This research aimed to evaluate the relationship between variables of the temperature adjustment and the percentage of heating in the molding oven of the Polyethylene Terephthalate Resin (PTR) used in the manufacture of the preform of two-liter bottles. It also investigated the direction of causality between these variables in order to determine how an external shock is transmitted to the system. Vector Error Correction (VEC) methodology was used to carry out this study. It was possible to identify the variable to be monitored and estimate the minimum time for the system to reach the stability of the oven temperature.

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Quality control,Vector autoregression,Vector error correction model,Response-impulse variable,Industrial oven temperature

Esta publicação é um output do(s) seguinte(s) projeto(s):

• New frontiers in applied quantitative management and finance: nonlinear econometric models, fractional cointegration and econophysics