Simultaneous stochastic optimisation of mining complexes with equipment uncertainty: Application at an open-pit copper mining complex

Yi Jiang, R. Dimitrakopoulos
{"title":"Simultaneous stochastic optimisation of mining complexes with equipment uncertainty: Application at an open-pit copper mining complex","authors":"Yi Jiang, R. Dimitrakopoulos","doi":"10.1177/25726668241263408","DOIUrl":null,"url":null,"abstract":"A mining complex or mineral value chain is an integrated system composed of mines, stockpiles, waste disposal and tailings facilities, processing destinations and transportation, that leads to generating sellable products delivered to customers and/or the spot market. To deal with such a system, conventional approaches optimise the related components independently and sequentially, while ignoring the related uncertainties. This article extends the simultaneous stochastic optimisation of mining complexes, so as to incorporate equipment uncertainties in addition to supply uncertainty. The inclusion of multiple components and different sources of uncertainty empowers the optimisation to capitalise on the synergies between the different components of a mining complex, while also managing the related technical risk and maximising the net present value. An application at a copper mining complex demonstrates the applied aspects of the proposed approach that jointly considers supply and equipment uncertainty to generate life-of-asset production schedules with a 2% higher net present value, when compared to the results considering only supply uncertainty.","PeriodicalId":518351,"journal":{"name":"Mining Technology: Transactions of the Institutions of Mining and Metallurgy","volume":"10 3","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mining Technology: Transactions of the Institutions of Mining and Metallurgy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/25726668241263408","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

A mining complex or mineral value chain is an integrated system composed of mines, stockpiles, waste disposal and tailings facilities, processing destinations and transportation, that leads to generating sellable products delivered to customers and/or the spot market. To deal with such a system, conventional approaches optimise the related components independently and sequentially, while ignoring the related uncertainties. This article extends the simultaneous stochastic optimisation of mining complexes, so as to incorporate equipment uncertainties in addition to supply uncertainty. The inclusion of multiple components and different sources of uncertainty empowers the optimisation to capitalise on the synergies between the different components of a mining complex, while also managing the related technical risk and maximising the net present value. An application at a copper mining complex demonstrates the applied aspects of the proposed approach that jointly considers supply and equipment uncertainty to generate life-of-asset production schedules with a 2% higher net present value, when compared to the results considering only supply uncertainty.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
具有设备不确定性的采矿联合企业的同步随机优化:露天铜矿综合体的应用
矿业综合体或矿产价值链是一个综合系统,由矿山、库存、废物处理和尾矿设施、加工目的地和运输组成,最终产生可销售的产品交付给客户和/或现货市场。要处理这样一个系统,传统的方法是按顺序对相关组成部分进行独立优化,而忽略了相关的不确定性。本文对采矿综合体的同步随机优化进行了扩展,以便在供应不确定性之外纳入设备不确定性。纳入多个组成部分和不同的不确定性来源,使优化能够充分利用采矿联合企业不同组成部分之间的协同效应,同时还能管理相关的技术风险并最大限度地提高净现值。在一个铜矿综合体中的应用展示了所建议方法的应用方面,该方法联合考虑了供应和设备的不确定性,与仅考虑供应不确定性的结果相比,该方法生成的资产寿命生产计划的净现值高出 2%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A modified approach for cut-off grade and production rate optimization in block caving projects Simultaneous stochastic optimisation of mining complexes with equipment uncertainty: Application at an open-pit copper mining complex Wet inrush susceptibility assessment at the Deep Ore Zone mine using a random forest machine learning model Development of an intelligent evolution algorithm for open pit mines’ long-term production scheduling using the concept of block aggregation A reinforcement learning approach for selecting infill drilling locations considering long-term production planning in mining complexes with supply uncertainty
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1