Crystal Ball Downloadable Resources

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Mining, Oil and Gas

• Process Operating Costs with Applications in Mine Planning and Risk Analysis (pdf) 63.47 KB

  This paper discusses techniques for estimating treatment plant operating costs, including identification of high impact cost areas and expected key cost variations year by year.  

• Portfolio Optimisation applied to Acquisition Evaluation (pdf) 64.88 KB

  This paper describes some of the lessons learnt in building a portfolio model of petroleum assets. The example is based on the evaluation of an acquisition opportunity, a setting which imposed its own constraints on the methodology.  

• An Application of Portfolio optimisation with Risk Assessment to E&P Projects (pdf) 164.03 KB

   

• Optimising the Growth Portfolio of Kumba Resources (pdf) 302.81 KB

  The application and benefits of Monte Carlo simulation in optimising the growth portfolio of Kumba Resources, a diversified mining company based in South Africa.  

• Mine Project Valuation Using Monte Carlo Analysis - Example Model (zip) 14.71 KB

  A mining corporation is evaluating a small underground gold mining project containing an estimated one million ounces of gold.  

• Drill Bit Replacement - Example Model (zip) 32.72 KB

  When drilling wells in certain types of terrain, the performance of a drill bit erodes with time because of wear. The problem is to determine the optimum replacement policy; that is, the drilling cycle between replacements.  

Six Sigma

• The Use of Monte Carlo Simulation in Production Modeling (pdf) 209.59 KB

  Example of how Lockheed Martin uses Crystal Ball  

• Applying Crystal Ball to Transaction Process Analysis (pdf) 126.64 KB

  Crystal Ball can be utilised to evaluate process steps for their full range of variation and assess the impacts of binary events. Results from the analysis provide better assessments cycle time variation than an average approach.  

• Monte Carlo Simulation as Process Control Aid (pdf) 140.32 KB

  Statistically designed experiments (DOEs) have become an essential tool in many fields of research because they can lead to rapid learning and optimisation in less time and with less cost.  

Product Brochures

• What's new in Crystal Bal version 11.1.2.1 (pdf) 1.66 MB

   

• OptQuest (pdf) 315.33 KB

   

• Crystal Ball Enterprise Performance Management (pdf) 41.55 KB

   

• Crystal Ball Six Sigma (pdf) 40.53 KB

   

• Crystal Ball Education Alliance (pdf) 37.83 KB

   

Miscellaneous

• How to Build Uncertainties to Make Hospital Budgets More Realistic (pdf) 126.99 KB

   

Crystal Ball E-Newsletter

• How to obtain forecast value corresponding to a percentile directly on the spreadsheet (pdf) 224.14 KB

  This edition focuses on the CB.GetForePercent Crystal Ball function. Instead of having to go to the Forecast Chart, you can now view the corresponding forecast value directly on the spreadsheet.  

• Freezing cells from simulation runs (pdf) 310.49 KB

  The Freeze command lets you see the that effect certain cells have on the model while holding other assumptions to their spreadsheet values.  

• Obtaining consistent results between simulation runs (pdf) 112.67 KB

  This article addresses cases whereby users observe small variations in the output between simulation runs. The article provides an understanding of 'seed' values and how they can be used to ensure consistent outcomes.  

Support and Documentation

• Crystal Ball 11.1.2 User Guide (pdf) 11.36 MB

   

• Decision Optimiser 11.1.2 User Guide (pdf) 4.50 MB

   

• Developer's Guide Release 11.1.2 (pdf) 5.78 MB

   

• Predictor 11.1.2 User Guide (pdf) 2.57 MB

   

• Statistical Guide (pdf) 1.40 MB