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Revista Colombiana de Estadística
Print version ISSN 0120-1751
Rev.Colomb.Estad. vol.38 no.1 Bogotá Jan./July 2015
https://doi.org/10.15446/rce.v38n1.48799
http://dx.doi.org/10.15446/rce.v38n1.48799
1Universidad de Valparaíso, School of Nutrition and Dietetics, Chile. Associate Professor. Email: fernando.rojas@uv.cl
2Universidad Adolfo Ibáñez, Faculty of Engineering and Sciences, Chile. Universidad de Valparaíso, Institute of Statistics, Chile. Professor. Email: victorleivasanchez@gmail.com
3Universidade Federal de Rio de Janeiro, School of Business, Brazil. Associate Professor. Email: peter@coppead.ufrj.br
4Universidad de Valparaíso, Institute of Statistics, Chile. Universidade Federal de Pernambuco, Department of Statistics, Brazil. Assistant Professor. Email: carolina.marchant.fuentes@gmail.com
We propose a methodology useful for food services, allowing contribution margins to be optimized. This is based on statistical tools, inventory models and financial indicators. To reduce the gap between theory and practice, we apply this methodology to the case study of a Chilean company to show its potential. We conduct a real-world demand data analysis for perishable and non-perishable products in the companys inventory assortment. Then, we use suitable inventory models to optimize the associated costs. We compare the proposed optimized system with the non-optimized system currently employed by the company, using financial indicators.
Key words: Data Analysis, Demand, Distributions, Inventory.
Proponemos una metodología útil para servicios de alimentación, la que permite optimizar sus márgenes de contribución. Ésta se basa en herramientas estadísticas, modelos de inventario e indicadores financieros. Para reducir la brecha entre la teoría y la práctica, la aplicamos a un estudio de casos de una empresa chilena para mostrar su potencial. Realizamos un análisis de datos de demanda del mundo real para productos perecederos y no perecederos del surtido de inventario de esta empresa. Entonces, utilizamos modelos de inventarios adecuados para optimizar los costos asociados. Comparamos el sistema optimizado propuesto y el sistema no optimizado, que es actualmente empleado por la empresa, a través de indicadores financieros.
Palabras clave: análisis de datos, demanda, distribuciones, inventario.
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Este artículo se puede citar en LaTeX utilizando la siguiente referencia bibliográfica de BibTeX:
@ARTICLE{RCEv38n1a01,
AUTHOR = {Rojas, Fernando and Leiva, Víctor and Wanke, Peter and Marchant, Carolina},
TITLE = {{Optimization of Contribution Margins in Food Services by Modeling Independent Component Demand}},
JOURNAL = {Revista Colombiana de Estadística},
YEAR = {2015},
volume = {38},
number = {1},
pages = {1-30}
}