Mathematics
 

Authors

Xianglin Kong

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Description

Xianglin Kong, Applied Mathematics
Faculty Mentor: Professor Joaquin Carbonara, Mathematics


Transportation rates are involved in the management of almost all large enterprises, and they are an important part of cost considerations. Calculating and forecasting transportation rates can play an important role in the future planning of an enterprise. The development of enterprises has put forward higher requirements for logistics, distribution and cargo storage, which requires the establishment of more advanced and scientific distribution center solutions. In this project, we use Python, the historical data of the enterprise, and established various models to calculate the transport rate and accurately depict transportation rates in new regions. My project focuses on less than truckload (LTL) transportation mode and analyzes the relationship between each factor to draw formulas. The parameters of the models were determined and compared. Then the model with the best fits was found and corresponding predictions were made.

Publication Date

2020

Disciplines

Physical Sciences and Mathematics

Analysis of Transportation Rates of New Markets
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