Theoretical Basis for Multiple Criteria Analysis of Variants and Selection of the Most Effective Technological Scheme for Hard Rock Surface Mining

Antipas T. S. Massawe, Mussa Daniel

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DOI: 10.4236/eng.2011.31010                

Abstract

The technological scheme of a hard rock surface mine is a multiple level production system of interdependently func-tioning elements. Selection of the optimum combination of its elements constitutes a complex multiple variant and criteria problem of decision making. In this paper describes the theoretical part of the method proposed for the quantitative analysis and selection of the most competent technological schemes, based on the mathematical formulations of the selection criteria of the element of each level as functions of the alternative variants of the elements of the level and its adjacent levels. It is realized in accordance to standard procedures of decision making in the formation of the economical mathematical model of the cumulative influence of levels and elements on the effectiveness of all alternative variants in their analysis and generation of a small subset of the most competent variants, which are subjected to further analysis using the criterion of reliability in the generation of the optimum technological scheme. The scientific challenge inherent in its realization constitutes a PhD research opportunity for those interested in the problems of optimization in hard rock surface mines.

Keywords

Level, Alternative Variants, Technological Schemes, Selection, Competent Variants

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	W. Hustruli and M. Kuchta, “Open Pit Mine Planning and De-sign,” Taylor & Francis, 2006.
[2]	B. Kennedy, “Surface Mining,” SME, 1990.
[3]	T. Afeni, “Optimization of Drilling and Blasting Operations in an Open Pit Mining – The SOMAIR Experience,” Mining Science and Technology (China), Vol. 19, No. 6, November 2009, pp. 736-739. doi:10.1016/S1674- 5264(09)60134-4
[4]	A. Bortolussi and R. Ciccu, S. Forte and B. Grosso, “A Contribution to a Better Design and Control of Surface Blasting,” Balkema, Rotterdam, 2000.
[5]	S. Qu, S. Hao, G. Chen, B. Li and G. Bian, “The BLAST- CODE Model: A Computer-Aided Bench Blast Design and Simulation Sys-tem,” Fragblast, Vol. 6, No. 1, March 2002, pp.85-103.
[6]	A. Mishra, “Design of Surface Blasts – A Computational Ap-proach,” Bsc Thesis, Department of Mining Engineering, Na-tional Institute of Technology, Rourkela-769008, 2009.
[7]	E. Bozorgrahimi, R. A. Hall and G. H. Blackwell, “Sizing Equip-ment for Open Pit Mining,” A Review of Critical Parameters of Mining Technology, December 2003, Vol. 112, pp. 171-179.
[8]	R. Franke, “Combined Mining Systems for Open Pit Mines,” Bulk Handling in Open Pit Mines & Quarries, 1986, pp. 177-182.
[9]	H. Althof, “Cost Reduction by In-Pit Crushing and Conveying,” Bulk Handling in Open Pit Mines & Quarries, 1986, pp. 205- 208.
[10]	G. Adel, T. Kojovic and D. Thornton, “Mine-to-Mill Optimization of Aggregate Produc-tion,” Virginia, 2006. doi:10.2172/914568
[11]	R. Zhang, Y. Zhang, T. X. Ren and B. Denby, “The Selection of Surface Mining Technology Using a Decision Making System,” Bal-kema, Rotterdam, 1998.
[12]	S. K. Majimdar, “Justification and Selection of the Technological Schemes and Their Parameters for the Conditions of Underground Coal Mining in Bangladesh,” Ph.D. Thesis, Moscow State Mining University, Moscow, 1985.
[13]	A. Massawe, “Selection of the Parameters of Development and Exploitation of Coal Faces in the Underground Coal Mines in Tanzania”, Ph.D. Thesis, Moscow State Mining University, Moscow, 1989.