Abstract
The proper ratio decision of sintering burden is a significant section for both of decreasing sintering costs and increasing quality of iron. At present most company in China take the Fixed-ratio method and linear programming (LP) model to calculate the proper ratio for sintering. The former is the performance appraisal method for production cost management of iron. The latter is to use maths method to improve the computation process. This paper brings up a linear fractional programming (LFP) model combining the advantages of both methods to compute the proper ratio to minimize the iron cost per ton for sintering. Next based on the production data from some steel company this paper takes use of MATLAB to solve the problem. Then comparing the solutions with the original method, the traditional LP model and LFP model the conclusions are revealed in the end.
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References
Wang, D.-q.: Application of Linear Programming in Production of Mixing Materials to Sinte. China Metallurgical. J. 15(8), 19–22 (2005); 线性规划在烧结矿配料中的应用.中国冶金
Na, S.-r.: Iron Calculation, pp. 73–80. Metallurgy Industry Press, Beijing (2005); 炼铁计算
Sun, W.-y., Xu, C.-x., Zhu, D.-t.: Optimization Method, pp. 5–11, 173–202. Higher Education Press, Beijing (2004); 最优化方法
Benson, H.P.: Fractional programming with convex quadratic forms and functions. European Journal of Operational Research 173(2), 351–369 (2006)
Gong, C.: Proficient in Matlab calculation, pp. 231–260. Electronics Industry Press, Beijing (2009); 精通MATLAB最优化计算
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Cheng, X., Pan, K., Ma, Y. (2010). An Application of LFP Method for Sintering Ore Ratio. In: Tan, Y., Shi, Y., Tan, K.C. (eds) Advances in Swarm Intelligence. ICSI 2010. Lecture Notes in Computer Science, vol 6146. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13498-2_28
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DOI: https://doi.org/10.1007/978-3-642-13498-2_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13497-5
Online ISBN: 978-3-642-13498-2
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