Method:

Collect data utilizing :WipWare fragmentation analyses tools including drone, HME performance monitoring tools / MISOM’s FARA, Existing on site process collection tools and AggFlow performance simulation tool.

In order to establish correlation between the different types of data, identify cause & effects to support decision making as a part of Continuous Improvement to increasedownstream contribution and reduce operating cost by:

1.      On site data collection with minimal interference to current site day to day operations and utilizing, crusher performance monitoring, Fragmentation Photo Analyses and Mobile equipment monitoring system OEM or generic.

2.      Pushing the   data up the information hierarchy to knowledge level and identifying avenues for continuous improvement actions by creating a theoretical benchmark to be calibrated by the baseline (once a loop is closed the process should be repeated) utilizing AggFlow and Situational Awareness Generator (SAG) basic functions.

3.      Creating a format for presenting the process and the conclusions, and presenting the first loop (the baseline) as a case study of the opportunities.