Storage yard operations in container terminals: Literature overview, trends, and research directions

Carlo, Héctor J.; Vis, Iris F. A.; Roodbergen, Kees Jan

doi:10.1016/j.ejor.2013.10.054

Cited by 314 publications

(158 citation statements)

References 103 publications

Supporting

Mentioning

135

Contrasting

Unclassified

Order By: Relevance

“…To show the impact of the aforementioned strategies on the performance of port A, we develop a simulation model of the port, using the two aforementioned online scheduling (DVS) and container placing (DTS) strategies, with an 7 A recent literature review on this topic can be found in Carlo et al (2014a) optimal eet size of six IAVs (as identi ed in Subsect. 4.6.1, IAVs are found more bene cial to port A than trucks).…”

Section: Resultsmentioning

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

View full text Add to dashboard Cite

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.

show abstract

Section: Resultsmentioning

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

View full text Add to dashboard Cite

show abstract

“…A survey of storage and stacking logistics at container terminals is provided in [46], [45], [5] and [3]. A more specific overview of some of the most relevant optimization problems related to stacking at container terminals is given in [9], which also proposes a number of alternative policies for stacking containers in a yard.…”

Section: Literature Reviewmentioning

confidence: 99%

Solving the pre-marshalling problem to optimality with A* and IDA*

2016

View full text Add to dashboard Cite

We present a novel solution approach to the container pre-marshalling problem using the A* and IDA* algorithms combined with several novel branching and symmetry breaking rules that significantly increases the number of pre-marshalling instances that can be solved to optimality. A* and IDA* are graph search algorithms that use heuristics combined with a complete graph search to find optimal solutions to problems. The container pre-marshalling problem is a key problem for container terminals seeking to reduce delays of inter-modal container transports. The goal of the container pre-marshalling problem is to find the minimal sequence of container movements to shuffle containers in a set of stacks such that the resulting stacks are arranged according to the time each container must leave the stacks. We evaluate our approach on three well-known datasets of pre-marshalling problem instances, solving over 500 previously unsolved instances to optimality, which is nearly twice as many instances as the current state-of-the-art method solves. e

show abstract

“…A stowage (or loading) instruction is necessary to define the rules how and where containers have to be stored [1,2]. Problems with yard crane scheduling refer to minimum waiting time of the truck at the yard and to minimum travelling time of the yard crane in the yard zone.…”

Section: Literature Overviewmentioning

confidence: 99%

Simulation Studies Into Quayside Transport and Storage Yard Operations in Container Terminals

Deja

Dobrzyński

Siemiątkowski

et al. 2017

Polish Maritime Research

View full text Add to dashboard Cite

show abstract

Storage yard operations in container terminals: Literature overview, trends, and research directions

Cited by 314 publications

References 103 publications

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

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

Solving the pre-marshalling problem to optimality with A* and IDA*

Simulation Studies Into Quayside Transport and Storage Yard Operations in Container Terminals

Contact Info

Product

Resources

About