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dc.contributor.advisorHa, Thi Xuan Chi
dc.contributor.authorPhan, Chau Anh
dc.date.accessioned2025-02-13T04:30:34Z
dc.date.available2025-02-13T04:30:34Z
dc.date.issued2024
dc.identifier.urihttp://keep.hcmiu.edu.vn:8080/handle/123456789/6515
dc.description.abstractHealthcare waste (HCW) is a unique type of waste produced during the delivery of healthcare services, potentially containing infectious or harmful substances. Managing this waste involves its transportation from healthcare facilities to treatment centers, which poses risks to both humans and the environment if not handled carefully. To ensure the safe management of HCW, this article proposes a fresh approach to its transportation. This approach involves segregating hazardous and non-hazardous waste during transit. The proposed model is based on the Multi-compartment Vehicle Routing Problem, where each type of waste is allocated to dedicated compartments with the objective of minimizing overall transportation costs. An adaptive Genetic Algorithm is utilized. The approach involves creating multiple real-world examples of varying sizes to address the issue, which is then resolved using the Python. Following this, various scenarios are contrasted, and the practical consequences are analyzed through sensitivity analysis on demand parameters.en_US
dc.language.isoenen_US
dc.subjectMCVRPen_US
dc.subjectHealth-care wasteen_US
dc.subjectGenetic Algorithmen_US
dc.subjectPythonen_US
dc.titleVehicle Routing Problem For The Health-Care Waste Transportation A Case Study Of Citenco Vietnamen_US
dc.typeThesisen_US


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