| dc.description.abstract | The production and distribution of fresh fruits in Vietnam, particularly durians, are
significantly influenced by geographical and climatic conditions, leading to regional
and seasonal variations. This study addresses the logistical challenges faced by durian
farmers in Cam My, Dong Nai Province, where the high demand for durians in northern
Vietnam requires efficient long-distance transportation solutions. The current reliance
on road transport results in high logistics costs and extended delivery times. To mitigate
these issues, this research explores the use of multimodal transportation to optimize
cost and efficiency. A Mixed-Integer Linear Programming (MILP) model was
developed to identify the optimal warehouse location and the most cost-effective
multimodal transportation routes. Additionally, the study examines the effectiveness of
Greedy, Genetic Algorithm (GA), and Artificial Bee Colony (ABC) methods in solving
the Location Routing Problem (LRP) on a multimodal transportation network. The
findings indicate that multimodal transportation can significantly reduce logistics costs
and improve delivery efficiency. The remarkable efficiency of heuristics and meta heuristics applied to this problem is also highlighted. Future research should consider
more complex LRP configurations, incorporate dynamic demand scenarios, and
explore additional transportation modes, such as river transport, to further enhance the
logistics network | en_US |
