Uncertainty modelling in underground mine planning and scheduling - Part 2

Project Member(s): Memar, J., Gu, H.

Funding or Partner Organisation: Datamine Australia Pty Ltd
Datamine Australia Pty Ltd

Start year: 2023

Summary: This is an extension project to PRO22-14660 and will involve: 1. Literature review covering: • Chance/Probabilistic Constraints approach • Stochastic Dominance approach • Risk measures including variance, VaR, CVaR and more recent developments • Mathematical solutions o static stochastic programming o two-stage stochastic programming o Multi-state stochastic programming o Large scale problems with exogenous and/or endogenous uncertainties • Mining industry research applications • Applications in other industries 2. Risk-averse stochastic programming prototype for RCPSP • Sources of variability o Grade uncertainty only (see Faria, note that two-stage is equivalent to deterministic) o Grade and duration uncertainty (see Peter) • Investigation of risk measures that can be supported by the current prototype, e.g., variance, semi-deviation, etc. • Solution assessment and risk analysis on the new test data that will be provided by Datamine • Comparison with risk-neutral solutions 3. Workshops with Alford Mining Systems (at least two at Melbourne), technical discussions and reporting

FOR Codes: Primary mining and extraction of minerals, Operations research

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.