Transshipment of containers at a container terminal: An overview

Vis, Iris F. A.; Koster, René de

doi:10.1016/s0377-2217(02)00293-x

Cited by 592 publications

(272 citation statements)

References 43 publications

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“…A general summary of decisions facing a terminal operator can be found in Vis and de Koster (2003). For each process taking place at a container terminal, the authors discuss types of material handling equipment used and related decision problems at all three decision levels.…”

Section: Multiple Decision Levelsmentioning

confidence: 99%

Simulation and optimisation of intermodal barge transport networks

Caris

2010

4OR-Q J Oper Res

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Section: Multiple Decision Levelsmentioning

confidence: 99%

Simulation and optimisation of intermodal barge transport networks

Caris

2010

4OR-Q J Oper Res

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“…This is in response to the enormous increase in the number of containers being used in sea transportation and the concomitant increase in the complexity of container terminal operations. For excellent reviews on the different strategic and operational issues that arise at container terminals, the reader is referred to the articles by Meersmans and Dekker [17] and Vis and Koster [23]. Scheduling of AGVs for container transport is one of the key problems identified in these papers.…”

Section: Literature Reviewmentioning

confidence: 99%

Dispatching Automated Guided Vehicles in a Container Terminal

Cheng

Sen

Natarajan

et al. 2005

Applied Optimization

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Automated guided vehicles (AGVs) are increasingly becoming the popular mode of container transport in seaport terminals. These unmanned vehicles are used to transfer containers between ships and storage locations on land. The efficiency of a container terminal is directly related to the amount of time each vessel spends in the port. Hence to maintain competitive advantage and increase the efficiency of the container terminal it is necessary to determine the appropriate number of AGVs to deploy, and formulate good dispatching strategies for these AGVs.Existing techniques available in the literature use a variety of heuristic methods for dispatching the automated guided vehicles. These methods have been primarily developed to work in a manufacturing context where the network structure is simple and only a small number of such vehicles are required. The situation in seaport terminals however entails a greater network complexity and also a large fleet of 80 or more automated guided vehicles. There is little experimental evidence on how these techniques perform in a container terminal environment.Furthermore, for the handful of papers on AGV dispatching in a terminal environment, to the best of our knowledge, none of the proposed methods have explicitly considered the effects of congestion to determine the appropriate number of AGVs to deploy.In this paper, we address this gap in existing research. We present a network flow formulation for the dispatching problem of the automated guided vehicles. This formulation can be efficiently solved to obtain deployment strategies for large network sizes. Furthermore, our objective is formulated in a way to minimize the waiting time of the AGVs at the berth side, reducing the possibility that the AGVs will be clustered near there. Simulation results verify that the network flow-based technique significantly increases the throughput of a container terminal. As a by-product, the simulation model can also be used to determine the appropriate number of AGVs to deploy.

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“…This is because there have been very few papers studying the bene ts of these types of vehicle (only 8 journal papers Le et al (2012) Yang et al (2004) according to (Angeloudis and Bell, 2011;Carlo et al, 2014b;Vis and De Koster, 2003)). Thus, we believe that there is a great potential to conduct in-depth research on this topic to further promote these emerging technologies.…”

Section: Introductionmentioning

confidence: 99%

“…As reviewed in (Angeloudis and Bell, 2011;Carlo et al, 2014b;Vis and De Koster, 2003) The contribution of this paper can be summarised as follows. First, a comprehensive literature review on simulation studies in container terminals was provided.…”

Section: Introductionmentioning

confidence: 99%

Green vehicle technology to enhance the performance of a European port: A simulation model with a cost-benefit approach

Kavakeb

Nguyễn

McGinley³

et al. 2015

Transportation Research Part C: Emerging Technologies

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In this paper, we study the impact of using a new intelligent vehicle technology on the performance and total cost of a European port, in comparison with existing vehicle systems like trucks. Intelligent autonomous vehicles (IAVs) are a new type of automated guided vehicles (AGVs) with better maneuverability and a special ability to pick up/drop o containers by themselves. To identify the most economical eet size for each type of vehicle to satisfy the port's performance target, and also to compare their impact on the performance/cost of container terminals, we developed a discrete-event simulation model to simulate all port activities in micro-level (low-level) details. We also developed a cost model to investigate the present values of using two types of vehicle, given the identi ed eet size. Results of using the di erent types of vehicles * Co-rst authors. These authors contributed equally to this work. Given the best con guration and eet size as identi ed by the simulation, we use the developed cost model to estimate the total cost needed for each type of vehicle to meet the performance target. Finally, we study the performance of the case study port with advanced real-time vehicle dispatching/scheduling and container placement strategies. This study reveals that the case study port can greatly bene t from upgrading its current vehicle dispatching/scheduling strategy to a more advanced one.

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Transshipment of containers at a container terminal: An overview

Cited by 592 publications

References 43 publications

Simulation and optimisation of intermodal barge transport networks

Simulation and optimisation of intermodal barge transport networks

Dispatching Automated Guided Vehicles in a Container Terminal

Green vehicle technology to enhance the performance of a European port: A simulation model with a cost-benefit approach

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