Optimization Analysis of Medium- to Long-Term Ore Drawing Schedule Based on MIP in Block Cave Mining

The mining drawing schedule is related to the safety, environment and ground pressure control of mine production, and is of great significance for controlling the economic indicators of mine operation in block cave mining. The mixed integer programming (MIP) method has been proved to be very effecti...

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Bibliographic Details
Published in:Journal of mining science Vol. 61; no. 3; pp. 429 - 441
Main Authors: Ren, Zhu-li, Yuan, Rui-fu, Wang, Li-guan, Du, Feng, Deng, Haokun
Format: Journal Article
Language:English
Published: Moscow Pleiades Publishing 01.06.2025
Springer Nature B.V
Subjects:
Algorithms
Diamonds
Earth and Environmental Science
Earth Sciences
Geology
Geophysics/Geodesy
Geotechnical Engineering & Applied Earth Sciences
Illustrations
Integer programming
Linear programming
Mathematical programming
Methods
Mineral Mining Technology
Mineral Resources
Mines
Mining
Mining industry
Mixed integer
Net present value
Objective function
Operations research
Optimization
Optimization techniques
Production planning
Schedules
Scheduling
Software
drawing scheduling optimization
block cave mining
draw points priority
the medium- to long-term scheduling
mixed integer programming
ore–rock mixing
ISSN:1062-7391, 1573-8736
Online Access:Get full text
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Summary:The mining drawing schedule is related to the safety, environment and ground pressure control of mine production, and is of great significance for controlling the economic indicators of mine operation in block cave mining. The mixed integer programming (MIP) method has been proved to be very effective in solving the medium- to long-term drawing sequence optimization problem in mines. The amount of ore, three kinds of the draw points priority order with diamond undercutting mode, and the logical relationship are considered as constraints based on the value model of ore–rock mixing. The maximizing net present value of the mining operation is used as objective function. Application and analysis of the model is solved using CPLEX, MATLAB, and YALMIP for a specific Chinese copper mine using 770 drawpoints over 7-year (28-quarter) periods.
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ISSN:1062-7391
1573-8736
DOI:10.1134/S106273912503010X