Optimization of Container Terminal Problems: An Integrated Solution Approach

Expósito‐Izquierdo, Christopher; Lalla-Ruiz, Eduardo; Batista, Belén Melián; Moreno-Vega, J. Marcos

doi:10.1007/978-3-642-53856-8_41

Cited by 4 publications

(3 citation statements)

References 20 publications

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“…departure time, is not always improving stacking algorithm itself (Van Asperen et al 2013). Here, more real context is claimed to be researched (Expósito-Izquierdo et al 2013). However, categorization of containers as basic information is seen a good influencing factor for e.g.…”

Section: Integrated Approaches For Interrelated Terminal Problemsmentioning

confidence: 99%

Information flow along the maritime transport chain - a simulation based approach to determine impacts of estimated time of arrival messages on the capacity utilization

Elbert

Walter

2014

Proceedings of the Winter Simulation Conference 2014

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Various actors are involved in hinterland transportation of incoming rail containers along the maritime transport chain. To coordinate each actor's logistics processes, and therefore to improve utilization of existing transport capacity, the early provision of information, e.g. in form of estimated time of arrival (ETA), is inevitable. The objective of this paper is to determine impacts of these information flows on capacity utilization via a simulation based approach. To simulate the effect of ETA container from vessel to hinterland transport mode rail, a system dynamic simulation model is developed based on a case study about input containers at the port of Hamburg. As result the container output on rail is compared with and without ETA for different container input volumes. It will be shown; managing provision of information in supply chains -such as maritime transport chains -is a valuable approach for increasing existing utilization.

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Section: Integrated Approaches For Interrelated Terminal Problemsmentioning

confidence: 99%

Information flow along the maritime transport chain - a simulation based approach to determine impacts of estimated time of arrival messages on the capacity utilization

Elbert

Walter

2014

Proceedings of the Winter Simulation Conference 2014

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“…In [55], some general guidelines for designing integration approaches for the main container terminal decision problems are provided. The authors concluded that "in-depth research of integration proposals within the seaside and yard area logistical problems is essential to increase and maintain a high productivity as well as produce real-context planning solutions.…”

Section: Integrationmentioning

confidence: 99%

An Integrated Optimization Model for the Multi-Port Stowage Planning and the Container Relocation Problems

Junqueira¹,

Quinones²,

Azevedo³

et al. 2020

Preprint

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This paper introduces a new optimization model that integrates the multi-port stowage planning problem with the container relocation problem. This problem is formulated as a binary mathematical programming model that must find the containers' move sequence so that the number of relocations during the whole journey of a ship, as well as the associated port yards is minimized. Modeling by binary variables to represent the cargo status in a ship and yards makes the problem very complex to be solved by exact methods. To the best of our knowledge, this integrated model has not been developed yet as that such problems are always addressed in a partitioned or hierarchical way. A demonstration of the benefits of an integrated approach is given. The model is solved in two different commercial solvers and the results for randomly generated instances are presented and compared to the hierarchical approach. Two heuristics approaches are proposed to quickly generate feasible solutions for warm-starting the model. Extensive computational tests are performed and the results indicate that the solution approaches can reach optimal solutions for small sized instances and good quality solutions on real-scale based instances within reasonable computation time. This is a promising model to support decisions in

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“…Since the international sea freight trade has undergone a relevant growth over the last few decades (United Nations Conference on Trade And Development, http://www.unctad.org/), maritime container terminals have to better use and schedule their resources in order to efficiently face the operational and technical requirements of shipping companies. In this regard, as indicated by Nicoletti et al [1] and Expósito-Izquierdo et al [2], the time required to serve container vessels, since their arrival until their departure, is the most representative indicator used by the shipping companies when assessing the competitiveness of a given maritime container terminal. Moreover, the faster these tasks are made, the earlier the containers are available for withdrawal by the corresponding companies, and therefore there will be a better management of the whole terminal (Yeo [3]).…”

Section: Introductionmentioning

confidence: 99%

Migrating Birds Optimization for the Seaside Problems at Maritime Container Terminals

Lalla-Ruiz

Expósito‐Izquierdo

Armas

et al. 2015

Journal of Applied Mathematics

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Sea freight transportation involves moving huge amounts of freights among maritime locations widely spaced by means of container vessels. The time required to serve container vessels is the most relevant indicator when assessing the competitiveness of a maritime container terminal. In this paper, two main logistic problems stemming from the transshipment of containers in the seaside of a maritime container terminal are addressed, namely, the Berth Allocation Problem aimed at allocating and scheduling incoming vessels into berthing positions along the quay and the Quay Crane Scheduling Problem, whose objective is to schedule the loading and unloading tasks associated with a container vessel. For solving them, two Migrating Birds Optimization (MBO) approaches are proposed. The MBO is a recently proposed nature-inspired algorithm based on the V-formation flight of migrating birds. In this algorithm, a set of solutions of the problem at hand, called birds, cooperate among themselves during the search process by sharing information within a V-line formation. The computational experiments performed over well-known problem instances reported in the literature show that the performance of our proposed MBO approaches is highly competitive and presents a better performance in terms of running time than the best approximate approach proposed in the literature.

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Optimization of Container Terminal Problems: An Integrated Solution Approach

Cited by 4 publications

References 20 publications

Information flow along the maritime transport chain - a simulation based approach to determine impacts of estimated time of arrival messages on the capacity utilization

Information flow along the maritime transport chain - a simulation based approach to determine impacts of estimated time of arrival messages on the capacity utilization

An Integrated Optimization Model for the Multi-Port Stowage Planning and the Container Relocation Problems

Migrating Birds Optimization for the Seaside Problems at Maritime Container Terminals

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