Linear programming as a tool to design the mix of cement plant raw materials

Authors

DOI:

https://doi.org/10.17794/rgn.2022.4.9

Keywords:

Raw mix, Cement industry, Linear Programming, Blending operations

Abstract

This study uses linear programming to develop a methodology for selecting the best raw material mix in an ASCOM cement plant in Egypt. In cement factories, this type adheres to Egyptian chemical composition criteria for raw feed (e.g. 82.5% calcium carbonate, 14.08% silica, 2.5% alumina and 0.92% iron oxide). Furthermore, the model is bound by industry-specific characteristics (e.g., lime saturation factor, silica modulus, alumina modulus and loss of ignition). The results reveal that the model is able to accurately reproduce the mixing of high-quality feed with varying constituent percentages. It is also capable of determining the combining limitations of each ingredient. Furthermore, it demonstrates optimality for additive sourcing short-term planning and capping limestone quality to meet changeable component combinations. Additionally, improving the raw mix reduces limestone feed quality from 51 to 50.6%, resulting in the inclusion of extra limestone reserves.

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Published

2022-08-24

How to Cite

Hasan, M. M., Bader, S. A., Ali, M. A. M., Abdellah, W. R., & Abdelhaffez, G. S. (2022). Linear programming as a tool to design the mix of cement plant raw materials. Rudarsko-geološko-Naftni Zbornik, 37(4), 109–117. https://doi.org/10.17794/rgn.2022.4.9

Issue

Vol. 37 No. 4 (2022): No. 60

Section

Mining

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