A frequency-based maritime container assignment model

Bell, M.G.; Liu, Xin; Angeloudis, Panagiotis; Fonzone, Achille; Hosseinloo, Solmaz Haji

doi:10.1016/j.trb.2011.04.002

Cited by 101 publications

(39 citation statements)

References 6 publications

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“…Bell et al, [22], developed a model in which containers are carried by shipping lines operating strings (or port rotations) with given service frequencies. An origin-destination matrix of full containers is assigned to these strings to minimize sailing time plus container dwell time at the origin port and any intermediate transhipment ports.…”

Section: A Single Objective Optimizationmentioning

confidence: 99%

“…Maurizio et al [23] extended the frequency based approach introduced by Bell et al [22] to an intermodal network, adding services capacity constraints, loading/ unloading and duty check times, while empty containers repositioning is not treated. It deals with container assignment optimization on an intermodal network and proposed a linear programming model.…”

Section: A Single Objective Optimizationmentioning

confidence: 99%

See 1 more Smart Citation

A review of multi-objective optimization of container flow using sea and land legs together

Rajković¹,

Zrnić²,

Kirin³

et al. 2016

FME Transaction

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Section: A Single Objective Optimizationmentioning

confidence: 99%

Section: A Single Objective Optimizationmentioning

confidence: 99%

A review of multi-objective optimization of container flow using sea and land legs together

Rajković¹,

Zrnić²,

Kirin³

et al. 2016

FME Transaction

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show abstract

“…The amount of traffic planned by liner shipping companies has been modelled with equilibrium models by Bell et al (2011). A general overview of the applicability of optimization and assignment methods for container liner shipping is presented further in the recent review by Khoi Tran and Haasis (2013).…”

Section: Freight Assignmentmentioning

confidence: 99%

Equilibrium models in multimodal container transport systems

2015

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Optimizing the performance of multimodal freight transport networks involves adequately balancing the interplay between costs, volumes, times of departure and arrival, and times of travel. In order to study this interplay, we propose an assignment model that is able to efficiently determine flows and costs in a multimodal network. The model is based on a so-called user equilibrium principle, which is at the basis of Dynamic Traffic Assignment problems. This principle takes into account transport demands to be shipped using vehicles that transport single freight units (such as trucks) or multiple freight units (such as trains and barges, where demand should be bundled to reach efficient operations). Given a particular demand, the proposed model provides an assignment of the demand over the available modes of transport. The outcome of the model, i.e., the equilibrium point, minimizes users' generalized costs, expressed as a function of mode, travel time and related congestion, and waiting time for bundling sufficient demand in order to fill a vehicle. The model deals with these issues across a doubly-dynamic time scale and in an integrated manner. One dynamic involves a learning dynamic converging towards an equilibrium (day-to-day) situation, reflecting the reaction of the players towards the action of the others. Another dynamic considers the possible departure time that results in minimum expected costs, also due to the fact that players mutually influence each other on the choice of departure times, due to congestion effects and costs for early/late arrival of freight units. This is a choice within a given time horizon such as a day or a week. We present a study on the influence and sensitivity of different model parameters, in order to analyse the implications on strategic decisions, fostering a target modal share for freight transportation. We also study under which conditions the different modes can be substitutes for each other.

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“…4 (b), all the 5000n containers can be shipped. Most studies on liner shipping services require fixed port rotations as input of the models (Dong and Song, 2009;Bell et al, 2011;Qi and Song, 2012;Song and Dong, 2012;Wang and Meng, 2012b;Brouer et al, 2013;Wang et al, 2013b). One line of literature relevant to the optimization of port rotation directions is port rotation design, which is usually referred to as liner ship route design or liner shipping network design; for example, Shintani et al (2007), Agarwal and Ergun (2008), Alvarez (2009), Meng et al (2012, Reinhardt and Pisinger (2012).…”

Section: Literature Reviewmentioning

confidence: 99%

Reversing port rotation directions in a container liner shipping network

Wang

Meng

2013

Transportation Research Part B: Methodological

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Reversing port rotation directions of ship routes is a practical alteration of container liner shipping networks. The port rotation directions of ship routes not only affect the transit time of containers, as has been recognized by the literature, but also the shipping capacity and transshipment cost. This paper aims to obtain the optimal port rotation directions that minimize the generalized network-wide cost including transshipment cost, slotpurchasing cost and inventory cost. A mixed-integer linear programming model is proposed for the optimal port rotation direction optimization problem and it nests a minimum cost multi-commodity network flow model. The proposed model is applied to a liner shipping network operated by a global liner shipping company. Results demonstrate that real-case instances could be efficiently solved and significant cost reductions are gained by optimization of port rotation directions. AbstractReversing port rotation directions of ship routes is a practical alteration of container liner shipping networks. The port rotation directions of ship routes not only affect the transit time of containers, as has been recognized by the literature, but also the shipping capacity and transshipment cost. This paper aims to obtain the optimal port rotation directions that minimize the generalized network-wide cost including transshipment cost, slot-purchasing cost and inventory cost. A mixed-integer linear programming model is proposed for the optimal port rotation direction optimization problem and it nests a minimum cost multicommodity network flow model. The proposed model is applied to a liner shipping network operated by a global liner shipping company. Results demonstrate that real-case instances could be efficiently solved and significant cost reductions are gained by optimization of port rotation directions.

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A frequency-based maritime container assignment model

Cited by 101 publications

References 6 publications

A review of multi-objective optimization of container flow using sea and land legs together

A review of multi-objective optimization of container flow using sea and land legs together

Equilibrium models in multimodal container transport systems

Reversing port rotation directions in a container liner shipping network

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