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The Enterprise Solution to Integrating Blasting into the Mining Process

David P. Lilly, P.E., MBA, DynoConsult, Pawleys Island, S.C., USA

Moe Dann, Lafarge North America, Oakville, ON, Canada

John Cory, Lafarge North America, Ottawa, ON, Canada

ABSTRACT

Previous papers have described the use of statistics to integrate blasting into the mining process to increase productivity ("A Statistical Approach to Integrating Blasting into the Mining Process," Oxford 2007; and "Factors Driving Continuous Blasting Improvement at the Lafarge Ravena Plant," Nashville 2007).  Further work was described in another paper developing the techniques to selectively produce high margin aggregate sizes incorporating statistical principles and extensive databases ("Aggregate Size Optimisation Program at the Lafarge Marblehead Plant" Perth, 2007).

This paper elaborates the process and indicates methods to maximize total enterprise returns starting from basic explosive physical processes to final profitability analysis.

The authors have embarked on an ambitious information management project.  The technique involves the combination of blasting and mining databases with the further refinements of predictive product forecasting, cost forecasting and profitability forecasting.  The system will provide more workers with access to high quality data that can help the move towards more analytics (the linking of various metrics to drive business performance).  mine level processes and systems are being integrated with the processes and systems of the extended enterprise so that operators and business managers alike have better, up-to-date visibility not only in how well a mining process is operating in isolation but how well it is contributing overall to profitability, return on assets, and production goals.
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