| 18-11-2024 |
Valuing harvesting technologies rental cost using a simulation approach
Which harvesting technology to use is a crucial decision for farmers, particularly when dealing with perishable products. Renting machinery is customary for many farmers, with costs fluctuating based on the machines’ features, yearly conditions, and the producer's willingness to pay. We plan to employ simulation and decision rules to assess the problem of choosing between different technologies that a wine grape farmer might use when harvesting. Besides the cost differences, the machines behave differently in rainy conditions. The occurrence of rain and its intensity is difficult to predict when the farmer must choose which machine to use. We plan to perform numerical experiments using Monte Carlo simulation to evaluate the use of different technologies and analyze the results to determine how well the proposed approach can consider the operational complexity of harvesting using different types of machines and under uncertain weather conditions.
Keywords:
cosecha
simulación
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |