### SCSC2003 Abstract S8119

#### OPTIMIZATION OF A LARGE STEELMAKING WORKSHOP THROUGH INTEGRATION OF COMPUTER SIMULATION AND DESIGN OF EXPERIMENT

OPTIMIZATION OF A LARGE STEELMAKING WORKSHOP THROUGH INTEGRATION OF COMPUTER SIMULATION AND DESIGN OF EXPERIMENT

Submitting Author: Prof. Ali Azadeh

Abstract:

The objective of this study is to optimize the performance of a steelmaking workshop by of integration computer simulation and design of experiment. The workshop is composed of two large mixers, two scrap pockets, three converters and a slag workshop. Furthermore, there are 36 operations in the workshop to change the input material of cast iron to output product of cast steel. The simulation model is built by considering all major and detailed operations and interacting systems of the workshop. The results and the structure of the integrated simulation model were verified and validated by comparative analysis and t-test. Moreover, the monthly production rate of converter station was chosen as the performance measure for the actual system and simulation model in a twelve months period. The results of t-test shows the average monthly production of cast steel for the two system is statistically equal (at á = 0.05). Also, the industrial engineering unit and the production manage

rs accredited the integrated model. To integrate the simulation model with design of experiment, decision making parameters are defined as number of converters, slag pockets, mixers and blast furnaces. To estimate and assess the effects of each of the preceding factors and their two-way interactions on response variable (cast steel) a complete 34 factorial design with two center points is considered. Furthermore response surface methodology (RSM) is used to optimize the response variable. Because a first order model is not adequate for the RSM, a second order regression equation is developed by least square method. Finally, by steepest ascent experiment, the local optimum is identified.

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