An optimization approach for inventory costs in probabilistic inventory models: A case study

Authors

  • Alexander Pulido-Rojano Universidad Simón Bolívar
  • Andrea Pizarro-Rada Universidad Simón Bolívar
  • Miguel Padilla-Polanco Universidad Simón Bolívar
  • Milton Sánchez-Jiménez Universidad Simón Bolívar
  • Ladianys De-la-Rosa Universidad Simón Bolívar

Keywords:

Probabilistic inventory models, Independent demand, Safety stock, Forecasting methods, Total cost of inventory, Dispersion of demand

Abstract

Inventories represent stocks of goods necessary for sales or manufacturing operations. This paper presents an optimization approach to minimize inventory costs in probabilistic inventory models with independent demand. The approach has been validated for setting the optimal inventory policy within a company that markets disposable products, minimizing costs by using the standard deviation of historical data, mean deviation of forecast errors, and mean deviation of historical data.

 

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Author Biographies

Alexander Pulido-Rojano, Universidad Simón Bolívar

Universidad Simón Bolívar, Departamento de Ingeniería Industrial

Andrea Pizarro-Rada, Universidad Simón Bolívar

Universidad Simón Bolívar, Departamento de Ingeniería Industrial

Miguel Padilla-Polanco, Universidad Simón Bolívar

Universidad Simón Bolívar, Departamento de Ingeniería Industrial

Milton Sánchez-Jiménez, Universidad Simón Bolívar

Universidad Simón Bolívar, Departamento de Ingeniería Industrial

Ladianys De-la-Rosa, Universidad Simón Bolívar

Universidad Simón Bolívar, Departamento de Ingeniería Industrial

Published

2024-12-20

How to Cite

[1]
A. Pulido-Rojano, A. Pizarro-Rada, M. Padilla-Polanco, M. Sánchez-Jiménez, and L. De-la-Rosa, “An optimization approach for inventory costs in probabilistic inventory models: A case study”, Ingeniare, Rev. chil. ing., vol. 28, no. 3, Dec. 2024.

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