This paper describes a fuzzy multiobjective optimization approach for deter
mining the set-points of the injection molding processing parameters to min
imize the defects formed on the molded parts. The severities of the defects
are represented by membership functions using the fuzzy set theory. The mi
nimization of these membership functions, which is a multiobjective optimiz
ation problem, is transformed into a substitute problem. The preference fun
ction in the substitute problem is original and is proposed specifically fo
r characterizing the quality requirements of the injection molding defects.
The formulated optimization problem is solved with design of experiments,
in which the process behavior is approximated empirically by a set of quadr
atic polynomials that car be easily optimized. Experimental results are pre
sented to emphasis the workability of the proposed methodology.