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Dynamic adjustment of container stacking policy in an automated container terminal

Dynamic adjustment of container stacking policy in an automated container terminal,10.1016/j.ijpe.2010.03.024,International Journal of Production Econ

Dynamic adjustment of container stacking policy in an automated container terminal   (Citations: 2)
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The decision for good stacking positions for incoming containers in an automated container terminal is an important operational problem because it affects the productivity not only for stacking but also for later retrieval. This paper proposes an online search algorithm which dynamically adjusts and optimizes a stacking policy by continuously generating variants of stacking policies and evaluating them while they are actually being applied for determining the stacking positions. Simulation experiments show that the proposed algorithm is effective in enhancing the operational productivity, while other offline optimization methods are computationally infeasible to be applied to this problem.
Journal: International Journal of Production Economics - INT J PROD ECON , vol. 133, no. 1, pp. 385-392, 2011
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    • ...A very recent paper on stacking import containers is from Park et al. (2011), who use a dynamic updating policy in their simulation to determine the best stacking position of an incoming container based on several criteria, like travel time, crane utilisation, etc...

    Eelco van Asperenet al. Evaluating impact of truck announcements on container stacking efficie...

    • ...However, most of them are not applicable to automated container terminals (ACTs), because the operational characteristic of ACTs is quite different from that of conventional terminals [6]...
    • ...Previous work [6] took into account many such criteria simultaneously to determine an optimal stacking position by getting the sum of the weighted evaluation values of those criteria, and used an online search algorithm which dynamically adjusts the stacking policy represented as a vector of the weight values...

    Taejin Parket al. Optimizing stacking policies using an MOEA for an automated container ...

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