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MINING
When Equipment Fails, Parts Position Determines Recovery Time

Equipment failures are unavoidable in mining. Extended downtime isn't. Excessive inventory investment shouldn't be either.

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Discover how it's possible to spend less on inventory and increase uptime.

2:14 AM - Pilbara iron ore mine

​Your primary conveyor system shows critical bearing temperature spikes. Production halt imminent. The bearing will fail—that's inevitable with massive equipment in extreme conditions.

But here's the nightmare

You're holding $47 million in spare parts inventory across your network, yet you still don't have this specific bearing positioned locally. It sits in a regional hub 400 kilometers away.

14 hours later - Production finally resumes

Cost: $2.6 million in lost production. Plus $12,000 for the expedited emergency freight. Not to mention the domino effect on shipping schedules.

Wednesday morning - Post-mortem

 Your CFO want to know: "We’ve tied up $47 million in inventory - 12% of our working capital - how are we still losing $2.6 million to missing parts?"

The brutal paradox exposed

Massive inventory investments that fail when it matters most. You're paying millions for the illusion of preparedness, not actual availability when and where equipment fails.

You're not alone

Mining operations globally hold billions in spare parts inventory while still experiencing extended downtime crises that cost more than the inventory was meant to prevent.

Right Parts • Right Place • Right Time • Right Cost
The AI-Driven Intelligence Revolution

Caught between massive inventory costs and multi-million-dollar downtime, leading organisations are recognising a new approach: Advanced AI-driven parts intelligence that orchestrates your spares network.

SC Analytix with PTC Servigistics transforms how parts are positioned across your network to optimise operational availability while minimising total inventory investment.

Combined with SC Analytix PTC Servigistics delivers

Anticipate failures before sensor alerts trigger, using digital twins to model 1,000s of scenarios
AI-Powereed Network Optimization

SC Analytix applies proven AI optimization across critical dimensions of parts management, delivering strategic levers that transform operations from reactive to predictive.

Strategic Parts Positioning

•    Forward positioning for critical parts at failure locations with optimized service levels
•    Strategic distribution based on failure patterns, repair frequency and supplier performance
•    Site-specific optimization considering transport constraints and emergency access realities
•    Multi-site pooling strategies maximizing part utilization across your network

Up to 60% Improvement in forecast accuracy

Up to 35% Improvement in inventory turns

15-35% Inventory investment reduction

Up to 15% Improvement in operational availability

Up to 80% Reduction in emergency and expediting costs

Transform Your Operations Now

 Operations & Value Assessment

SC Analytix will perform a strategic analysis of your current parts positioning and inventory distribution across your network.

What you will discover:

Positioning optimization opportunities to slash crisis response times

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Inventory rebalancing scenarios cutting costs while boosting availability

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Network efficiency improvements maximizing utilization across sites

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Investment optimization scenarios showing service level trade-offs

What you will get:

Whether you move forward with full implementation or not, you'll walk away with concrete, actionable intelligence about your parts network performance and optimization opportunities including


 ROI projections tailored to your network characteristics and operational patterns


 Cost reduction opportunities through inventory optimization and strategic positioning


 Availability improvement potential across critical equipment and operations


 Implementation roadmap with prioritized recommendations

Ready to find out how much value is trapped in your inventory?

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Bridging the Gap

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