Optimal contribution margins in food services using inventory control with statistical dependence

Authors

  • Fernando Rojas Universidad de Valparaíso, Chile

Keywords:

Statistical dependence, multivariate distributions, contribution margins, optimization methods, probabilistic inventory models

Abstract

  • This article compares different statistical models that optimize the contribution margins of food service companies, considering random demand and statistical dependence. Probabilistic models and a differential evolution algorithm are used to maximize contribution margins in inventories of perishable and non-perishable components, achieving an 18.32% and 8.34% increase in margins.

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Author Biography

Fernando Rojas, Universidad de Valparaíso, Chile

1. Facultad de Farmacia. Escuela de Nutrición y Dietética. Universidad de Valparaíso, Chile. 2. Centro de Micro-Bio Innovación. Universidad de Valparaíso, Chile.

Published

2024-10-28

How to Cite

[1]
F. Rojas, “Optimal contribution margins in food services using inventory control with statistical dependence”, Ingeniare, Rev. chil. ing., vol. 27, no. 1, Oct. 2024.

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