Quayside Operations Planning Under Uncertainty

Cagatay Iris, Jian Gang Jin, Der-Hong Lee

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    The quayside operation problem is one of the key components in the management system for a container terminal. This work focuses on three important problems that represent a bottleneck on terminal operations: Berth Allocation Problem (BAP), Quay Crane Assignment and Scheduling Problems (QCASP).The state-of-art models mostly rely on forecasted, deterministic vessel arrivals, and they mostly assume that uniform QC operations is maintained. However, in reality, these parameters are mostly random. In this study, we present a stochastic programming approach based on a decomposition algorithm to solve this problem under uncertainty. The preliminary results show that our approach efficiently solves the problem compared to deterministic equivalent formulation.
    Original languageEnglish
    Publication date2015
    Publication statusPublished - 2015
    Event27th European Conference of Operational Research - University of Strathclyde, Glasgow, United Kingdom
    Duration: 12 Jul 201515 Jul 2015
    Conference number: 27


    Conference27th European Conference of Operational Research
    LocationUniversity of Strathclyde
    Country/TerritoryUnited Kingdom
    Internet address


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