Application of simulation models to waiting lines, risks and inventories

Authors

Keywords:

Investigación de Operaciones, Simulación, Riesgos, Inventarios, Líneas de espera, Negocios.

Abstract

The objective of this article is to apply simulation models to problems of waiting lines, risks and inventories to various cases under study, by estimating some desirable performance measures that describe the behavior of the simulated system. These models contain mathematical expressions and logical relationships to calculate the value of the output data given the input values, obtaining results that allow recommending controllable input data for desired real systems. It is verified that the simulation models generate statistical estimates with optimized results, contributing with useful information for making business decisions. Furthermore, if the simulation is supported by specialized computer tools that speed up processing times and save significant costs for organizations, particularly in complex scenarios.

Author Biographies

Carlos Ernesto Flores Tapia, Pontificia Universidad Católica del Ecuador

Flores Tapia Carlos Ernesto, PhD.
Profesor Investigador - Pontificia Universidad Católica del Ecuador

Karla Lissette Flores Cevallos, Universidad de Cádiz -España.

Economista. Máster en Economía y Desarrollo Territorial - Universidad de Cádiz, España.

Doctoranda en el Programa de Dirección de Empresas y Entorno Económico - Universidad de Cádiz, España.

Investigadora Directora Ejecutiva - Fundación Los Andes, Ecuador.

Published

2021-09-03

How to Cite

Flores Tapia, C. E., & Flores Cevallos, K. L. (2021). Application of simulation models to waiting lines, risks and inventories. Industrial Engineering (Ingeniería Industrial), 42(3). Retrieved from https://rii.cujae.edu.cu/index.php/revistaind/article/view/1066

Issue

Section

Operations Research and Statistics