Title :
Model of balanced distribution and optimal scheduling of the oxygen system in iron and steel industry
Author :
Zhang, Xiaolei ; Zhang, Yanyan ; Tang, Lixin
Author_Institution :
Logistics Inst., Northeastern Univ. Shenyang, Shenyang, China
Abstract :
In iron and steel industry, the conflict between the supply and demand of oxygen must be considered. Otherwise, the surplus amount beyond the inventory capacity of oxygen has to be diffused. By selectively turning on or off the units of the air separation system, and adjusting the production rate, the pressure rate, the liquefied rate and steam rate of each unit, the conflict between demand and production of oxygen can be reduced, the oxygen diffusion can be further reduced. Based on the analysis of the characteristic of oxygen operation from production, holding to consumption in a large scale iron and steel plant, this paper formulates the oxygen balance distribution and optimal scheduling problem as a linear programming model, in which the diffusion cost, pressure cost, liquefied cost, steam cost and setup cost of air separation system is minimized. The model is solved to optimality by using the CPLEX.
Keywords :
diffusion; inventory management; linear programming; oxygen; production control; scheduling; steel industry; supply and demand; CPLEX; air separation system; balanced distribution model; diffusion cost; inventory capacity; iron and steel industry; linear programming model; liquefied cost; liquefied rate adjustment; optimal scheduling problem; oxygen diffusion; oxygen production reduction; oxygen system; pressure cost; pressure rate adjustment; production rate adjustment; setup cost; steam cost; steam rate adjustment; supply and demand; Iron; Liquids; Mathematical model; Optimal scheduling; Oxygen; Production; Steel; Balance distribution; Iron and steel industry; Optimal scheduling; Oxygen system;
Conference_Titel :
Information and Automation (ICIA), 2012 International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4673-2238-6
Electronic_ISBN :
978-1-4673-2236-2
DOI :
10.1109/ICInfA.2012.6246783