Simulator design that identifies key variables and their impact on chayote production

Authors

DOI:

https://doi.org/10.20983/culcyt.2023.2.2e.6

Keywords:

agroindustria, dinámica de sistemas, pronósticos, cadena de suministro, chayote

Abstract

This article is a case study developed in an agro-industrial company that produces chayote, where a forecast simulation model that serves as support to estimate the yield of the orchards as well as their decline is developed. The model also helps to evaluate the customer satisfaction degree due to the delivery of their orders. Key variables of the chayote supply chain were analyzed, such as: weather conditions, losses, planted area, average yield per hectare, export rates and contracts entered into with customers. In this way, the company will be able to take timely supply measures and consider other producers to be its suppliers, fulfill customer orders and thus increase its satisfaction percentage. For the model development, the System Dynamics methodology was used. The company validated the model and subsequently it was given a graphical interface that allows the manipulation of certain variables to understand how they affect the chayote production process through a series of key performance indicators.

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Author Biographies

Héctor Daniel García Castro, Tecnológico Nacional de México Campus Orizaba

Estudiante de Doctorado en Ciencias de la Ingeniería, Tecnológico Nacional de México Campus Orizaba

Cuauhtémoc Sánchez Ramírez, Tecnológico Nacional de México Campus Orizaba

Profesor-Investigador, División de Estudios de Posgrado e Investigación, Tecnológico Nacional de México Campus Orizaba

Magno Ángel González Huerta, Tecnológico Nacional de México Campus Orizaba

Coordinador Académico, División de Estudios de Posgrado e Investigación, Tecnológico Nacional de México Campus Orizaba

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Published

2023-08-31

How to Cite

García Castro, H. D., Sánchez Ramírez, C., & González Huerta, M. Ángel. (2023). Simulator design that identifies key variables and their impact on chayote production. Cultura Científica Y Tecnológica, 20(2), E47-E54. https://doi.org/10.20983/culcyt.2023.2.2e.6

Issue

Section

Edición especial "IWIELF 2022"