矿业综合体的自适应同步随机优化:价值从何而来?

IF 10.2 2区 经济学 0 ENVIRONMENTAL STUDIES
Roussos Dimitrakopoulos, Maria Fernanda Del Castillo
{"title":"矿业综合体的自适应同步随机优化:价值从何而来?","authors":"Roussos Dimitrakopoulos,&nbsp;Maria Fernanda Del Castillo","doi":"10.1016/j.resourpol.2025.105549","DOIUrl":null,"url":null,"abstract":"<div><div>This paper aims to identify the sources of value created in the strategic plan of a mining complex when the adaptive simultaneous stochastic optimization of mining complex (ASSOMC) approach is used. This approach considers operational and investment alternatives dynamically within the simultaneous stochastic optimization of mining complex (SSOMC) framework, providing an adaptive strategic plan that manages technical risk and maximizes value. A case study on a world-class mining complex illustrates the effects of this optimization model, comparing the adaptive alternatives of the ASSOMC with the fixed SSOMC case. Results show that considering the SSOMC without alternatives was a starting point, including either investment or operational alternatives in a fixed manner, provides an increase in NPV of 4.4 % and 2.8 %, respectively; whereas considering both jointly increases the NPV by 10.3 %. On the other hand, when adaptive changes are considered over investments, such as additional crushers or conveyor belts, the NPV increases further, by about 20 %. The focus is placed on identifying the location and components where this extra value is created within the mining complex, understanding the effect that the alternatives have, and capitalizing from them. This study finds that, due to the non-linear synergies that exist between the different components of a mining complex, the adaptive aspect of the approach allows the production plan optimization to be proactive and to tailor its configuration according to possible changes and future developments.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"103 ","pages":"Article 105549"},"PeriodicalIF":10.2000,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Adaptive simultaneous stochastic optimization of mining complexes: Where is the value coming from?\",\"authors\":\"Roussos Dimitrakopoulos,&nbsp;Maria Fernanda Del Castillo\",\"doi\":\"10.1016/j.resourpol.2025.105549\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper aims to identify the sources of value created in the strategic plan of a mining complex when the adaptive simultaneous stochastic optimization of mining complex (ASSOMC) approach is used. This approach considers operational and investment alternatives dynamically within the simultaneous stochastic optimization of mining complex (SSOMC) framework, providing an adaptive strategic plan that manages technical risk and maximizes value. A case study on a world-class mining complex illustrates the effects of this optimization model, comparing the adaptive alternatives of the ASSOMC with the fixed SSOMC case. Results show that considering the SSOMC without alternatives was a starting point, including either investment or operational alternatives in a fixed manner, provides an increase in NPV of 4.4 % and 2.8 %, respectively; whereas considering both jointly increases the NPV by 10.3 %. On the other hand, when adaptive changes are considered over investments, such as additional crushers or conveyor belts, the NPV increases further, by about 20 %. The focus is placed on identifying the location and components where this extra value is created within the mining complex, understanding the effect that the alternatives have, and capitalizing from them. This study finds that, due to the non-linear synergies that exist between the different components of a mining complex, the adaptive aspect of the approach allows the production plan optimization to be proactive and to tailor its configuration according to possible changes and future developments.</div></div>\",\"PeriodicalId\":20970,\"journal\":{\"name\":\"Resources Policy\",\"volume\":\"103 \",\"pages\":\"Article 105549\"},\"PeriodicalIF\":10.2000,\"publicationDate\":\"2025-03-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Resources Policy\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0301420725000911\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Resources Policy","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0301420725000911","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0

摘要

本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive simultaneous stochastic optimization of mining complexes: Where is the value coming from?
This paper aims to identify the sources of value created in the strategic plan of a mining complex when the adaptive simultaneous stochastic optimization of mining complex (ASSOMC) approach is used. This approach considers operational and investment alternatives dynamically within the simultaneous stochastic optimization of mining complex (SSOMC) framework, providing an adaptive strategic plan that manages technical risk and maximizes value. A case study on a world-class mining complex illustrates the effects of this optimization model, comparing the adaptive alternatives of the ASSOMC with the fixed SSOMC case. Results show that considering the SSOMC without alternatives was a starting point, including either investment or operational alternatives in a fixed manner, provides an increase in NPV of 4.4 % and 2.8 %, respectively; whereas considering both jointly increases the NPV by 10.3 %. On the other hand, when adaptive changes are considered over investments, such as additional crushers or conveyor belts, the NPV increases further, by about 20 %. The focus is placed on identifying the location and components where this extra value is created within the mining complex, understanding the effect that the alternatives have, and capitalizing from them. This study finds that, due to the non-linear synergies that exist between the different components of a mining complex, the adaptive aspect of the approach allows the production plan optimization to be proactive and to tailor its configuration according to possible changes and future developments.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Resources Policy
Resources Policy ENVIRONMENTAL STUDIES-
CiteScore
13.40
自引率
23.50%
发文量
602
审稿时长
69 days
期刊介绍: Resources Policy is an international journal focused on the economics and policy aspects of mineral and fossil fuel extraction, production, and utilization. It targets individuals in academia, government, and industry. The journal seeks original research submissions analyzing public policy, economics, social science, geography, and finance in the fields of mining, non-fuel minerals, energy minerals, fossil fuels, and metals. Mineral economics topics covered include mineral market analysis, price analysis, project evaluation, mining and sustainable development, mineral resource rents, resource curse, mineral wealth and corruption, mineral taxation and regulation, strategic minerals and their supply, and the impact of mineral development on local communities and indigenous populations. The journal specifically excludes papers with agriculture, forestry, or fisheries as their primary focus.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信