Production Procedure Optimization in Iron and Steel Enterprise
Guozhang Jiang, Enyuan He, Gongfa Li, Jianyi Kong, Liangxi Xie
Journal of Digital Information Management, Vol. 11, No. 2, 2013.
DOI: 
Link: http://dline.info/fpaper/jdim/v11i2/8.pdf
Abstract:
At present, iron and steel enterprise develops towards the direction with many procedure, many process, many variety and many specification, and reaches hundreds and thousands of product series and product mix, how to plan, organize and control steel production, production schedule of its product line are key issues. 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.