Juan Alberto Avalos Reyes, Patricia Mercedes Cepeda Silva, Paul Caceres
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Mathematical model in the optimization of the cost of heavy agricultural cargo transportation
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).
期刊介绍:
Minerva is devoted to the study of ideas, traditions, cultures and institutions in science, higher education and research. It is concerned no less with history than with present practice, and with the local as well as the global. It speaks to the scholar, the teacher, the policy-maker and the administrator. It features articles, essay reviews and ''special'' issues on themes of topical importance. It represents no single school of thought, but welcomes diversity, within the rules of rational discourse. Its contributions are peer-reviewed. Its audience is world-wide.