An application of IPA approach on the optimization of a mining port stockyard system

M. A. Ayu, M. Cardew-Hall
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引用次数: 5

Abstract

In this research a stockyard system of a mining operation was analyzed using backward analysis. The system was decomposed into two sub-systems : sub-system 1 modelled the outflow from the stockyard and sub-system 2 the inflow. The Perturbation Analysis Robbins Monro Single Run (PARMSR) algorithm was applied in the optimization of sub-system 1 and rules devised to determining optimal operating condition in sub-system 2. The results show that PARMSR algorithm applying IPA can be used to estimate the optimal cost function in subsystem 1 with a high level of confidence. Using the result from sub-system 1, sub-system 2 was analyzed based on rules devised to obtain an overall optimal result of the stockyard system. The overall results can be used to build an optimal operating management strategy of a stockyard system of a mining operation at certain set of stockyard capacity.
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IPA方法在某矿业港口堆场系统优化中的应用
本文采用逆向分析的方法对某矿山堆场系统进行了分析。该系统被分解为两个子系统:子系统1模拟出料场流出,子系统2模拟入料场。应用摄动分析Robbins Monro单次运行(PARMSR)算法对子系统1进行优化,并设计了确定子系统2最优运行状态的规则。结果表明,应用IPA的PARMSR算法能够以较高的置信度估计子系统1的最优成本函数。利用分系统1的结果,根据所设计的规则对分系统2进行分析,从而得到堆场系统的整体最优结果。总体结果可用于在一定堆场容量下,建立矿山堆场系统的最优运营管理策略。
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