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Preliminary communication

The iterative multiobjective method in optimization process planning

Predrag Cosic ; Department of Industrial Engineering, FAMENA, University of Zagreb, 10000 Zagreb, Croatia
Dragutin Lisjak ; Department of Industrial Engineering, FAMENA, University of Zagreb, 10000 Zagreb, Croatia
Drazen Antolic ; AD, Ltd., Ilirski trg, 10000 Zagreb, Croatia

Fulltext: english, pdf (118 KB) pages 75-81 downloads: 484* cite
APA 6th Edition
Cosic, P., Lisjak, D. & Antolic, D. (2010). The iterative multiobjective method in optimization process planning. Tehnički vjesnik, 17 (1), 75-81. Retrieved from https://hrcak.srce.hr/50611
MLA 8th Edition
Cosic, Predrag, et al. "The iterative multiobjective method in optimization process planning." Tehnički vjesnik, vol. 17, no. 1, 2010, pp. 75-81. https://hrcak.srce.hr/50611. Accessed 11 Apr. 2021.
Chicago 17th Edition
Cosic, Predrag, Dragutin Lisjak and Drazen Antolic. "The iterative multiobjective method in optimization process planning." Tehnički vjesnik 17, no. 1 (2010): 75-81. https://hrcak.srce.hr/50611
Harvard
Cosic, P., Lisjak, D., and Antolic, D. (2010). 'The iterative multiobjective method in optimization process planning', Tehnički vjesnik, 17(1), pp. 75-81. Available at: https://hrcak.srce.hr/50611 (Accessed 11 April 2021)
Vancouver
Cosic P, Lisjak D, Antolic D. The iterative multiobjective method in optimization process planning. Tehnički vjesnik [Internet]. 2010 [cited 2021 April 11];17(1):75-81. Available from: https://hrcak.srce.hr/50611
IEEE
P. Cosic, D. Lisjak and D. Antolic, "The iterative multiobjective method in optimization process planning", Tehnički vjesnik, vol.17, no. 1, pp. 75-81, 2010. [Online]. Available: https://hrcak.srce.hr/50611. [Accessed: 11 April 2021]

Abstracts
Estimation of production time, delivery term, production costs etc., are some of the key problems of unit production. In the previous research strong correlation was discovered between the features of the product drawing and production time, which has resulted in 8 regression equations. They were realized using stepwise multiple linear regression. Since the optimization of these regression equations did not fully define the most frequent requirements, multiobjective optimization was applied. The applied criteria included: minimum production time, maximum work costs/total costs ratio for a group of workpieces. The group was created using specific classifiers that defined similar workpieces. An iterative STEP method with seven decision variables within a group was applied, and the groups with a high index of determination were selected. Independent values that maximize the work costs/total costs ratio and minimize production times were determined. The obtained regression equations of time production parts and work costs/total costs ratio are included in the objective functions to reduce production time and increase work costs/total costs at the same time. The values of decision variables that minimize production time and maximize work costs/total costs ratio were determined. As the solution of the described problem, multicriteria iterative STEP method was applied.

Keywords
multiobjective method for optimization; production time; regression analysis

Hrčak ID: 50611

URI
https://hrcak.srce.hr/50611

[croatian]

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