破碎机
铲子
卡车
稳健性(进化)
计算机科学
成本分析
风险分析(工程)
灵敏度(控制系统)
过程(计算)
运筹学
工艺工程
可靠性工程
工程类
业务
机械工程
汽车工程
生物化学
化学
基因
操作系统
电子工程
作者
Marco de Werk,Burak Ozdemir,Bellal Ragoub,Tyrrell Dunbrack,Mustafa Kumral
标识
DOI:10.1080/0013791x.2016.1253810
摘要
Selection of the optimal material handling system is one of the most significant decisions to be made in mineral industries. Rapid economic changes and technological improvements make cost analysis a complicated process. On the other hand, current low commodity prices have put a greater emphasis on cost reduction and process optimization to ensure viability of mining projects. In this article, two material handling systems, a semimobile in-pit crusher and conveyor systems (IPCC) and traditional truck and shovel systems (TS), are compared through the cost analysis of an iron ore prefeasibility study. Furthermore, robustness of the design parameters is evaluated through a sensitivity analysis to determine the relative importance of project parameters. Finally, risks associated with uncertain design parameters affecting cost analysis are assessed through Monte Carlo simulation. The results indicated that IPCC is more cost effective than TS.
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