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    Item type:Publication, Access status: with files ,
    Influence of TAS’ characteristics on the related drayage network
    (ARGESIM, 2019)
    Lange, Ann-Kathrin
    ;
    Kühl, Kristof Ole
    ;
    Schwientek, Anne Kathrina
    ;
    Jahn, Carlos
    Truck drayage transports in the port connect container terminals with other logistics nodes as empty container depots, freight stations or customs stations. Due to the large proportion of drayage transports in the overall truck arrivals at container terminals and their relatively high costs in the maritime transport chain, drayage transports have high importance in port processes. To reduce peaks in truck arrivals, container terminals more and more often implement truck appointment systems (TAS), which require trucking companies to book specific time windows for handling prior to their transports. Besides on their impact on the container terminals, these TAS also effect the other stakeholders in the drayage network, which has been neglected in scientific studies so far. This study aims to analyze the effect of TAS capacity and utilization on the arrival times at other logistics nodes as well as on the number of successfully executed orders per truck.
    Publicationtype: Journal Article
      268  150
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    Item type:Publication, Access status: with files ,
    Development of a container terminal simulation ontology
    (ARGESIM, 2014)
    Lange, Ann-Kathrin
    ;
    Pirovano, Giovanni
    ;
    Pozzi, Rosella
    ;
    Rossi, Tommaso
    This article introduces a simulation ontology to support terminal planers, operator and managers in the design and management of seaport container terminals. Due to the increasing requirements of shipping companies regarding efficiency, quality and price for the handling processes at container terminals, the use of integrated approaches for improving the performance has grown significantly. Simulation, which has proven highly benefi-cial in production and logistics, represents an adequate tool to deal with complex systems like container terminals. However, building simulation models requires much time and simulation software know-how. To counteract this effect, this article presents a simulation ontology of seaport container terminals, which supports the user in building specific simulation models. Since the simulation model is automatically created through the ontology framework, neither the personnel skills nor the time available to build the simulation model represent significant hurdles. Furthermore, the proposed ontology can dramatically reduce the time required to test a specific configuration of a container terminal and/or a particular management policy. The ontology framework consists of a user interface with database, where the user can specify elements and their parameters, an atom library representing all elements of the system and software application, which is used to automatically build the simulation model.
    Publicationtype: Journal Article
      110  220