Analysis of optimal production program in metalworing industry
Апстракт
This paper investigates the effects of the manner of calculating the product cost price on forming the impact criteria in production program optimization in metal working companies by means of genetic algorithms. An algorithm was defined for multi-objective production program optimization using genetic algorithms, with the application of nonlinear function of minimal costs and linear function for maximizing the machinery capacity level. The aim of the paper is to investigate the basic hypothesis that the manner of calculating the product cost price in metalworking companies within the framework of the goal to minimize the business operating costs has significant influence on the results obtained by applying genetic algorithms in production program optimization. The results of investigation indicate significant differences in an optimal production program gained by calculating the product cost price via traditional and activity-based costing approach to defining the nonlinear cost funct...ion, depending on the volume of production.
Кључне речи:
production program / multi-objective optimization / genetic algorithm / activity-based costingИзвор:
Metalurgia International, 2012, 17, 5, 14-20Институција/група
Inovacioni centarTY - JOUR AU - Senussi, Galal H. AU - Misita, Mirjana AU - Kirin, Snežana AU - Milanović, Dragan AU - Tadić, Danijela PY - 2012 UR - https://machinery.mas.bg.ac.rs/handle/123456789/1605 AB - This paper investigates the effects of the manner of calculating the product cost price on forming the impact criteria in production program optimization in metal working companies by means of genetic algorithms. An algorithm was defined for multi-objective production program optimization using genetic algorithms, with the application of nonlinear function of minimal costs and linear function for maximizing the machinery capacity level. The aim of the paper is to investigate the basic hypothesis that the manner of calculating the product cost price in metalworking companies within the framework of the goal to minimize the business operating costs has significant influence on the results obtained by applying genetic algorithms in production program optimization. The results of investigation indicate significant differences in an optimal production program gained by calculating the product cost price via traditional and activity-based costing approach to defining the nonlinear cost function, depending on the volume of production. T2 - Metalurgia International T1 - Analysis of optimal production program in metalworing industry EP - 20 IS - 5 SP - 14 VL - 17 UR - https://hdl.handle.net/21.15107/rcub_machinery_1605 ER -
@article{ author = "Senussi, Galal H. and Misita, Mirjana and Kirin, Snežana and Milanović, Dragan and Tadić, Danijela", year = "2012", abstract = "This paper investigates the effects of the manner of calculating the product cost price on forming the impact criteria in production program optimization in metal working companies by means of genetic algorithms. An algorithm was defined for multi-objective production program optimization using genetic algorithms, with the application of nonlinear function of minimal costs and linear function for maximizing the machinery capacity level. The aim of the paper is to investigate the basic hypothesis that the manner of calculating the product cost price in metalworking companies within the framework of the goal to minimize the business operating costs has significant influence on the results obtained by applying genetic algorithms in production program optimization. The results of investigation indicate significant differences in an optimal production program gained by calculating the product cost price via traditional and activity-based costing approach to defining the nonlinear cost function, depending on the volume of production.", journal = "Metalurgia International", title = "Analysis of optimal production program in metalworing industry", pages = "20-14", number = "5", volume = "17", url = "https://hdl.handle.net/21.15107/rcub_machinery_1605" }
Senussi, G. H., Misita, M., Kirin, S., Milanović, D.,& Tadić, D.. (2012). Analysis of optimal production program in metalworing industry. in Metalurgia International, 17(5), 14-20. https://hdl.handle.net/21.15107/rcub_machinery_1605
Senussi GH, Misita M, Kirin S, Milanović D, Tadić D. Analysis of optimal production program in metalworing industry. in Metalurgia International. 2012;17(5):14-20. https://hdl.handle.net/21.15107/rcub_machinery_1605 .
Senussi, Galal H., Misita, Mirjana, Kirin, Snežana, Milanović, Dragan, Tadić, Danijela, "Analysis of optimal production program in metalworing industry" in Metalurgia International, 17, no. 5 (2012):14-20, https://hdl.handle.net/21.15107/rcub_machinery_1605 .