Rubber tired gantry crane deployment for container yard operation

Linn, Richard J.; Liu, Jiyin; Wan, Yat-wah; Zhang, Chuqian; Murty, Katta G.

doi:10.1016/s0360-8352(03)00046-9

Cited by 68 publications

(21 citation statements)

References 10 publications

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“…Zhang et al [12] formulated the dynamic crane deployment problem as a mixed integer programming model and solved it by Lagrangean relaxation. Linna et al [13] proposed an algorithm and a mathematical model for the optimal YC deployment problem. Kim et al [14] developed a dynamic programming model to optimize the receiving and delivery operations of outside trucks, and derived the decision rule by learning-based method.…”

Section: Literature Reviewmentioning

confidence: 99%

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Integrating simulation and optimization to schedule loading operations in container terminals

Zeng

Yang

2009

Computers & Operations Research

155

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Section: Literature Reviewmentioning

confidence: 99%

“…Constraints (12) determine the set of pairs of jobs between which there is precedence relationship. Constraints (13) are binary constraints.…”

Section: Model Formulationmentioning

confidence: 99%

Integrating simulation and optimization to schedule loading operations in container terminals

Zeng

Yang

2009

Computers & Operations Research

155

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“…Only four articles consider the problem of inter-block YC deployment. Cheung et al [10], Linn et al [11], Linn and Zhang [12], and Zhang et al [13] develop methods for allocating YCs among yard blocks and for scheduling interblock YC moves. The first, third and fourth articles present integer programming models of long-range YC deployment problems, but do not embed these models within a simulation model to test their performance in a real-time environment.…”

Section: Literature Reviewmentioning

confidence: 99%

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

Petering

Murty

2009

Computers & Operations Research

Self Cite

126

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As more and more container terminals open up 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 how a terminal's long-run average quay crane rate depends on (1) 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 can be suitably customized to real, pure-transshipment ports and adequately tuned to get an appreciable prescriptive power.

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“…Rubber tired gantry crane (RTGC) is one of types of Gantry cranes. The RTGC has a width of 7 lanes, which are each equivalent to the forty-foot container width; 6 lanes are used to store the containers and the 7 th lane is customisable for the yard trucks [4]. One conclusion is that, while YCs can stack containers above each other in stacks of up to seven, the optimal stacking height was determined to be 5 levels [5].…”

Section: Literature Reviewmentioning

confidence: 99%

Improving Productivity of Yard Trucks in Port Container Terminal Using Computer Simulation

Ahmed¹,

Zayed²,

Alkass

2014

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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In port container terminals, reducing vessel turnaround time improves the terminal productivity and increases the capacity of world trades across the globe. This time reduction can be achieved by improving one or more container terminal major resources. Much research has been done on improving container terminal efficiency as a means to reduce vessel turnaround time; however, room still available for improvement. Minimizing the empty journeys of yard trucks could improve container terminal efficiency with reasonable time and cost investment. The objective of this research is to maximize container terminal productivity by minimizing vessel turnaround time within reasonable expenses. A handling container strategy is introduced by employing double cycling to reduce the empty travel trips of yard trucks. This double-cycling strategy still requires the use a single-cycle one before the trucks can be incorporated into double-cycle scheduling. The strategy is based on combining the efforts of two quay cranes (loading and unloading) to work as a unit. Simulation is used to test the efficiency of the proposed strategy. Simulation results indicate an improvement in the productivity rate combined with the unit cost savings using yard truck double cycling comparing to the standard single cycle operation.

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Rubber tired gantry crane deployment for container yard operation

Cited by 68 publications

References 10 publications

Integrating simulation and optimization to schedule loading operations in container terminals

Integrating simulation and optimization to schedule loading operations in container terminals

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

Improving Productivity of Yard Trucks in Port Container Terminal Using Computer Simulation

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