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Predicting the temperature of the steel strip in an annealing heating furnace on hot-dip galvanizing line (HDGL) is important to ensure the physical properties of the processed material. The objectives are the optimization of the quality by identifying the minority of the processes and the activities responsible for the majority of the energy costs and for the most effective factors in design of the process which support continuous and continual improvement is recently discussed from different points of view. In this study, we examined the quality engineering problems in which several characteristics and factors are to be analyzed through a simultaneous equations system. The solution is presented for modeling and optimizing in furnace of annealing the line of galvanization industry metal, using by principal components regression model
