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dc.contributor.advisorHo Thi Thu, Hoa
dc.contributor.authorNguyễn Anh, Thi
dc.date.accessioned2024-03-27T01:30:13Z
dc.date.available2024-03-27T01:30:13Z
dc.date.issued2023
dc.identifier.urihttp://keep.hcmiu.edu.vn:8080/handle/123456789/5447
dc.description.abstractThis research study aims to develop and optimize a reverse logistics system in Viettel Post, specifically focusing on improving simultaneous pickup and delivery (SPD) operations. The main objective is to enhance the efficiency and effectiveness of the system by employing various methodologies and techniques. The proposed approach incorporates the use of a genetic algorithm (GA) to optimize routing and scheduling for SPD, with the goal of reducing transportation costs. Additionally, the Supply Chain Operations Reference (SCOR) model, the Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS), and the Fuzzy Analytic Hierarchy Process (FAHP) are employed to evaluate the proposed solution. In this study, the traditional use of discrete-event simulation methodology has been replaced with the utilization of the K-means algorithm to define clusters for better management. By categorizing regions based on specific criteria, decision-making and resource allocation can be more efficient and targeted. The research methodology incorporates a comprehensive literature review, expert opinions, and a case study based on real-world data from Viettel Post. This mixed method approach ensures a robust analysis of the reverse logistics system, considering both theoretical insights and practical implications. The findings demonstrate that the proposed approach significantly improves the efficiency and effectiveness of reverse logistics operations in Viettel Post. The utilization of GA for SPD leads to a substantial reduction in transportation costs, while the integration of SCOR, TOPSIS, and FAHP enables a comprehensive evaluation of the proposed solution's performance. This study contributes to the body of knowledge by offering insights into the development and optimization of reverse logistics systems. The integration of GA, SCOR, TOPSIS, and FAHP provides a promising framework for enhancing transportation efficiency, reducing costs, and improving service quality. These findings have implications not only for Viettel Post but also for other logistics companies seeking to enhance their reverse logistics operations.en_US
dc.language.isoenen_US
dc.subjectReverse logisticsen_US
dc.subjectK-means algorithmen_US
dc.subjectgenetic algorithmen_US
dc.titleEnhancing Reverse Logistics Operation In Viettel Post: An Integrated Genetic Algorithm Approach For Cost Reduction And Service Efficiencyen_US
dc.typeThesisen_US


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