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Simultaneous Short-Term Decision-Making in Mining Complexes Integrating Geometallurgy Assisted By Production Data.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Simultaneous Short-Term Decision-Making in Mining Complexes Integrating Geometallurgy Assisted By Production Data./
作者:	Both, Christian.
面頁冊數:	1 online resource (211 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-05, Section: A.
Contained By:	Dissertations Abstracts International84-05A.
標題:	Mines. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30157699click for full text (PQDT)
ISBN:	9798352985359

Simultaneous Short-Term Decision-Making in Mining Complexes Integrating Geometallurgy Assisted By Production Data.
Both, Christian.

Simultaneous Short-Term Decision-Making in Mining Complexes Integrating Geometallurgy Assisted By Production Data. - 1 online resource (211 pages)

Source: Dissertations Abstracts International, Volume: 84-05, Section: A.

Thesis (Ph.D.)--McGill University (Canada), 2022.

Includes bibliographical references

A mining complex is an integrated business of mines and downstream facilities that extracts raw materials, converts extracted materials into sellable products, and transports products to markets and customers. Conventionally, individual components of a mining complex are optimized locally and independently of each other, which causes underperformance of the mineral value chain. Simultaneous stochastic optimization of mining complexes has shown to create strategic mine plans that increase the net present value while reducing risk of meeting production targets by incorporating geological and price uncertainty. While these developments jointly optimize strategic decisions of a mining complex, short-term planning makes daily/weekly/monthly decisions to best meet long-term production targets and maximize value. These decisions include, but are not limited to, short-term extraction sequence, destination of materials, and downstream material flow in mining complexes. Furthermore, the optimal allocation of the mining fleet is an important aspect of short-term planning; however, the joint stochastic optimization of short-term production schedules and fleet management in mining complexes has not yet been developed. Additionally, geometallurgical properties that drive revenues, costs, and the ability to meet production targets, are not integrated in the optimization of short-term production schedules in mining complexes and main issues related to the upscaling and blending of non-additive geometallurgical properties need to be addressed. Digital technologies enable the central storage of a large amount of production data in mines and processing plants, however, new ways must be found to integrate these new sources of information into short-term decision-making.This thesis expands the simultaneous stochastic optimization of mining complexes for long-term planning into a decision-making framework for short-term mine planning through the incorporation of fleet management and geometallurgical prediction models of plant performances into the short-term optimization of mining complexes, which is assisted by the utilization of collected datasets from production processes in mines and processing plants. The planning horizon of interest for the short-term planning framework developed in this thesis spans several weeks to months of future scheduled materials.First, a new stochastic integer programming model for short-term planning is developed that extends the simultaneous stochastic optimization of mining complexes to allow the scheduling of a heterogeneous truck fleet and shovel allocations while considering the costs and loss of production caused by shovel relocation. Next to geological uncertainty, equipment performance uncertainties related to production rates, availabilities, and truck cycle times are integrated. The new method is applied at a gold mining complex and compared to a conventional two-step approach, where the short-term production schedule is optimized first before optimizing the allocation of the mining fleet. The developed method reduces costs generated by shovel movements by 56% and decreases total operating costs of trucks by 3%.Next, a geometallurgical model for the prediction of ball mill throughput in mining complexes is developed which utilizes penetration rates from measurement while drilling and recorded throughput rates of the operating plant. The creation of hardness proportions avoids biases typically introduced by the change of support and blending of non-additive geometallurgical hardness properties. A case study at a gold mining complex shows that throughput can be predicted with a Pearson correlation coefficient of up to 0.8.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798352985359Subjects--Topical Terms:

