Title :
Aggregate production planning model of production line in iron and steel enterprise based on genetic algorithm
Author :
Jiang, Guozhang ; Kong, Jianyi ; Li, Gongfa
Author_Institution :
Coll. of Machinery & Autom., Wuhan Univ. of Sci. & Technol., Wuhan
Abstract :
According to the main characteristics of production line of iron and steel enterprise, how to make aggregate production planning of iron and steel enterprise are analyzed. An aggregate production plan model of product line of iron and steel enterprise is proposed, which is calculated by using standard library function of the Matlab7.0 genetic algorithm toolbox to program. Penalty function was adopted in the course of getting solution. These parameters of scale of father population, crossover probability, mutation probability and penalty factor were combined and optimized. The result obtained is in accordance with the actual conditions of this enterprise basically that the optimization solution to production plans of real iron and steel enterprise by using the algorithm.
Keywords :
aggregate planning; genetic algorithms; mathematics computing; probability; steel industry; Matlab7.0; aggregate production planning model; crossover probability; genetic algorithm; iron-steel enterprise; mutation probability; optimization; penalty factor; penalty function; production line; standard library function; Aggregates; Automation; Capacity planning; Costs; Genetic algorithms; Iron; Mathematical model; Production planning; Raw materials; Steel; Matlab; aggregate production plan model; genetic algorithm; iron and steel enterprise; production line;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4594130
