| dc.description.abstract | This dissertation uses multimodal transporting methodologies to discover the objective of
cost-optimal transporting within the context of Ford, a Vietnamese automaker. The major
goal is to generate a network transporting design of an efficient model that mildly overall
transportation cost. The thesis tackles optimal supply chain systems from the viewpoint of
a multimodal logistics provider and uses a mathematical model called Mixed Integer Linear
Programming (MILP) for multilevel cost optimization. The optimal criterion considers
several variables, including transportation, distribution, production, distribution costs,
environmental expenses, timing, volume, capacity, and means of transportation. The model
is considered using the CPLEX program, and numerical tests are brought with sample data
to show the possible positives of supply chain optimization and making decision support.
The findings and comments of multiple experiments are included in the dissertation, along
with a single implementation process. It also pays for the company's overseas logistics
shipping expenses. Moreover, an approach to programming engines so that gaining the best
possible mix of transport modalities is suggested. Lastly, an experimental investigation is
carried out to demonstrate the applicability and efficiency of the suggested paradigm. It is
well acknowledged that multimodal freight transport plays a significant role in national
transportation, fostering international cooperation and economic development. In order to
draw in investors and companies looking for superior services, the transportation sector
needs to be considered a separate industry. It takes more than just figuring out the quickest
and most economical path to complete the assignment; all the parts must be flexibly
integrated | en_US |
