Fragmentation Driven Continuous Improvement Process™

To help make the most out of mining and process resources Seekers Strategic Solutions is offering the Fragmentation Driven Continuous Improvement Process™ - FDCIP™. A combination of unique process and supporting technologies creates the platform for maximizing asset’s productivity and reducing operational cost.

Seekers Strategic Solutions provides FDCIP™ tools, training and support thru the implementation until the tools and the process becomes an integral part of the operation.

 

 

This method utilizes the OODA continuous loop –

·        Monitors and compares the fragmentation in different locations in the process

·        Attributes the findings to performance indicators.

·        Compares the results to benchmarks.

·        Simulates alternate scenarios for improvement, and

·        Presents the downstream contribution effect.

The technologies utilized in this process are -   fragmentation photo analyses, mobile equipment and process monitoring tools. The advantage of the concept is the integration of the tools to create aHead’s Up Display – HUD. The process starts with defining the operations objectives, identifying tools and restrictions.

 

The Objective

IMPLEMENT THE FDCIP HUD BY ANALYZING COLLECTED DATA UTILIZING:

·     Fragmentation analyses tools including drone imaging and WipWare software.

·      HME performance monitoring tools / MISOM’s FARA

·      Process data collection tools.

·      Performance simulation tool such as AggFlow.

In order to establish correlations between all aspects of the process, identify cause & effects to support decision making as a part of Continuous Improvement to increase downstream contribution and reduce operating cost as an ongoing process.

 

 
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The Method

Collect data utilizing :WipWare fragmentation analyses tools (including drone produced images), 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 increase downstream 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.