Quayside Operations Planning Under Uncertainty

Cagatay Iris, Jian Gang Jin, Der-Hong Lee

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    Abstract

    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
    EventEuropean conference for Operational Research 2015 - University of Strathclyde, Glasgow, United Kingdom
    Duration: 12 Jul 201515 Jul 2015

    Conference

    ConferenceEuropean conference for Operational Research 2015
    LocationUniversity of Strathclyde
    CountryUnited Kingdom
    CityGlasgow
    Period12/07/201515/07/2015

    Cite this

    Iris, C., Jin, J. G., & Lee, D-H. (2015). Quayside Operations Planning Under Uncertainty. Abstract from European conference for Operational Research 2015, Glasgow, United Kingdom.