5,531 research outputs found

    Analytical methods and simulation models to assess innovative operational measures and technologies for rail port terminals: the case of Valencia Principe Felipe terminal

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    The topic of freight transport by rail is a complex theme and, in recent years, a main issue of European policy. The legislation evolution and the White Paper 2011 have demonstrated the European intention to re-launch this sector. The challenge is to promote the intermodal transport system to the detriment of road freight transport. In this context intermodal freight terminals, play a primary role for the supply chain, they are the connection point between the various transport nodes and the nodal points where the freight are handled, stored and transferred between different modes to final customer. To achieve the purpose, it is strengthen the improvement of existing intermodal freight terminals and the development of innovative intermodal freight terminals towards higher performance (ERRAC, 2012). Many terminal performances improvements have been proposed and sometime experimented. They are normally basing on combinations of operational measures and innovative technologies (e.g. automatic horizontal and parallel storage and handling, automated gate and sensors for tracking systems data exchange) tested in various terminals, with often-contradictory results. The research work described in this paper (developed within the Capacity4Rail EU project) focusses on the assessment of effects that these innovations can have in the intermodal freight terminals combined in various alternative consistent effective scenarios. The methodological framework setup to assess these innovations is basing on a combination of analytical methods based on sequential algorithms and discrete events simulation models. The output of this assessment method are key performance indicators (KPIs) selected according to terminals typologies and related to different aspects (e.g. management, operation and organization). The present paper illustrates the application of the methodological framework, tuned on the operation of various intermodal terminals, for the validation on today operation and the assessment of possible future scenarios to the case study of the Principe Felipe sea-rail terminal in Valencia

    Strategies for dynamic appointment making by container terminals

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    We consider a container terminal that has to make appointments with barges dynamically, in real-time, and partly automatic. The challenge for the terminal is to make appointments with only limited knowledge about future arriving barges, and in the view of uncertainty and disturbances, such as uncertain arrival and handling times, as well as cancellations and no-shows. We illustrate this problem using an innovative implementation project which is currently running in the Port of Rotterdam. This project aims to align barge rotations and terminal quay schedules by means of a multi-agent system. In this\ud paper, we take the perspective of a single terminal that will participate in this planning system, and focus on the decision making capabilities of its intelligent agent. We focus on the question how the terminal operator can optimize, on an operational level, the utilization of its quay resources, while making reliable appointments with barges, i.e., with a guaranteed departure time. We explore two approaches: (i) an analytical approach based on the value of having certain intervals within the schedule and (ii) an approach based on sources of exibility that are naturally available to the terminal. We use simulation to get insight in the benefits of these approaches. We conclude that a major increase in utilization degree could be achieved only by deploying the sources of exibility, without harming the waiting time of barges too much

    Simulation Modeling and Analysis of Complex Port Operations with Multimodal Transportation

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    AbstractWorld trade has been increasing dramatically in the past two decades, and as a result containers exchange has grown significantly. Accordingly, container terminals are expanding to meet this increase and new container ports have opened. Ports with one or more container terminals are considered complex systems in which many resources, entities and transporters interact to achieve the objective of safely moving containers delivered by ships inland as well as loading containers delivered by trucks and rail onto ships. Ports with multimodal transportation systems are in particular complex as they typically operate with ships arriving to one or more terminals, multiple quay cranes, rubber tyred gantry cranes, trains, and trucks delivering containers of different types to terminals.With several resources of different types working and interacting, the system can be so complex that it is not easy to predict the behavior of the system and its performance metrics without the use of simulation. In this paper, a generic discrete-event simulation that models port operations with different resource types including security gates, space, rubber tyred gantry cranes, trains, quay cranes, and arriving and departing ships, trucks, and trains is presented. The analysis will entail studying various scenarios motivated by changes in different inputs to measure their impact on the outputs that include throughput, resource utilization and waiting times

    Simulation model to determine ratios between quay, yard and intra-terminal transfer equipment in an integrated container handling system

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    This paper presents a generic simulation model to determine the equipment mix (quay, yard and intra-terminal transfer) for a Container Terminal Logistics Operations System (CTLOS). The simulation model for the CTLOS, a typical type of discrete event dynamic system (DEDS), consists of three sub-models: ship queue, loading-unloading operations and yard-gate operations. The simulation model is empirically applied to phase 1 of the Yangshan Deep Water Port in Shanghai. This study considers different scenarios in terms of container throughput levels, equipment utilization rates, and operational bottle-necks, and presents a sensitivity analysis to evaluate and choose reasonable equipment ratio ranges under different operational conditions

