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Simulation to reduce variability in iron ore stockpiles

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  • Everett, J.E.

Abstract

The market requires successive shipments of iron ore to be uniform in composition, for several elements (particularly iron, silicon, aluminium and calcium). Variations in mine production cause individual train loads arriving at the shipping yard to vary in composition. Appropriate stacking of incoming ore helps smooth the variability. This can be done by simple random filtering through an array of stockpiles. Intelligent stacking, guided by composition of the ore and of candidate stockpiles, gives better smoothing. The objective function is a composite of the multiple element criteria and the benefits of improved composition uniformity trade against costs of handling and storage. The problem is not soluble analytically. This paper describes the design and application of a simulation model used to plan iron ore handling procedures and improve quality performance. The model, written in Extend™ [2], has a dynamic graphical interface which has proved helpful both for developing the model and for constructive interaction with managers and operating staff.

Suggested Citation

  • Everett, J.E., 1997. "Simulation to reduce variability in iron ore stockpiles," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 43(3), pages 563-568.
    • Handle: RePEc:eee:matcom:v:43:y:1997:i:3:p:563-568
    DOI: 10.1016/S0378-4754(97)00045-1
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    Cited by:

    1. Camargo, Luis Felipe Riehs & Rodrigues, Luis Henrique & Lacerda, Daniel Pacheco & Piran, Fabio Sartori, 2018. "A method for integrated process simulation in the mining industry," European Journal of Operational Research, Elsevier, vol. 264(3), pages 1116-1129.
    2. Belkina Iryna A. & Kochura Yevhen V., 2013. "Study of dependence of income and profit of the ore mining and processing enterprise on organisation of ore supply," The Problems of Economy, RESEARCH CENTRE FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS (KHARKIV, UKRAINE), issue 4, pages 229-236.
    3. Everett, J. E., 2001. "Iron ore production scheduling to improve product quality," European Journal of Operational Research, Elsevier, vol. 129(2), pages 355-361, March.

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