Underground mines require complex construction activities including the shaft, levels, raises, winzes and ore passes. In an underground mine based on stoping method, orebody part(s) maximizing profit should be determi...Underground mines require complex construction activities including the shaft, levels, raises, winzes and ore passes. In an underground mine based on stoping method, orebody part(s) maximizing profit should be determined. This process is called stope layout optimization (SLO) and implemented under site-specific geotechnical, operational and economic constraints. For practical purpose, the design obtained by SLO shows consecutive stopes in one path, which assists in defining the mining direction of these stopes. However, this direction may not accommodate the spatial distribution of the ore grade: if the orebody orientation and mining direction differ, the value of the mining operation may decrease. This paper proposes an approach whereby paths in the SLO are defined as decision variables to avoid the cost of mining in the wrong direction. Furthermore, in the genetic-based formulation, which accounts for orebody uncertainty, a robust cluster average design process is proposed to improve SLO’s performance regarding metal content. A case study in narrow gold vein deposit shows that the profit of an underground mining operation could be underestimated by 25%-48% if the algorithm ignores stope layout orientation.展开更多
针对因车间布局不合理而导致物流量浪费的现象,对锻造厂进行研究,建立了物流量最小化的单目标优化函数,运用系统布置设计(systematic layout planning,SLP)方法对原始布局进行优化得到3种布局方案,采用层次分析法(analytic hierarchy pr...针对因车间布局不合理而导致物流量浪费的现象,对锻造厂进行研究,建立了物流量最小化的单目标优化函数,运用系统布置设计(systematic layout planning,SLP)方法对原始布局进行优化得到3种布局方案,采用层次分析法(analytic hierarchy process,AHP)与熵权法相结合的方法构建组合赋权模型,再通过逼近理想解排序法(technique for order preference by similarity to an ideal solution,TOPSIS)对3种方案进行排序优选,形成多指标决策评价模型。最后将遗传算法与和声搜索算法相结合,对锻造厂车间布局进行二次优化,获得最优布局方案。案例分析表明,此研究方法使物流量减少了28.82%,改进效果显著,同时也验证了该模型的优越性,对相关行业车间布局设计提供一定的参考价值。展开更多
基金Project(488262-15)supported by the Natural Sciences and Engineering Research Council of Canada
文摘Underground mines require complex construction activities including the shaft, levels, raises, winzes and ore passes. In an underground mine based on stoping method, orebody part(s) maximizing profit should be determined. This process is called stope layout optimization (SLO) and implemented under site-specific geotechnical, operational and economic constraints. For practical purpose, the design obtained by SLO shows consecutive stopes in one path, which assists in defining the mining direction of these stopes. However, this direction may not accommodate the spatial distribution of the ore grade: if the orebody orientation and mining direction differ, the value of the mining operation may decrease. This paper proposes an approach whereby paths in the SLO are defined as decision variables to avoid the cost of mining in the wrong direction. Furthermore, in the genetic-based formulation, which accounts for orebody uncertainty, a robust cluster average design process is proposed to improve SLO’s performance regarding metal content. A case study in narrow gold vein deposit shows that the profit of an underground mining operation could be underestimated by 25%-48% if the algorithm ignores stope layout orientation.
文摘针对因车间布局不合理而导致物流量浪费的现象,对锻造厂进行研究,建立了物流量最小化的单目标优化函数,运用系统布置设计(systematic layout planning,SLP)方法对原始布局进行优化得到3种布局方案,采用层次分析法(analytic hierarchy process,AHP)与熵权法相结合的方法构建组合赋权模型,再通过逼近理想解排序法(technique for order preference by similarity to an ideal solution,TOPSIS)对3种方案进行排序优选,形成多指标决策评价模型。最后将遗传算法与和声搜索算法相结合,对锻造厂车间布局进行二次优化,获得最优布局方案。案例分析表明,此研究方法使物流量减少了28.82%,改进效果显著,同时也验证了该模型的优越性,对相关行业车间布局设计提供一定的参考价值。
