Show simple item record

dc.contributor.advisorTran, Van Ly
dc.contributor.authorNguyen, Nhu Thien Nha
dc.date.accessioned2024-03-26T09:57:18Z
dc.date.available2024-03-26T09:57:18Z
dc.date.issued2023
dc.identifier.urihttp://keep.hcmiu.edu.vn:8080/handle/123456789/5430
dc.description.abstractThe nation's rice-producing Mekong River Delta (MRD) has contributed to the country's transition from a rice deficit to a major rice surplus economy. Loc Troi Group (LTG) is one of the biggest agricultural manufacturer and supplier in Vietnam and has a strong development in rice production and distribution in almost MRD region. To ship rice orders to local retailers, LTG has currently cooperated with outside logistic companies. However, using outsourced transportation causes indirect controlment and management leading to worse in allocation and coordination of distribution and transport. To solve these problems, the method used in this thesis is the comparison between exact and heuristics algorithms applied to solve multi-depot capacitated vehicle routing problem (MDCVRP). The model is solved by CPLEX Studio IDE 12.8.0 and Python 3.11. The result are feasible routes and more efficient vehicle utilization. The heuristics as the combination of K-means clustering and Clarke and Wright (C&W) algorithm are concluded that works better and faster than exact solution in solving large-scale problem.en_US
dc.language.isoenen_US
dc.subjectRice distributionen_US
dc.subjectMekong River Deltaen_US
dc.subjectClarke and Wright algorithmsen_US
dc.titleMulti-Depots Capacitated Vehicle Routing Problem: A Case Study Of Rice Distribution System In Mekong River Delta Of Loc Troi Groupen_US
dc.typeThesisen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record