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Production

versión impresa ISSN 0103-6513versión On-line ISSN 1980-5411

Resumen

ALEM, Douglas  y  MORABITO, Reinaldo. Stochastic programming models in the production planning of furniture companies. Prod. [online]. 2015, vol.25, n.3, pp.657-677.  Epub 18-Ago-2015. ISSN 1980-5411.  https://doi.org/10.1590/0103-6513.075612.

This paper addresses a production planning problem that arises in small-scale furniture companies, where the demands and setup times of bottleneck operations are random variables that can be approximated by a discrete and finite number of scenarios that are weighted by their corresponding probabilities of occurrence. The problem is modeled under multiple scenarios via two-stage stochastic programming with recourse. To control the variability of the second-stage costs, we propose a restricted recourse model that generates a set of solutions that are less sensitive to the scenario changes because the variability is limited to a given tolerance. Numerical experiences indicate that, in some situations, risk-averse solutions with good service levels are not excessively expensive to obtain.

Palabras clave : Production planning; Furniture industry; Stochastic programming; Risk-aversion; Restricted recourse.

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