Mathematical model in the optimization of the cost of heavy agricultural cargo transportation

Abstract

This work aimed to design a mathematical model to optimize the cost of heavy agricultural load transport using linear programming. The model was based on studying fixed and variable costs, including distance, cargo volume, arrival and departure times, lubricants, fuels, and other variables that influence transport pricing. The work had a quantitative approach, descriptive type, and its design of the non-experimental character with a cross-section. The methods were used, inductive, deductive, and systemic. For the collection of information, the survey was used as a technique and the questionnaire as an instrument, evidencing that most carriers do not know the calculation of the actual cost of transport, thus visualizing the need for a mathematical model in cost optimization, an achievement validated in the WINQSB program (Network Modeling Module).