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Implementing a blending optimization model for short-range production planning of cement quarry operation

  • Mineral Mining Technology
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Journal of Mining Science Aims and scope

Abstract

An application of the linear programming based blending optimization model for short-range production planning of the cement raw materials is presented. The benefits of the model are established through a case study of an existing cement manufacturing operation in the northern part of Pakistan. A successful model implementation has ensured significant cost savings, reduced employee time for preparing schedules, a sustained supply of raw materials, and better coordination and engineering control among various divisions of the operation as compared to schedules produced manually.

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References

  1. G. T. Austin, Shreve’s Chemical Process Industries, 5th Edition, McGraw Hill Book Company, New York (1984).

    Google Scholar 

  2. K. K. Kathal and M. K. Mukherjee, “Waste management: utilization of fly ash in optimization of raw mix design for the manufacture of cement,” Journal of Mines, Metals, and Fuels, 47, Nos. 7 and 8 (1999).

  3. S. Rehman, M. W. A. Asad, and I. Khattak, “A managerial solution to operational control of the raw materials blending problem in cement manufacturing operations,” in: Proceedings of the COMSATS International Conference on Management for Humanity and Prosperity, Lahore, Pakistan (2008).

  4. D. D. Carr, Industrial Minerals and Rocks, 6th Edition, Society of Mining, Metallurgy, and Exploration, Inc., Littleton, Colorado (1994).

    Google Scholar 

  5. K. Dagdelen and M. W. A. Asad, “Optimum cement quarry scheduling algorithm,” in: Proceedings of the 30th Symposium on Application of Computers and Operations Research in the Mineral Industry, Society of Mining, Metallurgy and Exploration (SME) Inc., Phoenix, Arizona, USA (2002).

    Google Scholar 

  6. M. Smith, “Optimizing short-term production schedules in surface mining: Integrating mine modeling software with AMPL/CPLEX,” International Journal of Mining, Reclamation, and Environment, 12, No. 4 (1998).

    Google Scholar 

  7. M. W. A. Asad, “Multi-period quarry production planning through sequencing techniques and sequencing algorithm,” Journal of Mining Science, 44, No. 2 (2008).

    Google Scholar 

  8. K. Dagdelen and T. B. Johnson, “Optimum open pit mine production scheduling by Lagrangian parameterization,” in: Proceedings of the 19th Symposium on Application of Computers and Operations Research in the Mineral Industry, SAIMM, Johannesburg, South Africa (1987).

    Google Scholar 

  9. K. Fytas, C. Pelley, and P. Calder, “Optimization of short and long range production scheduling,” CIM Bulletin, 80, No. 904 (1987).

    Google Scholar 

  10. C. Mann and F. L. Wilke, “Open pit short term mine planning for grade control — a combination of cad techniques and linear programming,” in: Proceedings of the 23rd Symposium on Application of Computers and Operations Research in the Mineral Industry, SME/AIME, Tucson, Arizona, USA (1992).

    Google Scholar 

  11. B. Denby, D. Schofield, and T. Surme, “Genetic algorithms for flexible scheduling of open pit operations,” in: Proceedings of the 27th Application of Computers and Operations Research in the Mineral Industry, Institute of Mining and Metallurgy (IMM), London (1998).

    Google Scholar 

  12. B. Tolwinski and R. Underwood, “A scheduling algorithm for open pit mines,” IMA Journal of Mathematics Applied in Business and Industry, 7, No. 3 (1996).

  13. B. Tolwinski and R. Underwood, “A mathematical programming viewpoint for solving the ultimate pit problem,” European Journal of Operational Research, 107, No. 1 (1998).

    Google Scholar 

  14. T. B. Johnson, K. Dagdelen, and S. Ramazan, “Open pit mine scheduling based on fundamental tree algorithm,” in: Proceedings of the 30th Symposium on Applications of Computers and Operations Research in Mineral Industry, SME, Phoenix, Arizona, USA (2002).

    Google Scholar 

  15. L. Caccetta and S. Hill, “An application of branch and cut to open pit mine scheduling,” Journal of Global optimization, 27, Nos. 2 and 3 (2003).

    Google Scholar 

  16. M. Kuchta, A. Newman, and E. Topal, “Production scheduling at LKAB’s Kiruna Mine using mixed integer programming,” Mining Engineering, 55, No. 4 (2003).

  17. M. Kuchta, A. Newman, and E. Topal, “Implementing a production schedule at LKAB’s Kiruna Mine,” Interfaces, 34, No. 2 (2004).

    Google Scholar 

  18. S. Ramazan and R. Dimitrakopoulos, “Recent applications of operations research and efficient MIP formulations in open pit mining,” Society of Mining, Metallurgy, and Exploration, Inc. Transactions, 316, (2004).

  19. S. Ramazan, K. Dagdelen, and T. B. Johnson, “Fundamental tree algorithm in optimizing production scheduling for open pit mine design,” Mining Technology: IMM Transactions Section A, 114, No. 1 (2005).

    Google Scholar 

  20. A. Newman and M. Kuchta, “Using aggregation to optimize long-term production planning at an underground mine,” European Journal of Operational Research, 176, No. 2 (2007).

    Google Scholar 

  21. M. W. A. Asad, “Optimum cutoff grade policy for open pit mining operations through net present value algorithm considering metal price and cost escalation,” Engineering Computations, 24, No. 7 (2007).

  22. K. Dagdelen and K. Kawahata, “Value creation through strategic mine planning and cutoff grade optimization,” Mining Engineering, 60, No. 1 (2008).

  23. S. Srinivasan and W. Whittle, “Combined pit and blend optimization,” Society of Mining, Metallurgy, and Exploration, Inc. Annual Meeting, Phoenix, Arizona (1996).

    Google Scholar 

  24. E. C. K. Chanda and K. Dagdelen, “Optimal blending of mine production using goal programming and interactive graphics systems,” International Journal of Mining, Reclamation and Environment, 9, No. 4 (1995).

  25. ILOG CPLEX 10.0. Reference Manual and Software, Incline Village, NV, USA (2005).

  26. Universal Currency Convertor. Available at http://www.xe.com/ucc/convert.cgi (accessed in May, 2009).

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Asad, M.W.A. Implementing a blending optimization model for short-range production planning of cement quarry operation. J Min Sci 46, 525–535 (2010). https://doi.org/10.1007/s10913-010-0066-x

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  • DOI: https://doi.org/10.1007/s10913-010-0066-x

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