3693480
Mines.
Index Terms--Genre/Form:

542853
Electronic books.

Simultaneous Short-Term Decision-Making in Mining Complexes Integrating Geometallurgy Assisted By Production Data.
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502 $a Thesis (Ph.D.)--McGill University (Canada), 2022.
504 $a Includes bibliographical references
520 $a A mining complex is an integrated business of mines and downstream facilities that extracts raw materials, converts extracted materials into sellable products, and transports products to markets and customers. Conventionally, individual components of a mining complex are optimized locally and independently of each other, which causes underperformance of the mineral value chain. Simultaneous stochastic optimization of mining complexes has shown to create strategic mine plans that increase the net present value while reducing risk of meeting production targets by incorporating geological and price uncertainty. While these developments jointly optimize strategic decisions of a mining complex, short-term planning makes daily/weekly/monthly decisions to best meet long-term production targets and maximize value. These decisions include, but are not limited to, short-term extraction sequence, destination of materials, and downstream material flow in mining complexes. Furthermore, the optimal allocation of the mining fleet is an important aspect of short-term planning; however, the joint stochastic optimization of short-term production schedules and fleet management in mining complexes has not yet been developed. Additionally, geometallurgical properties that drive revenues, costs, and the ability to meet production targets, are not integrated in the optimization of short-term production schedules in mining complexes and main issues related to the upscaling and blending of non-additive geometallurgical properties need to be addressed. Digital technologies enable the central storage of a large amount of production data in mines and processing plants, however, new ways must be found to integrate these new sources of information into short-term decision-making.This thesis expands the simultaneous stochastic optimization of mining complexes for long-term planning into a decision-making framework for short-term mine planning through the incorporation of fleet management and geometallurgical prediction models of plant performances into the short-term optimization of mining complexes, which is assisted by the utilization of collected datasets from production processes in mines and processing plants. The planning horizon of interest for the short-term planning framework developed in this thesis spans several weeks to months of future scheduled materials.First, a new stochastic integer programming model for short-term planning is developed that extends the simultaneous stochastic optimization of mining complexes to allow the scheduling of a heterogeneous truck fleet and shovel allocations while considering the costs and loss of production caused by shovel relocation. Next to geological uncertainty, equipment performance uncertainties related to production rates, availabilities, and truck cycle times are integrated. The new method is applied at a gold mining complex and compared to a conventional two-step approach, where the short-term production schedule is optimized first before optimizing the allocation of the mining fleet. The developed method reduces costs generated by shovel movements by 56% and decreases total operating costs of trucks by 3%.Next, a geometallurgical model for the prediction of ball mill throughput in mining complexes is developed which utilizes penetration rates from measurement while drilling and recorded throughput rates of the operating plant. The creation of hardness proportions avoids biases typically introduced by the change of support and blending of non-additive geometallurgical hardness properties. A case study at a gold mining complex shows that throughput can be predicted with a Pearson correlation coefficient of up to 0.8.
520 $a Un complexe minier est une entreprise integree de mines et d'installations en aval qui extrait des matieres premieres, transforme les matieres extraites en produits vendables et transporte les produits vers les marches et les clients. Conventionnellement, les composants individuels d'un complexe minier sont optimises localement et independamment les uns des autres, ce qui entraine une sous-performance de la chaine de valeur minerale. Il a ete demontre que l'optimisation stochastique simultanee des complexes miniers permet de creer des plans strategiques de mines qui augmentent la valeur actuelle nette tout en reduisant le risque d'atteindre les objectifs de production en integrant l'incertitude geologique et des prix. Alors que ces developpements optimisent conjointement les decisions strategiques d'un complexe minier, la planification a court terme prend des decisions quotidien/hebdomadaire/mensuel pour atteindre au mieux les objectifs de production a long terme et maximiser la valeur. Ces decisions comprennent, sans s'y limiter, la sequence d'extraction a court terme, la destination des materiaux et le flux de materiaux en aval dans les complexes miniers. De plus, l'allocation optimale de la flotte miniere est un aspect important de la planification a court terme ; cependant, l'optimisation stochastique conjointe des planifications de production a court terme et de la gestion de la flotte dans les complexes miniers n'a pas encore ete developpee. De plus, les proprietes geometallurgiques qui determinent les revenus, les couts et la capacite a atteindre les objectifs de production ne sont pas integrees dans l'optimisation des planifications de production a court terme dans les complexes miniers et les principaux problemes lies a l'augmentation de l'echelle et au melange des proprietes geometallurgiques non additives doivent etre adresses. Les technologies numeriques permettent le stockage centralise d'une grande quantite de donnees de production dans les mines et les usines de traitement, cependant, de nouveaux moyens doivent etre trouves pour integrer ces nouvelles sources d'information dans la prise de decision a court terme.Cette these etend l'optimisation stochastique simultanee des complexes miniers pour la planification a long terme a un cadre decisionnel pour la planification miniere a court terme par l'incorporation de modeles de gestion de flotte et de prediction geometallurgique des performances des usines dans l'optimisation a court terme des complexes miniers, qui est assistee par l'utilisation d'ensembles de donnees collectees a partir des processus de production dans les mines et les usines de traitement. L'horizon de planification d'interet pour le cadre de planification a court terme developpe dans cette these s'etend sur plusieurs semaines a plusieurs mois de materiaux futurs programmes.On developpe d'abord un nouveau modele de programmation stochastique en nombres entiers pour la planification a court terme qui etend l'optimisation stochastique simultanee des complexes miniers pour permettre la planification d'une flotte de camions heterogenes et l'allocation de pelles tout en considerant les couts et la reduction de la production causes par le deplacement des pelles. En plus de l'incertitude geologique, les incertitudes de performance des equipements liees aux taux de production, aux disponibilites et aux temps de cycle des camions sont integrees.
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