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Título : Medidas de riesgo en modelos de inventario: ¿determinismo o incertidumbre en la producción sustentable?
Otros títulos : Risk measures in inventory models: determinism or uncertainty in sustainable production?
Medidas de risco em modelos de inventário: determinismo ou incerteza na produção sustentável?
Autor : García Arango, David Alberto
Aguirre Mesa, Elkin Darío
Gallego Quiceno, Dany Esteban
Palabras clave : Corporación Universitaria Lasallista
Facultad de Ingenierías
Modelos de inventarios
Gestión de inventarios
Métodos de optimización
Fecha de publicación : 2017
Editorial : Corporación Universitaria Lasallista
Citación : Revista Journal of Engineering and Technology Vol. 6 N. 1
Resumen : Inventory models have been the focus of mathematics applied to optimization; the fact of considering stock costs or penalties related to uncertainty makes it necessary to carry out studies regarding the treatment of risk. The present article aims to analyze elements related to some inventory models from their structure, purpose and decision making policy, emphasizing the treatment of non - deterministic cases where there is uncertainty in random demands with density ϕ .This is possible using a quantitative methodology and having as fundamental reference the characterization of the structure of a well-posed problem that responds to an optimal policy and to the adequacy of a coherent risk measure. The basic theoretical assumptions are presented for the understanding of the theme. Likewise, some topics related to inventory theory are identified and conceptualized, based on the theory’s objectives and inventory control structure, mentioning some inventory models. Besides, a theoretical construction is made in the treatment of inventory model optimization from uncertainty, in an analogy with deterministic models, in order to establish relationships between the decisionmaking policy for inventory models and the usual stochastic order. Finally, conclusions are established regarding the importance of the policy approach in the framework of risk measures for uncertainty scenarios by proposing a treatment for productive systems.
URI : http://hdl.handle.net/10567/2057
ISSN : 2256-3903
Aparece en las colecciones: Journal of Engineering and Technology

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