Bibliographic citations
Escalante, L., (2020). Propuesta de un modelo predictivo ajustado al proceso de molienda y su efecto en la rentabilidad económica para una empresa procesadora de arroz [Tesis, Universidad Privada del Norte]. https://hdl.handle.net/11537/24211
Escalante, L., Propuesta de un modelo predictivo ajustado al proceso de molienda y su efecto en la rentabilidad económica para una empresa procesadora de arroz [Tesis]. PE: Universidad Privada del Norte; 2020. https://hdl.handle.net/11537/24211
@misc{sunedu/4104719,
title = "Propuesta de un modelo predictivo ajustado al proceso de molienda y su efecto en la rentabilidad económica para una empresa procesadora de arroz",
author = "Escalante Correa, Luis Fernando Augusto",
publisher = "Universidad Privada del Norte",
year = "2020"
}
The main objective of this research was to demonstrate the effect of the implementation of a predictive model adjusted to the grinding process on the economic profitability of a rice milling company. In the first instance, the quality and production area database was used to model a multiple regression equation, using the Step-by-Step technique in Minitab 19, resulting in: Actual Performance = 0.001 + 0.9317Hest Analysis - 0.000339 Processed Sacks; Predictive R2 = 95.81% and PRESS = 47.5168; concluding that the model fits the process, is significant and has good predictive capacity. The regression equation was then simulated with Monte Carlo by analyzing probabilities and ranges in M.S. Excel 19, earning operational revenue amounting to S/. 3,263,787.74 corresponding to an improvement of 3.94% compared to 2019, thus improving the company's economic profitability to 9.34% in Net Profit Margin and 15.92% in the ROA. Finally, the financial analysis of the project was carried out obtaining a Financial Van of S/. 284,307.56, a Financial TIR of 133% and a Profit-Cost of S/.1.10, so the investment proposal is viable for the company.
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