Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/226243
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dc.titleOPTIMIZATION MODELS FOR YARD TEMPLATE DESIGN PROBLEMS UNDER UNCERTAINTY
dc.contributor.authorYANG LINGYI
dc.date.accessioned2022-05-31T18:00:46Z
dc.date.available2022-05-31T18:00:46Z
dc.date.issued2021-08-20
dc.identifier.citationYANG LINGYI (2021-08-20). OPTIMIZATION MODELS FOR YARD TEMPLATE DESIGN PROBLEMS UNDER UNCERTAINTY. ScholarBank@NUS Repository.
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/226243
dc.description.abstractThe thesis investigates the yard space allocation problem tactically in order to strike a balance between yard congestion, container handling reshuffles, and land utilisation in an uncertain environment. To determine the cost-optimal space reservation for periodic-visiting vessels and the workload assignment for containers, mixed integer linear programming models are proposed, and efficient algorithms are designed to solve the problems on a large scale. Separately, two types of uncertainties are investigated: the uncertainty in vessel arrival time and the uncertainty in container volume. The importance of considering uncertainty is discussed, and the impact of uncertainties on the efficiency of yard operations is thoroughly examined in order to provide insights for decision makers.
dc.language.isoen
dc.subjectContainer terminal, Yard operation,Yard template, MILP, Robust optimization, Column Generation
dc.typeThesis
dc.contributor.departmentINDUSTRIAL SYSTEMS ENGINEERING & MGT
dc.contributor.supervisorTsan Sheng, Adam Ng
dc.contributor.supervisorLee Loo Hay
dc.description.degreePh.D
dc.description.degreeconferredDOCTOR OF PHILOSOPHY (FOE)
dc.identifier.orcid0000-0003-3582-7019
Appears in Collections:Ph.D Theses (Open)

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