RESEARCH, 2008, 35 (08) :2432-2446
[6]  
Chung RK, 2002, TRANSPORT SCI, V36, P79, DOI 10.1287/trsc.36.1.79.568
[7]   A SIMULATION ANALYSIS FOR A TRANSTAINER-BASED CONTAINER HANDLING FACILITY [J].
CHUNG, YG ;
RANDHAWA, SU ;
MCDOWELL, ED .
COMPUTERS & INDUSTRIAL ENGINEERING, 1988, 14 (02) :113-125
[8]   Advanced methods for container stacking [J].
Dekker, Rommert ;
Voogd, Patrick ;
van Asperen, Eelco .
OR SPECTRUM, 2006, 28 (04) :563-586
[9]   Simulation modelling and analysis of a port investment [J].
Demirci, E .
SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2003, 79 (02) :94-105
[10]  
Dragovic B., 2005, MARITIME EC LOGISTIC, V7, P316, DOI [10.1057/palgrave.mel.9100141, DOI 10.1057/PALGRAVE.MEL.9100141]