LEADER 00000nam  2200325   4500 
001    AAINR71893 
005    20111214135800.5 
008    111214s2011    ||||||||||||||||| ||eng d 
020    9780494718933 
035    (UMI)AAINR71893 
040    UMI|cUMI 
100 1  Maybee, Bryan Maxwell 
245 12 A Risk-based Evaluation Methodology for Underground Mine 
300    158 p 
500    Source: Dissertation Abstracts International, Volume: 72-
       06, Section: B, page:  
502    Thesis (Ph.D.)--Laurentian University (Canada), 2011 
520    Creating maximum value for shareholders with an acceptable
       risk level within the mine planning process under varying 
       economic and technical factors is becoming a reality. The 
       potential is for significant improvements to the value of 
       a project to be recognized, adding hundreds of millions of
       dollars in some cases. As design and scheduling tools 
       become more sophisticated, mine planners have the capacity
       to investigate and review numerous different mine 
       sequencing options to identify the best strategy. The 
       information required for mine planning decisions goes 
       beyond the external sources of uncertainty that are 
       recognized by typical evaluation techniques used in the 
       mining industry to include technical factors (e.g. mine 
       development layout) and the ability of a mineral 
       extraction project to achieve production levels. Due to 
       the uncertainty and individual characteristics that define
       underground mining projects, each will exhibit its own 
       individual risk profile, and thus more advanced evaluation
       techniques are required to capture this information in the
       underground mining context 
520    This thesis develops a Risk-based Evaluation Methodology 
       that recognizes both financial and technical scheduling 
       risk within the valuation of underground mining projects. 
       Its use provides decision-makers with more information 
       early in the mine planning cycle by investigating the 
       combination of planning and design methodologies with 
       evaluation techniques to identify, optimize and evaluate 
       strategies for mining extraction sequences 
520    This methodology differs from other evaluation techniques 
       in that it combines the standard evaluation practices used
       in the mining industry (Discounted Cash Flow, Real Options,
       Monte Carlo Simulation, etc.) with the concepts of Modem 
       Portfolio Theory to establish an evaluation methodology 
       that recognizes financial uncertainty in the context of 
       technical scheduling factors. Through study applications 
       in this thesis to demonstrate the use of the methodology, 
       it is shown that the inclusion of more information in the 
       decision-making process can not only provide a more 
       accurate valuation and allow for the recognition of risk, 
       but can also alter the ultimate decision that is made, as 
       the true characteristics of a project (and strategy) are 
       often not recognized when using a typical discounted cash 
       flow evaluation technique 
590    School code: 1100 
650  4 Economics, Finance 
650  4 Engineering, Mining 
690    0508 
690    0551 
710 2  Laurentian University (Canada) 
773 0  |tDissertation Abstracts International|g72-06B 
856 40 |uhttp://pqdd.sinica.edu.tw/twdaoapp/servlet/