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

fYear

2008

fDate

25-27 June 2008

Firstpage

7716

Lastpage

7719

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/WCICA.2008.4594130

Filename

4594130