(Corporación Universitaria Lasallista, 2017) García Arango, David Alberto; Aguirre Mesa, Elkin Darío; Gallego Quiceno, Dany Esteban
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.
