AAOM Handbook

[OFFICIAL]

INTERNAL USE ONLY

Table 1 - Example of performance data that may be required to build a BSP model

Mining

ROM

Processing

Purpose

To deliver ore to processing plant

To buffer variable demand

To generate product

Effectiveness

Tonnes of ore expit per day (t/day) to required quality

Number of days active (days) i.e. between Upper and Lower specifications Working capital/tonne of throughput

Tonnes of product per day (t/day) to required quality

Efficiency

$/t

$/t

For Sustainability measures, historical data will not be included in the BSP model, but performance forecasts shall be developed and presented as;

o a histogram of the distribution of HSE threat rating values and o a histogram of the distribution of Business threat rating values

3.3. Process and Cost Inputs

Each process contained in the Business Structure will have inputs parameters for both the waste production and valuable mineral production. Transform and Transfer: The accountable roleholder will assess historical data on a Control Chart of all Transform and Transfer processes to determine representative, stable operatinglevel (continuous distribution) that should be fitted for the specific process and its associated parameters. The parameters of the continuous distribution will be displayed as inputs in the BSP model, so that they can be updated when testing scenarios and suggesting performance levels. Representative, stable operating level (continuous distribution parameters) togetherwith dependent variation (discreet events) will be used to generate a full year of probable random outcomes as required to calibrate the model in ST.04 Store: Inputs for Store processes will be the start capacity of the stockpile (stock level) , the minimum effective level and the maximum capacity of the stockpile.

Operational Planning: Building a Business Structure Performance Model Page 9 of 39