Modelo de gestión para el abastecimiento de perecederos Agro-frescos evaluado a través de Simulación Montecarlo

This study addresses the design of an agricultural supply chain management model with chain articulation based on the association of Retail Merchants (RM) that distribute fresh agricultural products to the end user through a Central Wholesale Food Center (WFC). The objective is to achieve greater efficiency in the supply operation for this type of food by reducing distances and supply times for each RM, in addition to achieving a balanced load of products handled by each link in the chain. All of this will result in lower prices for the end consumer and increased food security. It also contributes to improving traffic and, therefore, the environmental impact caused by freight transport. The model is validated with a sample of RMs from a Colombian population using the Monte Carlo simulation technique with eight replications. This technique was developed by first defining a 60-day run length equivalent to the average harvest duration in Colombia. Second, an input analysis of the decision variables to be modeled using probabilistic distributions. Finally, a representation of the system's logical operating sequence was performed, thus obtaining a balance analysis between the system's demand and supply. The model's performance was measured through indicators of final inventory, available units, and the number of units supplied to the WFC. The results demonstrated savings through a 20.4% reduction in daily supply operation costs and an average increase in weekly profit of $31,000.

Authors

Institutions

Publication Details

Journal
Aibi revista de investigación administración e ingeniería
Published
2025-05-01
DOI
https://doi.org/10.15649/2346030x.4071
Primary Topic
Agricultural and Food Production Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modelo de gestión para el abastecimiento de perecederos Agro-frescos evaluado a través de Simulación Montecarlo

Andrés Mauricio Hualpa Zúñiga, Óscar Javier Herrera Ochoa
Aibi revista de investigación administración e ingeniería
Agricultural and Food Production Studies
article

Modelo de gestión para el abastecimiento de perecederos Agro-frescos evaluado a través de Simulación Montecarlo

Andrés Mauricio Hualpa Zúñiga, Óscar Javier Herrera Ochoa
article en

Abstract

This study addresses the design of an agricultural supply chain management model with chain articulation based on the association of Retail Merchants (RM) that distribute fresh agricultural products to the end user through a Central Wholesale Food Center (WFC). The objective is to achieve greater efficiency in the supply operation for this type of food by reducing distances and supply times for each RM, in addition to achieving a balanced load of products handled by each link in the chain. All of this will result in lower prices for the end consumer and increased food security. It also contributes to improving traffic and, therefore, the environmental impact caused by freight transport. The model is validated with a sample of RMs from a Colombian population using the Monte Carlo simulation technique with eight replications. This technique was developed by first defining a 60-day run length equivalent to the average harvest duration in Colombia. Second, an input analysis of the decision variables to be modeled using probabilistic distributions. Finally, a representation of the system's logical operating sequence was performed, thus obtaining a balance analysis between the system's demand and supply. The model's performance was measured through indicators of final inventory, available units, and the number of units supplied to the WFC. The results demonstrated savings through a 20.4% reduction in daily supply operation costs and an average increase in weekly profit of $31,000.

Aibi revista de investigación administración e ingenieríaVol. 13(2)
University of La Salle (CO)
Openalex Percentile: Top 72%
Agricultural and Food Production Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.