سال انتشار: ۱۳۸۶

محل انتشار: اولین کنفرانس بین المللی تحقیق در عملیات ایران

تعداد صفحات: ۱

نویسنده(ها):

j Gholamnejad – Assistance professor in the Department of Mining and Metallurgical engineering of Yazd University, Pejoohesh Street,
m Osanloo – Professor in the Department of Mining, Metallurgical and Petroleum engineering at the Amirkabir University
b Karimi – Assistance professor in the Department of Industrial Engineering at the Amirkabir University of Technology
e Khorram – Associated professor in the Department of Mathematical and Computer Science at the Amirkabir University of Technology

چکیده:

In this paper long-term production planning of an open pit mine was performed by using chance constrained binary integer programming in a stochastic environment. At first, long-term production planning of an open pit mine was model as a linear zero-one model. In this model block ore grade is an uncertain parameter. The probability distribution function of grade in each block is used as a stochastic input to the optimization model. This distribution function in each block should be determined using Geostatistical Simulation approach. The deterministic equivalents of these chance constraints are then achieved which are the form of nonlinear in binary variables. A confidence level at which it is desire that the uncertain constraints holds, is specified in each scheduling period. Because of difficulties in solving large scale nonlinear models, the model is approximated by a linear one. Rather than previous risk-based model, this formulation will yield schedules with high chance of achieving planned production targets while maximizes the expectation of net present value and minimizes the variance function simultaneously; therefore, using this method the grade uncertainty is integrated explicitly into optimization process