scholarly journals MIX DEL PRODUCTO ÓPTIMO USANDO ALGORITMOS GENÉTICOS

2019 ◽  
pp. 67-69
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Discrete Event Simulation ◽  
A Priori ◽  
Discrete Event ◽  
Activity Based Costing ◽  
Product Mix ◽  
System Activity ◽  
Event Simulation ◽  
Model Combining

MIX DEL PRODUCTO ÓPTIMO USANDO ALGORITMOS GENÉTICOS MIX OF THE OPTIMUM PRODUCT USING GENETIC ALGORITHM Job Daniel Gamarra Moreno, Abraham Esteban Gamarra Moreno, Juan Gamarra Moreno Facultad de Ingeniería de Sistemas, Universidad Nacional del Centro del Perú - Huancayo DOI: https://doi.org/10.33017/RevECIPeru2004.0019/ RESUMEN Mix de producto óptimo significa determinar la cantidad de productos a producir para maximizar la ganancia. Para determinar el mix de producto óptimo de la Cooperativa Industrial Manufacturas del Centro de la ciudad de Huancayo, la empresa textil más importante de la región Andrés A. Cáceres, se ha construido el modelo híbrido que combina la simulación de eventos discretos y con los algoritmos genéticos. La simulación de eventos discretos se utiliza para inferir el costo unitario indirecto de cada producto debido al empleo de un sistema de costos basado en actividades. Para aplicar un sistema de costos basado en actividades se requiere información a posteriori, pero se puede conocerlo (aproximarlo) a priori aplicando la simulación de eventos discretos. Los algoritmos genéticos determinan el mix del producto óptimo que maximiza la utilidad. Estos algoritmos genéticos utilizan la codificación de valor para los cromosomas e incluyen técnicas para la solución de problemas con restricciones lineales. El mix de producto óptimo obtenido con el modelo disminuye las pérdidas con respecto al mix utilizado en el primer semestre, de aquellos productos cuyo costo unitario es superior a su precio, en un 43% e incrementan la utilidad en 123%. Palabras claves: Algoritmos genéticos, mix del producto, simulación de eventos discretos, costo basado en actividades. ABSTRACT Optimal product-mix means to determine the quantity of products to produce to maximize the gain. To determine the optimal product-mix of the Cooperativa Industrial Manufacturas del Centro from Huancayo city, the most important textile company in the region Andrés A. Cáceres, it has been built a hybrid model combining the discrete-event simulation and the genetic algorithms. The discrete-event simulation is used to infer the indirect unitary cost of each product due to the use of a system activity-based costing. To apply a system activity-based costing the posteriori information is required to, but one can know it (to approach it) a priori applying the discrete-event simulation. The genetic algorithms determine the optimal product-mix that maximizes the utility. These genetic algorithms use the code of value for the chromosomes and they include techniques for the solution of problems with lineal restrictions. The optimal product-mix obtained with the model decrease the losses of the product-mix used in the first semester, of those products whose unitary cost is greater than its price in 43% and they increase the utility in 123%. Keywords: Genetic algorithm, product-mix, discrete-event simulation, activity-based costing.

scholarly journals A novel scheduling framework: integrating genetic algorithms and discrete event simulation

2018 ◽  
Vol 17 (1) ◽  
pp. 1 ◽  
Author(s):  
Marco Macchi ◽  
Adalberto Polenghi ◽  
Edoardo Sottoriva ◽  
Luca Fumagalli ◽  
Elisa Negri
Keyword(s):  
Genetic Algorithms ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
Event Simulation

scholarly journals Cost comparison of orthopaedic fracture pathways using discrete event simulation in a Glasgow hospital

BMJ Open ◽  
2017 ◽  
Vol 7 (9) ◽  
pp. e014509 ◽  
Author(s):  
Gillian H Anderson ◽  
Paul J Jenkins ◽  
David A McDonald ◽  
Robert Van Der Meer ◽  
Alec Morton ◽  
...  
Keyword(s):  
Discrete Event Simulation ◽  
Discrete Event ◽  
Cost Comparison ◽  
Resource Utilisation ◽  
Royal Infirmary ◽  
Activity Based Costing ◽  
Operative Trauma ◽  
Cost Study ◽  
Fracture Clinic ◽  
Event Simulation

ObjectiveHealthcare faces the continual challenge of improving outcome while aiming to reduce cost. The aim of this study was to determine the micro cost differences of the Glasgow non-operative trauma virtual pathway in comparison to a traditional pathway.DesignDiscrete event simulation was used to model and analyse cost and resource utilisation with an activity-based costing approach. Data for a full comparison before the process change was unavailable so we used a modelling approach, comparing a virtual fracture clinic (VFC) with a simulated traditional fracture clinic (TFC).SettingThe orthopaedic unit VFC pathway pioneered at Glasgow Royal Infirmary has attracted significant attention and interest and is the focus of this cost study.Outcome measuresOur study focused exclusively on patients with non-operative trauma attending emergency department or the minor injuries unit and the subsequent step in the patient pathway. Retrospective studies of patient outcomes as a result of the protocol introductions for specific injuries are presented in association with activity costs from the models.ResultsPatients are satisfied with the new pathway, the information provided and the outcome of their injuries (Evidence Level IV). There was a 65% reduction in the number of first outpatient face-to-face (f2f) attendances in orthopaedics. In the VFC pathway, the resources required per day were significantly lower for all staff groups (p≤0.001). The overall cost per patient of the VFC pathway was £22.84 (95% CI 21.74 to 23.92) per patient compared with £36.81 (95% CI 35.65 to 37.97) for the TFC pathway.ConclusionsOur results give a clearer picture of the cost comparison of the virtual pathway over a wholly traditional f2f clinic system. The use of simulation-based stochastic costings in healthcare economic analysis has been limited to date, but this study provides evidence for adoption of this method as a basis for its application in other healthcare settings.

Sign in / Sign up

Export Citation Format

Share Document