    Flexibility in Port Selection: A Quantitative Approach Using Floating Stocks

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    Ports provide a number of logistical choices concerning storage, onward transport, and postponement. We investigatethe routing flexibility offered by ports with a central location with respect to the hinterland. This flexibilityis investigated using an illustrative case in which a number of alternative strategies are evaluated by means ofsimulation. Detailed cost data was used for the illustrative case. The combination of a simulation model anddetailed cost data allows us to quantify the value of the rerouting flexibility. A combination of using regionaldistribution centers and a European Distribution Center results in the lowest cost per container.supply chain;floating stock;intermodal transport;inventories;port selection

    A top-down methodology to calculate the CO2-footprint for terminal operations; the 6-step approach

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    There is an increasing need for green and effective operations at terminals and in port due to existing and upcoming stricter air quality standards and regulations. At the same time there is an increasing awareness of the need to reduce energy consumption of ports and terminals and to focus on the carbon footprint which is dependent not only on equipment and operations, but also the energy mix and the management of energy consumption. This is an important objective for the terminals but also for a wide variety of stakeholders, such as port authorities and transport service clients. Sustainable terminal operations require a good insight in terminal configurations, the use of equipment and the availability of reliable data about the energy consumption on the terminal. This information is in many cases not available for a variety of reasons, such as the very competitive environment and the competition between terminals, sometimes simply because the information is not known. In this deliverable an innovative top-down approach is presented to calculate the CO2-emissions of terminals. This methodology is named ‘the 6-step-approach’. This approach can be considered as an easy applicable tool to get a brief and coherent overview of the total energy consumption of a terminal. The 6-step approach is a standardised methodology which is coherent with CEN standard CEN 16258 “Methodology for calculation and declaration of energy consumption and GHG emissions of transport services (freight and passengers)”. The CEN standard contributes to the standardisation, comprehensiveness, transparency, consistency, generalization and predetermination. __The methodology consists of 6 steps:__ 1- the operations on the terminal (what is actually happening?) 2- the construction of an analytical model of activities 3- the development of an algorithm based on the analytical model 4- application of the model (preferably with real data, presently mostly based on estimations) 5- valorisation of the outcomes of the model 6- policy recommendations In coherence with the consumption scheme based on the GHG Protocol or to ISO 14064 standard and the CEN EN 16258 standard, the methodology concentrates on three domains of energy consumption: the terminal operations and related equipment, the consumption of reefers and the lighting of the yard. These three elements cover more than 95% of all energy consumption at a terminal. An important contribution of the 6-step approach to the port community is the fact that the model delivers outcomes that can function as the basis for tailor made recommendations that cover almost all activities. Therefore the main objective of the tool is that it can function as a benchmark tool for companies, port authorities, E.U., WorldBank/IMF/OECD, etc. (policy investment). Furthermore the application of tool can be considered as a basis for evaluation (rising awareness and motivation to use energy competently and thoughtfully), organizational investments (modifying operations to increase productivity versus energy consumption), technical modification investments (modifying equipment and systems to reduce consumption/increase productivity), technical purchase investments (put new equipment/systems into operation). But overall, the 6-step approach is a source for inspiration, it gives structure to process and the methodology recognizes the new challenges: to apply the model as a a pro-active methodology that addresses the economic (profit), environmental (planet), and social objectives (people) in one coherent strategy. By doing this, the 6-step approach offers an opportunity for cooperation and interaction between the private firms su

    Simulation of novel algorithms to reduce truck congestion at container terminals

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    Efficient managing truck flows has become a challenge for container terminals that have to maintain a high productivity while guaranteeing high service levels to truckers. Moreover, the increasing quantity of cargo to be handled in short time windows introduces congestion and security issues. This paper deals with the definition and simulation of various algorithms implementing a truck management system, with the objective or reducing congestion outside and inside the terminal, so guaranteeing security standards. An extensive simulation campaign has been performed on real data sets provided by an important Italian container terminal, demonstrating the effectiveness of the proposed mathematical approach in reducing terminal congestion and security issues. The designed methodology is general enough to be effectively applied in other container terminals realities located worldwide
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