Canada Spends Logo

Explorez notre analyse du budget 2026

Grant: Discovery Grants Program - Individual

Laurentian University of Sudbury

$21,000.00

Selection of optimal design alternatives under conditions of uncertainty in underground hard rock mine valuation studies through assessment of strategic robustness tooperating risk

EF 2013-14

Résumé
The focus of this work is driven by operating risk, as opposed to market or orebody uncertainty, to explore, using cash flow risk simulation, the robustness of operating design alternatives in a multivariable system through the long-range plan. In a world of widening competition and uncertainty, strategic adaptability is being increasingly recognized as critical to corporate success. Robustness refers to an operating system that performs adequately under ordinary conditions, but also under unusual conditions that stress the designers' assumptions. Unlike downstream ore processing, the Canadian Mining Industry has room to improve its performance forecasts, in order to enhance its competitiveness. A project valuation study requires risk assessment that links to bottom-line output project values. It has been realized in operating underground mines that the greatest scope for savings is presented during the early planning project valuation stage, under the constraint of limited information. Once ground is broken, the available alternatives diminish exponentially as the mine matures. Multivariable design constraints, the interdependence of problem variables and the uncertainty in determining the distribution of input variables are the challenges in building optimal strategies for forecasted scenarios. Operating uncertainty needs to be counterbalanced through the introduction of alternatives that introduce quality, and flexibility, in design.The proposed work addresses the acute need of the industry to increase the design robustness in mine feasibility and trade-off studies, for adaptability to uncertain operating conditions. The project will produce a valuation operating risk methodology for exploring essential flexible and quality alternatives through dynamic stochastic risk simulation by assessing the impact of time, cost, and mine revenue variables on a project's bottom line.
Programme
Discovery Grants Program - Individual
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
249942-2013
Name nom
Kazakidis, Vassilios
Department département
Engineering, School of
Organization id
26
Institution établissement
Laurentian University of Sudbury
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2013
Competition year année de concours
2013
Award amount
21000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1509
Committee name en
Civil, Industrial and Systems Engineering
Committee name fr
Génie civil, industriel et des systèmes
Area of application code
520
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Production and operations management
Area of application fr
Production et gestion des opérations
Research subject code
1401
Research subject group en
Mining and mineral processing
Research subject group fr
Génie minier et minéral
Research subject en
Mining engineering
Research subject fr
Génie minier
Partie
1
Nb partie
5
Application title
Selection of optimal design alternatives under conditions of uncertainty in underground hard rock mine valuation studies through assessment of strategic robustness tooperating risk
Keyword
NSERC
Application summary
The focus of this work is driven by operating risk, as opposed to market or orebody uncertainty, to explore, using cash flow risk simulation, the robustness of operating design alternatives in a multivariable system through the long-range plan. In a world of widening competition and uncertainty, strategic adaptability is being increasingly recognized as critical to corporate success. Robustness refers to an operating system that performs adequately under ordinary conditions, but also under unusual conditions that stress the designers' assumptions. Unlike downstream ore processing, the Canadian Mining Industry has room to improve its performance forecasts, in order to enhance its competitiveness. A project valuation study requires risk assessment that links to bottom-line output project values. It has been realized in operating underground mines that the greatest scope for savings is presented during the early planning project valuation stage, under the constraint of limited information. Once ground is broken, the available alternatives diminish exponentially as the mine matures. Multivariable design constraints, the interdependence of problem variables and the uncertainty in determining the distribution of input variables are the challenges in building optimal strategies for forecasted scenarios. Operating uncertainty needs to be counterbalanced through the introduction of alternatives that introduce quality, and flexibility, in design.The proposed work addresses the acute need of the industry to increase the design robustness in mine feasibility and trade-off studies, for adaptability to uncertain operating conditions. The project will produce a valuation operating risk methodology for exploring essential flexible and quality alternatives through dynamic stochastic risk simulation by assessing the impact of time, cost, and mine revenue variables on a project's bottom line.