Operational Performance Diagnostic (OPD) Methodology

The Operational Performance Diagnostic is structured around a classic DMAIC framework, adapted for hard-rock mining and grounded in the Physics of the Continuum.

a close up of a white wall with wavy lines

Phases

Phase 0: Align and Scope

Setting clear boundary conditions. CONTINUUMOPS positions the engagement as an engineering diagnostic, identifying physical constraints rooted in continuum mechanics.

Phase 1: Data Readiness Audit (The Integration of the Triad)

The OPD explicitly targets the Data Triad, recognizing value loss in silos between geological/blast data, FMS data, and plant historian data.

Quantification (Physics of the Continuum)

Phase 2 & 3: Diagnostic and Opportunity

Geological/Blast Data:

Block models, drill patterns, explosive designs, blast timing, fragmentation assessments.

FMS Data:

Payload data, cycle times, fuel consumption. Critical addition linking blast to haulage.

Plant Historian Data:

Throughput, power draw, particle size analysis.

By auditing connectivity, CONTINUUMOPS identifies "Data Waste" where value is lost.

This phase traces energy application across the entire chain, modelling complex interactions:

The Blast-Load Link (Diggability):

Poor fragmentation reduces shovel productivity by 10–20%. Improving fragmentation improves productivity by 10–20%.8

The Load-Haul Link (Payload and Fuel):

Haulage accounts for 40–50% of mine energy.6 Optimizing blast design enables target payload consistency.

The Crush-Grind Link (Throughput):

Finer feed size to SAG mill reduces specific energy and increases circuit throughput. Comprehensive mine-to-mill performance projects routinely deliver 10–20% increases in throughput and 10–15% reductions in energy consumption.

Key Metric:

Total Specific Energy (kWh/t equivalent)

The OPD calculates the total specific energy by summing the explosive, diesel, and electrical comminution energies. This shows integrated cost-benefit across the continuum.

Phase 4: Control & Sustain

Embedding Insight into Operational Governance

The final phase connects the Continuum Physics System (CPS), the Context Engine Insight Layer to ongoing operational governance, aligning with the DMAIC “Control” phase.

This phase ensures improvements are:

Embedded into site KPIs and reporting cadence.

Tracked through Total Specific Energy (TSE) monitoring.

Validated through structured variance review.

Protected against performance regression.

Control is not dashboard monitoring.

It is structured performance governance grounded in physics-based measurement.

Measurement & Verification (M&V) Framework

All performance claims are validated under a structured M&V protocol:

Baseline Normalization:

Adjusted for ore hardness, feed variability, and operating conditions.

Controlled Operational Trials

Structured A/B or phased deployment analysis.

Conservative Value Attribution

Improvement claims weighted by confidence intervals

Executive Audit Trail

Transparent methodology documentation

Methodology Applied Through the OPD

This methodology is operationalized through the Operational Performance Diagnostic (OPD), a structured 6–12 week engagement that applies CPS modeling, TSE quantification, and structured M&V protocols to your site.

Schedule your free 45-minute diagnostic conversation to begin.

The OPD converts methodology into quantified opportunity.