Modelo de Simulación de Inventario basado en Algoritmo Optimización por Enjambre de Partículas (PSO) para minimizar costos por venta de productos perecederos

Abstract:

The objective of this study is to minimize the cost of sales of the “Fruta Bar” business, due to the high rates of economic loss due to the disposal of raw material due to its expiration. This problem arises from the empirical management that is given to the inventory, requesting replenishment every certain period of time, but without anticipating the variation that could arise in the sales process, thus achieving a surplus of raw material that, not being used during its lifetime, it should be discarded. To fulfill the purpose of the study, a model is developed whose implementation includes the use of the PSO (Particle Swarm Optimization) algorithm, which stimulates the demand for products from 2020 taking as a reference the volume of sales from the years 2017 to 2019. Results reflect the minimization of approximately 20% of sales costs and also demonstrate that metaheuristic methods such as the PSO algorithm, imitate behaviors observed in real life and that, being related to Artificial Intelligence, offer a vision of what It could happen in the future.

Año de publicación:

2020

Keywords:

Fuente:

google