Machine Tools Selection Using AHP Method and Multiobjective Optimization

Ćosić, Predrag (2014) Machine Tools Selection Using AHP Method and Multiobjective Optimization. = Machine Tools Selection Using AHP Method and Multiobjective Optimization. In: 2nd International Scientific Conference COMETa2014, Conferenceon Mechanical Engineering Technology and Applications, 2.-5.12.2014., Istočno Sarajevo, Bih.

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Abstract

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.

Item Type: Conference or Workshop Item (Lecture)
Keywords (Croatian): Machine Tool Selection, AHP Method, Stepwise Multiple Linear Regression, Group Technology, Multiobjective Optimization
Subjects: TECHNICAL SCIENCE > Mechanical Engineering
Divisions: 700 Department of Industrial Engineering > 710 Chair of Production Design
Indexed in Web of Science: No
Indexed in Current Contents: No
Date Deposited: 28 Jun 2016 12:39
Last Modified: 15 Jan 2018 13:54
URI: http://repozitorij.fsb.hr/id/eprint/5972

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