Resumo

ARANGO SERNA, MARTÍN DARIO; VERGARA RODRIGUEZ, CESAR  e  GAVIRIA MONTOYA, HORACIO. FUZZY MODELIZATION FOR AGGREGATED PRODUCTION PLANNING UNDER UNCERTAINTY ENVIRONMENTS. Dyna rev.fac.nac.minas [online]. 2010, vol.77, n.162, pp.397-409. ISSN 0012-7353.

This article shows a tool to support decision making in production planning for the medium term if demand is an uncertain parameter, developed into the Industrial-Organizational Logistic Research Group "GICO". The development of a production plan involves the determination of parameters that often have some degree of vagueness, it is concluded that the personnel in charge of taking dedication assume the management of this uncertainty. Fuzzy logic appears as an alternative to traditional or stochastic processes to assist decision making in fuzzy environments. This article begins with a brief introduction of the production planning and fuzzy logic. In the second part it designs a fuzzy linear programming model as a tool to support decision making in the aggregate production planning when it follows a strategy of forecast demand, assuming the claim as a fuzzy parameter. For the construction of this model previously was to raise a linear programming model to mark the boundaries of the fuzzy model. Finally in this paper solves an aggregate planning problem where demand is uncertain, using the proposed fuzzy model.

Palavras-chave : Fuzzy logic; production planning decisions in fuzzy environments; fuzzy linear programming model; aggregate planning; linear programming model.

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