Diagnose
Establish what the operation requires and what is actually happening.
Examine demand, turnaround, workflow, quality, assets, people, cost and operating constraints.
How We Work
Start with the decision, not the equipment
Mining operations require reliable information to make decisions. Sirius therefore works backwards from the decision the operation needs to make.
Mining decision to decision confidence
The laboratory is part of the information-production system.
- 01Mining Decision
- 02Information Required
- 03Analytical Demand
- 04Laboratory System
- 05Analytical Result
- 06Decision Confidence
Diagnose → Model → Design → Implement → Sustain
The Sirius Method
- 01
Diagnose
Demand, workflow, quality, cost, resources and constraints.
- 02
Model
Capacity, turnaround, staffing, equipment and scenario options.
- 03
Design
Operating model, workflow, systems, infrastructure and resource plan.
- 04
Implement
People, equipment, procedures, LIMS and controls.
- 05
Sustain
KPIs, QA/QC, governance and continuous improvement.
From requirement to sustained performance
Model
Quantify how the system behaves.
Model sample demand, capacity, equipment utilisation, workforce requirements, bottlenecks and alternative operating scenarios where required.
Design
Define the operating configuration needed to meet the requirement.
This may involve workflow, equipment, staffing, shifts, layout, analytical methods, information systems or operating-model changes.
Implement
Turn the agreed solution into working capability.
Implementation can include laboratory development, transition, commissioning, systems, recruitment, training and operational stabilisation.
Sustain
Make performance visible.
Monitor capacity, turnaround, productivity, quality, assets and cost so emerging constraints can be identified before they become persistent operating problems.
Method in practice
The laboratory is the how. Decision confidence is the why.
Chingola shows this approach through the development of operating capability. Bisha adds prior leadership experience in changing an operating model and strengthening control.