989 resultados para Container terminal


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Net metering is generally a consumer-based incentive for renewable sources such as wind or solar power systems also referred to as dasiacogenerationdasia. It is still a grey area for container terminals with large electric machines, such as quay cranes, automatic stacking cranes, that can operate in the regenerative mode and export electric energy to the grid. With actual measured electrical data presented for discussion, this paper provides information for the readers to provide a better understanding of their access to net metering, ultilizing their electrical equipment capabilities and be informed for their next negotiation with the power supply company.

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The electrical usage and demand at container terminal were studied for two years. The results provide a technique for calculating the maximum demand at container terminal with a more accurate result, leading to a substantial saving both in capital cost for electrical infrastructure investment and ongoing electricity costs.

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This paper is concerned with the study of non-Markovian queuing systems in container terminals. The methodology presented has been applied to analyze the ship traffic in the port of Valencia located in the Western Mediterranean. Two container terminals have been studied: the public container terminal of NOATUM and the dedicated container terminal of MSC. This paper contains the results of a simulation model based on queuing theory. The methodology presented is found to be effective in replicating realistic ship traffic operations in port as well as in conducting capacity evaluations. Thus the methodology can be used for capacity planning (long term), tactical planning (medium term) and even for the container terminal design (port enlargement purposes).

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L’affermazione del trasporto containerizzato verificatasi negli ultimi decenni ha determinato una profonda rivoluzione nell’ambito del trasporto marittimo internazionale. L’unitizzazione dei carichi e l’innovazione tecnologica dei mezzi utilizzati per il trasporto e la movimentazione consentono oggi di gestire ingenti volumi di traffico in tempi rapidi e con costi relativamente contenuti. L’utilizzo di unità standard ha inoltre reso possibile lo sviluppo del trasporto intermodale e la realizzazione di catene logistiche complesse. In questa tesi sono state analizzate le problematiche relative alla gestione delle operazioni che vengono svolte all’interno dei terminal container, i nodi fondamentali del trasporto intermodale. In particolare è stato studiato il caso del nuovo Terminal Container del Porto di Ravenna. Trattandosi di un terminal ancora in fase di progettazione, sono state applicate delle metodologie che consentono di effettuare una valutazione preliminare di quelle che potrebbero essere le potenzialità del nuovo terminal. In primo luogo sono stati determinati il throughput potenziale del terminal, in funzione delle aree di stoccaggio e della capacità operativa della banchina, e il numero medio di mezzi necessari alla movimentazione di tale volume di traffico annuo. Poi si è proceduto all’applicazione di modelli analitici specifici per la valutazione delle performance dell’equipment del terminal. I risultati ottenuti sono stati infine utilizzati per lo studio delle interazioni tra i sub-sistemi principali del terminal attraverso la teoria delle code, allo scopo di valutarne il livello di servizio e individuare eventuali criticità.

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A Multimodal Seaport Container Terminal (MSCT) is a complex system which requires careful planning and control in order to operate efficiently. It consists of a number of subsystems that require optimisation of the operations within them, as well as synchronisation of machines and containers between the various subsystems. Inefficiency in the terminal can delay ships from their scheduled timetables, as well as cause delays in delivering containers to their inland destinations, both of which can be very costly to their operators. The purpose of this PhD thesis is to use Operations Research methodologies to optimise and synchronise these subsystems as an integrated application. An initial model is developed for the overall MSCT; however, due to a large number of assumptions that had to be made, as well as other issues, it is found to be too inaccurate and infeasible for practical use. Instead, a method of developing models for each subsystem is proposed that then be integrated with each other. Mathematical models are developed for the Storage Area System (SAS) and Intra-terminal Transportation System (ITTS). The SAS deals with the movement and assignment of containers to stacks within the storage area, both when they arrive and when they are rehandled to retrieve containers below them. The ITTS deals with scheduling the movement of containers and machines between the storage areas and other sections of the terminal, such as the berth and road/rail terminals. Various constructive heuristics are explored and compared for these models to produce good initial solutions for large-sized problems, which are otherwise impractical to compute by exact methods. These initial solutions are further improved through the use of an innovative hyper-heuristic algorithm that integrates the SAS and ITTS solutions together and optimises them through meta-heuristic techniques. The method by which the two models can interact with each other as an integrated system will be discussed, as well as how this method can be extended to the other subsystems of the MSCT.

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The use of containers have greatly reduced handling operations at ports and at all other transfer points, thus increasing the efficiency and speed of transportation. This was done in an attempt to cut down the cost of maritime transport, mainly by reducing cargo handling and costs, and ships' time in port by speeding up handling operations. This paper discusses the major factors influencing the transfer efficiency of seaport container terminals. A network model is designed to analyse container progress in the system and applied to a seaport container terminal. The model presented here can be seen as a decision support system in the context of investment appraisal of multimodal container terminals. (C) 2000 Elsevier Science Ltd.

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This thesis develops an operational decision support tool for container terminal managements. The tool generates efficient schedules for shore cranes handling containers carried by mega container vessels.

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Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Mecânica - Ramo Manutenção e Produção

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The electrical data of two quay cranes, one has a DC drive system and the other has an AC drive system, in actual working conditions at a container terminal are measured and presented in this paper. Peak demand, energy usage, power factor and power quality are examined and compared.

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This issue of the FAL Bulletin shows productivity trends at container terminals in Latin America and the Caribbean during the period from 2005 to 2013, comparing them to the trend of earlier years (2000 to 2004). One of the conclusions of the study is that most terminals in the region have improved their quay productivity in recent years, although there are large differences between the three container terminal size categories analysed. However, the author identifies a number of challenges still to be met at the region’s ports.

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This paper empirically evaluates container terminal service attributes. The methodology proposed focuses on statistical control. Based on the concept of service segmentation, the authors employed control charts to classify container terminal services. The purpose of control charts is to allow simple detection of events that are indicative of actual process change. This simple decision can be difficult where the process characteristic is continuously varying, the control chart provides statistically objective criteria of change. When change is detected and considered good its cause should be identified and possibly become the new way of working, where the change is bad then its cause should be identified and eliminated. Both theoretical and practical implications of the research findings are discussed in this paper.

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This paper empirically evaluates container terminal service attributes. The methodology proposed focuses on statistical control. Based on the concept of service segmentation, we employed control charts to classify container terminal services. The purpose of control charts is to allow simple detection of events that are indicative of actual process change. This simple decision can be difficult where the process characteristic is continuously varying; the control chart provides statistically objective criteria of change. When change is detected and considered good its cause should be identified and possibly become the new way of working, where the change is bad then its cause should be identified and eliminated. This paper is organized as follows: Section 1 is the introduction, Section 2 provides a brief note on other studies that inspired this research, section 3 focuses on the methodology used, and develops the results obtained and finally conclusions are shown in Section 4. Theoretical and practical implications of the research findings are discussed.