engleski

MACHINE TOOLS SELECTION USING AHP METHOD AND MULTIOBJECTIVE OPTIMIZATION

The application of the AHP method in solving multiple criteria decision making is illustrated through a practical example using Expert Choice (EC) software based on the AHP method. A real machine tools selection problem set in the EC by entering the real data is presented. The finally obtained results are analyzed. In the previously conducted research a strong correlation was found between the features of the product drawing and production time, which resulted with 8 regression equations. They were realized using stepwise multiple linear regression. The applied criteria included: minimum production time, maximum work costs/total costs ratio for a group of workpieces. Independent values that maximize the work costs/total costs ratio and minimize production times were determined. The obtained regression equations for the parts production time and work costs/total costs ratio are included in the objective functions to reduce production time and increase the work costs/total costs ratio at the same time. The values of decision variables that minimize production time and maximize work costs/total costs ratio were determined.

Machine Tool Selection; AHP Method; Stepwise Multiple Linear Regression; Group Technology; Multiobjective Optimization

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