79 research outputs found

    A satellite navigation system to improve the management of intermodal drayage

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    The intermodal transport chain can become more efficient by means of a good organization of the drayage movements. Drayage in intermodal container terminals involves the pick up or delivery of containers at customer locations, and the main objective is normally the assignment of transportation tasks to the different vehicles, often with the presence of time windows. The literature shows some works on centralised drayage management, but most of them consider the problem only from a static and deterministic perspective, whereas the work we present here incorporates the knowledge of the real-time position of the vehicles, which permanently enables the planner to reassign tasks in case the problem conditions change. This exact knowledge of position of the vehicles is possible thanks to a geographic positioning system by satellite (GPS, Galileo, Glonass), and the results show that this additional data can be used to dynamically improve the solution

    Dynamic approach to solve the daily drayage problem with travel time uncertainty

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    The intermodal transport chain can become more e cient by means of a good organization of drayage movements. Drayage in intermodal container terminals involves the pick up and delivery of containers at customer locations, and the main objective is normally the assignment of transportation tasks to the di erent vehicles, often with the presence of time windows. This scheduling has traditionally been done once a day and, under these conditions, any unexpected event could cause timetable delays. We propose to use the real-time knowledge about vehicle position to solve this problem, which permanently allows the planner to reassign tasks in case the problem conditions change. This exact knowledge of the position of the vehicles is possible using a geographic positioning system by satellite (GPS, Galileo, Glonass), and the results show that this additional data can be used to dynamically improve the solution

    A viral system to optimise the daily drayage problem

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    The intermodal transport chain can become more efficient by means of a good organisation of the drayage movements. Drayage in intermodal container terminals involves the pick up or delivery of containers at customer locations, and the main objective is normally the assignment of transportation tasks to the different vehicles, often with the presence of time windows. This paper focuses on a new approach to tackle the daily drayage problem by the use of viral system (VS). VS is a novel bio-inspired approach that makes use of a virus-infection biological analogy that is producing very satisfactory results when dealing with complex problems with huge feasibility region.Unión Europea TEC2013-47286-C3-3-

    The Dynamic Improvement of Vehicle Routing: Reoptimization Events

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    Acta congreso: http://www.insisoc.org/CIO2013/es/documentacion/BOOK%20OF%20PROCEEDINGS%207th%20INTERNATIONAL%20CONFERENCE%20ON%20INDUSTRIAL%20ENGINEERING%20AND%20INDUSTRIAL.pdfThe static environments of optimization are not efficient when there is Uncertainty. The vehicle routing is a common case of it. For example, there usually is uncertainty in the transit time due to the congestion, traffic jam, etc. Dynamic optimization has been more efficient in these environments. To determinate when a reoptimization have to be run is fundamental.Los entornos estáticos de optimización no son todo lo eficientes que se esperaría en situaciones donde existe incertidumbre. El rutado de vehículos es una caso común donde existe incertidumbre, por ejemplo en el tiempo de tránsito, motivado principalmente por los diferentes niveles de congestión existentes. La reoptimización dinámica se ha mostrado más eficaz en este tipo de sistemas. Determinar en que momentos realizar la reoptimización es fundamental en la eficiencia de este tipo de sistemas

    The Dynamic Improvement of Vehicle Routing: Reoptimization Events

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    Acta congreso: http://www.insisoc.org/CIO2013/es/documentacion/BOOK%20OF%20PROCEEDINGS%207th%20INTERNATIONAL%20CONFERENCE%20ON%20INDUSTRIAL%20ENGINEERING%20AND%20INDUSTRIAL.pdfThe static environments of optimization are not efficient when there is Uncertainty. The vehicle routing is a common case of it. For example, there usually is uncertainty in the transit time due to the congestion, traffic jam, etc. Dynamic optimization has been more efficient in these environments. To determinate when a reoptimization have to be run is fundamental.Los entornos estáticos de optimización no son todo lo eficientes que se esperaría en situaciones donde existe incertidumbre. El rutado de vehículos es una caso común donde existe incertidumbre, por ejemplo en el tiempo de tránsito, motivado principalmente por los diferentes niveles de congestión existentes. La reoptimización dinámica se ha mostrado más eficaz en este tipo de sistemas. Determinar en que momentos realizar la reoptimización es fundamental en la eficiencia de este tipo de sistemas

    The one container drayage problem with soft time windows

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    Intermodal freight transport consists of using different modes of transport without changing the load unit. This results in a significant reduction in the time that goods spend at intermodal terminals, where transshipment takes place. Drayage refers to the transport of freight on trucks among intermodal terminals, depots, customers and suppliers. In spite of the fact that drayage only represents between 5 and 10 percent of total distance, it may amount up to more than 30 percent of the total costs. The aim of this work is to study drayage operations. First, an extensive literature review is undertaken. Since the intermodal transport chain can become more efficient by means of a proper organisation of the drayage movements, the optimization of the daily drayage problem has been identified as one of the main ways of reducing the drayage cost and improving intermodal operations. On this problem, the lack of a common benchmark has hindered reaching further conclusions from all the research carried out. Therefore, this paper proposes a common framework and presents a generalized formulation of the problem, which allows modeling most drayage policies, with the limitation of only considering one-container problems. Results show that flexible tasks in the repositioning of empty containers as well as soft time windows can reduce the operating costs and facilitate the management of drayage companies. This work may help consider adequate policies regarding drayage operations in intermodal terminals

    Smart ICTs for the enhancement of traffic logistics in the Port of Seville

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    Las ponencias del congreso pueden descargarse desde: http://www.pianc.org.ar/_stage/papers_in.phpThis paper focuses in the optimization of intermodal transport by the development of a freight geolocation and telecontrol platform for intermodal transport. This system, Cooperative Unitized Tracking System (CUTS), is being developed under the project TECNOPORT2025, which is an initiative of the Port Authority of Seville (PAS), co-funded by the European Commission by means of the ERDF (European Region Development Funds), under the Pre-commercial Public Procurement model aiming the “Port of Future”

    Information technology application in intermodal terminal management

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    Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.Page 125 blank.Includes bibliographical references (p. 119-124).by Ying Zhu.S.M
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