0000000001210654

AUTHOR

Marco Pisano

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Prediction of arrival times and human resources allocation for container terminal

2011

Increasing competition in the container shipping sector has meant that terminals are having to equip themselves with increasingly accurate analytical and governance tools. A transhipment terminal is an extremely complex system in terms of both organisation and management. Added to the uncertainty surrounding ships’ arrival time in port and the costs resulting from over-underestimation of resources is the large number of constraints and variables involved in port activities. Predicting ships delays in advance means that the relative demand for each shift can be determined with greater accuracy, and the basic resources then allocated to satisfy that demand. To this end, in this article we pro…

Decision support systemdecision support systemArtificial neural networkOperations researchneural networkbusiness.industryComputer scienceEconomics Econometrics and Finance (miscellaneous)resource allocationTransportationcontainer hub planningcontainership arrivals predictionPort (computer networking)Competition (economics)Settore ICAR/05 - TrasportiTerminal (electronics)Container (abstract data type)Resource allocationHuman resourcesbusinesscontainer handling optimisationMaritime Economics & Logistics
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