Digitization of the mining industry: Pathways to sustainability through enabling technologies

IF 10.2 2区 经济学 0 ENVIRONMENTAL STUDIES
Chinmayee Chatterjee , Rahul Sindhwani , Sachin Kumar Mangla , Nitasha Hasteer
{"title":"Digitization of the mining industry: Pathways to sustainability through enabling technologies","authors":"Chinmayee Chatterjee ,&nbsp;Rahul Sindhwani ,&nbsp;Sachin Kumar Mangla ,&nbsp;Nitasha Hasteer","doi":"10.1016/j.resourpol.2024.105450","DOIUrl":null,"url":null,"abstract":"<div><div>Mining is one of the biggest industries in terms of product generation and revenue earned, and is deemed as the lifeline for countries around the world. However, in current times, it is ridden with several problems right from environmental threats to the slow turnover and throughput rate of production it offers. As a result, the demand of digitization and advancement of the mining process emerges so as to improve efficiency. With so many technological breakthroughs, there exists a need to realize what technologies are best suited for the development of a more sustainable mining industry. This study aims to recognize the enabling technologies for digitization of the mining processes using a three-step novel methodology. The findings indicate that sustainability is the most important criterion while big data analytics, machine learning, autonomous vehicles and artificial intelligence are most important technologies that enables digitization of the mining processes for sustainable mining.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"100 ","pages":"Article 105450"},"PeriodicalIF":10.2000,"publicationDate":"2025-01-01","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/S0301420724008171","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

Abstract

Mining is one of the biggest industries in terms of product generation and revenue earned, and is deemed as the lifeline for countries around the world. However, in current times, it is ridden with several problems right from environmental threats to the slow turnover and throughput rate of production it offers. As a result, the demand of digitization and advancement of the mining process emerges so as to improve efficiency. With so many technological breakthroughs, there exists a need to realize what technologies are best suited for the development of a more sustainable mining industry. This study aims to recognize the enabling technologies for digitization of the mining processes using a three-step novel methodology. The findings indicate that sustainability is the most important criterion while big data analytics, machine learning, autonomous vehicles and artificial intelligence are most important technologies that enables digitization of the mining processes for sustainable mining.
求助全文
约1分钟内获得全文 求助全文
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