Investigation of port capacity under a new approach by computer simulation

Kia, M.; Shayan, E.; Ghotb, Fatemeh

doi:10.1016/s0360-8352(02)00051-7

Cited by 107 publications

(44 citation statements)

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“…Similarity in the procedure of determining port capacity having a di erent approach can be drawn to Kia et al (2002) and Wang et al (2002). A er data entry in the transition table, the de ned number of periods (n = 1,…, 12 steps), the initial state vector of the terminal at time t = 0, 0 1,0,0,0,0 P ª º ¬ ¼ and the probabilities of the ve terminal states are obtained and presented in Fig.…”

Section: Sst Terminal Operationsmentioning

confidence: 75%

Predictable Uncertainty About Terminal Operations in the Sea

Hess

2010

Transport

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This paper considers a problem of planning short term operations in a bulk terminal faced by port management when making tactical decisions. Ship loading and discharging, cargo stocking, the maintenance and service of facility equipment are regular operations of a bulk terminal which is a subsystem of a sea port the conduct of which is subject to difficult‐to‐predict or unforeseen influences. The problem that port management encounters in day to day operations looks into making the best possible plan with the scheduled duration of operations/states and transition instants, considering various internal and external factors influencing terminal performance. A state and transition model is used for deriving effective solutions to obtaining the state order and state transition time of a bulk terminal with an objective of minimizing operational costs. The behaviour of the terminal is tested applying the stochastic and deterministic method.

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Section: Sst Terminal Operationsmentioning

confidence: 75%

Predictable Uncertainty About Terminal Operations in the Sea

Hess

2010

Transport

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“…Kia et al (2002) compared the current layout of an Australian port with their newly proposed layout using a simulation model. In the proposed model, a ship-to-rail direct loading approach was considered to move the containers directly from the berth to a distribution centre by trains.…”

Section: Literature Reviewmentioning

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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“…In recent years, simulation has been widely used in container terminal studies. Recent examples include the results of Kia et al (2002), Liu et al (2002), Shabayek and Yeung (2002), Yang et al (2004), Hartmann (2004) as well as Sacone and Siri (2009). There are many traffic simulation software options available on the market, for example, the PARAMICS microscopic simulation package (Xie et al, 2012).…”

Section: Literature Reviewmentioning

confidence: 99%

Methods for estimating vehicle queues at a marine terminal: A computational comparison

Chen

Yang

2014

International Journal of Applied Mathematics and Computer Science

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A long queue of vehicles at the gate of a marine terminal is a common traffic phenomenon in a port-city, which sometimes causes problems in urban traffic. In order to be able to solve this issue, we firstly need accurate models to estimate such a vehicle queue length. In this paper, we compare the existing methods in a case study, and evaluate their advantages and disadvantages. Particularly, we develop a simulation-based regression model, using the micro traffic simulation software PARAMIC. In simulation, it is found that the queue transient process follows a natural logarithm curve. Then, based on these curves, we develop a queue length estimation model. In the numerical experiment, the proposed model exhibits better estimation accuracy than the other existing methods.

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Investigation of port capacity under a new approach by computer simulation

Cited by 107 publications

References 1 publication

Predictable Uncertainty About Terminal Operations in the Sea

Predictable Uncertainty About Terminal Operations in the Sea

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

Methods for estimating vehicle queues at a marine terminal: A computational comparison

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