Real Option Identification Framework for Mine Operational Decision-Making

QR Code

Real Option Identification Framework for Mine Operational Decision-Making

Identification of opportunities for applying real options (RO) in mining operations is a major challenge to decision-makers. In order to make optimal decisions in uncertain times, managers require a full understanding of the relationships between risk, uncertainty and flexibility. RO analysis, which...

Full description

Bibliographic Details
Main Authors:	Ajak, A., Lilford, Eric, Topal, Erkan
Format:	Journal Article
Published:	Springer 2018
Online Access:	http://hdl.handle.net/20.500.11937/73781

Similar Items

Real option in action: An example of flexible decision making at a mine operational level
by: Ajak, A., et al.
Published: (2015)

Valuing the unknown: could the real options have redeemed the ailing Western Australian junior iron ore operations in 2013–2016 iron price crash
by: Ajak, A., et al.
Published: (2018)

Application of the Real Options in Engineering Design and Decision Making: Focus on Mine Design and Planning at Operational Level
by: Ajak, Ajak Duany
Published: (2018)

Application of predictive data mining to create mine plan flexibility in the face of geological uncertainty
by: Ajak, A., et al.
Published: (2017)

A numerical study for a mining project using real options valuation under commodity price uncertainty
by: Haque, M, et al.
Published: (2014)

Evaluation of a mining project under the joint effect of commodity price and exchange rate uncertainties using real options valuation
by: Haque, Md Aminul, et al.
Published: (2016)

Evaluation of a mining project using Discounted Cash Flow analysis, Decision Tree analysis, Monte Carlo Simulation and Real Options using an example
by: Topal, Erkan
Published: (2008)

Estimation of Mining Project Values Through Real Option Valuation Using a Combination of Hedging Strategy and a Mean Reversion Commodity Price
by: Aminul Haque, M., et al.
Published: (2016)

Strategic mine planning model using network flow model and real case application
by: Topal, Erkan, et al.
Published: (2012)

Robust, flexible and operational mine design strategies
by: Groeneveld, Benjamin James, et al.
Published: (2012)

The future of underground mine planning in the era of machine learning: Opportunities for engineering robustness and flexibility
by: Chimunhu, Prosper, et al.
Published: (2024)

Developments in Mine Design, Planning and Scheduling in Open Cut Mining
by: Saydam, S., et al.
Published: (2012)

New approach for estimating total mining costs in surface coal mines
by: Shafiee, S., et al.
Published: (2012)

Net present value maximisation model for optimum cut-off grade policy of open pit mining operations
by: Asad, M., et al.
Published: (2011)

Mining (Australia)
by: Topal, Erkan, et al.
Published: (2012)

A new mathematical programming model for production schedule optimisation in underground mining operations
by: Nehring, M., et al.
Published: (2010)

Mining truck scheduling with stochastic maintenance cost
by: Topal, Erkan, et al.
Published: (2012)

Mine waste rock management
by: Topal, Erkan, et al.
Published: (2012)

Current Tools, Techniques and Gaps in Evaluating Mine Closure
by: Lilford, Eric
Published: (2022)

Real options valuation for mining projects under dual economic uncertainty
by: Haque, Md Aminul
Published: (2016)

A new MIP model for mine equipment scheduling by minimizing maintenance cost
by: Topal, Erkan, et al.
Published: (2010)

Real Option Valuation of Mineral Exploration/Mining Projects using Decision Trees - Differentiating Market Risk from Private Risk
by: Guj, Pietro, et al.
Published: (2012)

Flexible open-pit mine design under uncertainty
by: Groeneveld, Ben, et al.
Published: (2011)

Optimising the long-term mine waste management and truck schedule in a largescale open pit mine
by: Li, Y., et al.
Published: (2016)

Using Clustering Methods for Open Pit Mine Production Scheduling
by: Ren, H., et al.
Published: (2014)

Dilution prediction in underground open stope mining using gene expression programming and backpropagation artificial neural network algorithms
by: Chimunhu, Prosper, et al.
Published: (2025)

Transformation of the Australian mining industry and future prospects
by: Jang, Hyong Doo, et al.
Published: (2020)

A review of soft computing technology applications in several mining problems
by: Jang, H., et al.
Published: (2014)

Mining Taxation Reconciling the Interests of Government and Industry
by: Lilford, Eric, et al.
Published: (2020)

Relationship between the gold price and the Australian dollar - US dollar exchange rate
by: Haque, M., et al.
Published: (2015)

Iron ore prices and the value of the Australian dollar
by: Haque, M., et al.
Published: (2015)

Evaluating a framework for making outsourcing decisions in pharmaceutical clinical trial operations
by: Granger, Monique
Published: (2021)

Decision support system of unplanned dilution and ore-loss in underground stoping operations using a neuro-fuzzy system
by: Jang, Hyong Doo, et al.
Published: (2015)

Optimising the long term mine landform progression and truck hour schedule in a large scale open pit mine using mixed integer programming
by: Li, Y., et al.
Published: (2018)

Improving Capital Budgeting Decision With Real Options: A Theoretical And Practical Perspective
by: Hien, Chin Vui
Published: (2009)

Optimising the Long-term Mine Waste Dump Progression and Truck Hour Schedule in a Large-scale Open Pit Mine Using Mixed Integer Programming
by: Li, Y, et al.
Published: (2014)

A new methodology for flexible mine design
by: Groeneveld, B., et al.
Published: (2018)

Integrated Optimization of Underground Mine Design and Scheduling
by: Little, J, et al.
Published: (2013)

Strategies to assist in obtaining an optimal solution for an underground mine planning problem using Mixed Integer Programming
by: Little, J., et al.
Published: (2011)

Robust versus Flexible Open Pit Mine Design
by: Topal, Erkan, et al.
Published: (2010)

Cannot write session to /tmp/vufind_sessions/sess_k0adhcn6pd84u4dm8r4f1f67md