Mathematical Model for the Optimization of Preparation and Delivery Flows at LBC Adjustment
Abstract
In the paper, the mathematical model of the sheet metal rolls handling process was realized in the LBC Adjustment section of Arcelor Mittal S.A. Galati. Mathematical modeling is performed by statistical methods, namely active regression analysis. The modeling methods by experiment programming are very different because metallurgical processes are varied and complex. We considered as the main influencing factors (the independent variables) the following parameters of the studied process:
1 - the number of rolls - n (number of rolled steel strips / entered in the section for 8 hours);
2 - the number of cranes - m (number of cranes / conveyor bridges from the LBC fitting section).
For the problem to be solved, the optimized function must have a physical meaning, be numerically expressed and show extreme values.
The objective function for optimizing the flow of rolled steel strips preparation and delivery from the LBC Adjustment section is represented by the storage space with some restrictions.
The best value for the objective function is found out by determining some values for the independent process variables, for which the conditions for obtaining some values imposed on dependent variables on minimum energy consumption Q are met.
References
[2]. Popescu D., Ionescu F., Dobrescu R., Ştefanoiu D., Modelare în ingineria proceselor industriale, Editura AGIR, Bucuresti 2011.
[3]. Taloi D., et al., Optimizarea proceselor metalurgice, Editura Didactică şi Pedagogică, Bucureşti, 1983.
[4]. Taloi D., Optimizarea proceselor tehnologice – aplicaţii în metalurgie, Editura Academiei, Bucureşti, 1987.
[5]. Ghinea M., Fireţeanu V., MATLAB – calcul numeric – grafică – aplicaţii, Editura Teora, ISBN 973-601-275-1, Bucureşti, 1998.
[6]. Baron T., et al., Statistică teoretică şi economică, Editura Didactică şi Pedagogică. Bucureşti, 1995.
