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dc.contributor.advisorNguyen, Van Hop
dc.contributor.authorLe, Thi Thuong Huyen
dc.date.accessioned2025-02-13T05:18:17Z
dc.date.available2025-02-13T05:18:17Z
dc.date.issued2024
dc.identifier.urihttp://keep.hcmiu.edu.vn:8080/handle/123456789/6524
dc.description.abstractIn response to the growing competitiveness of transport modes via terminals, managers find ways to enhance their performance. Considering coordination of three container handling equipment, includes quay cranes, yard cranes, and yard trucks is one approach to improve the operational effectiveness. This research focuses on integrating the scheduling of each individual handling equipment within the container terminal to minimize the makespan during the unloading process. A Mixed-Integer Programming (MIP) model was developed to address this small-scale scheduling problem. Meanwhile, an adaptive of a Red Fox Optimization was devised by adjusting parameters to obtain approximately optimal solutions with large instances. Experiments were carried out for both small-scale and large-scale problems to evaluate the effectiveness of this integrating within the unloading process on completion and computation times.en_US
dc.language.isoenen_US
dc.subjectAdapttive Red Fox Optimizationen_US
dc.subjectScheduling Problemen_US
dc.subjectContainer terminalen_US
dc.subjectMixed Integer Programmingen_US
dc.titleIntegrated Quay Crane - Yard Crane - Yard Truck Using Adaptive Red Fox Algorithmen_US
dc.typeThesisen_US


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