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dc.contributor.advisorDao, Vu Truong Son
dc.contributor.authorBui, Ngoc Hoa Nha
dc.date.accessioned2025-02-13T07:34:50Z
dc.date.available2025-02-13T07:34:50Z
dc.date.issued2024
dc.identifier.urihttp://keep.hcmiu.edu.vn:8080/handle/123456789/6545
dc.description.abstractThe distribution of high-demand products, such as beverages, is the primary focus of this study, which examines the inefficiencies in inventory allocation within GS25's operations in Vietnam. Traditional distribution models are suboptimal, leading to excessive handling costs and inefficient resource use. The research aims to implement a strategic transshipment plan within the GS25 distribution network to optimize inventory management, delivery routes, and vehicle schedules. Using a Constraint Programming (CP) approach and IBM's CPLEX optimization software, the study models complex inventory-routing problems. This methodology integrates constraints related to inventory levels, transportation capacities, vehicle routing, and transshipment planning. The analysis reveals that transshipment as a strategic component can lead to significant cost savings and operational efficiency. Key performance metrics, such as average load capacity utilization and inventory levels, were assessed across various stores and days to highlight areas for improvement. The study concludes with actionable insights to optimize GS25's inventory-routing efficiency, reduce logistics costs, and enhance operational performance. Recommendations for future research include exploring other high-demand products and adapting the model for different retail contexts to further validate the findings.en_US
dc.language.isoenen_US
dc.subjectInventory Managementen_US
dc.subjectConstraint Programmingen_US
dc.subjectTransshipmenten_US
dc.subjectLogistics Optimizationen_US
dc.subjectRetail Efficiencyen_US
dc.titleEnhancing Inventory-Routing Efficiency Through Strategic Transshipment Planning: A Case Study Of Gs25.en_US
dc.typeThesisen_US


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