| dc.description.abstract | Multimodal transport has become a familiar and essential concept in the industrial economy,
highlighting the crucial role of transportation in fostering international cooperation and economic
development. Consequently, transportation should be recognized as a distinct and significant
industry. Various strategies have been proposed to optimize this field effectively.
The complexity of multimodal transport arises from multiple components, including time, vehicle
modes, routes, and costs, each requiring specific solutions known as sub-problems. This
complexity necessitates the use of Dynamic Programming, the chosen method for this study. To
develop an optimal plan for international shipments, operators must present customers with the
best options considering time-based vehicle modes, carrier lines, schedules, and costs, including
fuel, harbor, insurance, and taxes.
The challenge extends beyond merely selecting the cheapest and shortest path; it requires a flexible
integration of all these components. The findings and recommendations from this thesis could offer
valuable, practical guidance for industry operators. | en_US |
