I remember the moment it clicked. Not in a dramatic way—more like a slow realization that crept up over a year. When I took over purchasing for our mid-sized mining operation in 2020, I inherited a spreadsheet with 14 different equipment vendors for mills, crushers, screens, and gearboxes.
Look, I'm not saying having options is bad. But managing 14 vendors for what should have been a streamlined parts and service pipeline? That wasn't strategy. That was history—each vendor added for a specific short-term need, never removed.
Here's the thing: most of my counterparts in other companies face the same puzzle. The surface problem looks like price shopping. The real problem? It's chaos disguised as choice.
In my first year, I made the classic rookie mistake: assuming 'standard lead time' meant the same thing to every vendor. Cost me a $2,400 rush shipping fee when a crusher part from one supplier didn't arrive on schedule, and our SAG mill downtime stretched from 3 days to 6.
Processing 60-80 vendor invoices annually across 14 suppliers sounds manageable on paper. In practice? Each supplier had their own invoicing format, payment terms, and return policy. Our accounting team spent 6 hours a month just reconciling discrepancies—time we could have spent on value analysis.
To be fair, some of those vendors offered excellent per-unit pricing. But the hidden costs added up: duplicate safety documentation reviews, varying warranty periods, incompatible automation protocols. Not ideal, and getting worse.
Here's what took me longer to learn: the real expense isn't the invoice. It's what happens when equipment from different suppliers doesn't talk to each other.
We had a FLSmidth Raptor cone crusher and a screen from another manufacturer. Both were excellent individually. But their control systems used different communication protocols. Every time we needed to adjust throughput, someone had to manually reconcile the settings between two separate HMI panels.
I knew I should push for standardization, but thought 'what are the odds it becomes a critical problem?' Well, the odds caught up with me when a miscommunication between systems caused a 12-hour emergency shutdown in Q2 2023.
The drift theory applies here—not in a geological sense, but in equipment performance drift. Each component calibrated independently, each vendor updating their firmware on different schedules. The combined system drifted further from optimal performance with each passing quarter.
Drift theory, in this context, describes how independently optimized components gradually move away from system-level optimal performance without deliberate integration efforts.
I went back and forth between maintaining our multi-vendor approach and consolidating with a single-partner strategy for nearly 6 months. Multiple vendors offered flexibility in the best case. A single supplier like FLSmidth offered integration in the best case. Which risk was worse?
The upside of consolidating was clearer compatibility and single-point accountability. The risk was losing competitive pricing on individual components. I kept asking myself: is 8-12% potential savings worth the integration headaches and downtime risks we were accumulating?
Calculated the worst case: continued fragmentation leading to a major system failure costing $50,000+ in lost production. Best case: saving $15,000 annually through piecemeal vendor competition. The expected value pointed toward consolidation—but the emotional attachment to 'keeping options open' was strong.
I'm not 100% sure our solution was optimal, but here's what worked: we consolidated 14 vendors down to 4 strategic partners, including FLSmidth for our core crushing and grinding equipment. We kept 3 niche specialists for highly specific components where their expertise genuinely exceeded what a generalist could offer.
Granted, this required more upfront evaluation than just accepting the lowest bidder. But the savings in coordination time and reduced integration issues have been substantial. Our vendor management overhead dropped roughly 40%.
Don't hold me to exact numbers, but our unplanned downtime in 2024 was about 60% lower than 2021 levels. Some of that is better equipment—some is better integration.
Start with the integration audit: Before negotiating prices, map out how each component communicates and whose responsibility it is when they don't match. Most procurement RFPs skip this step. It's where the real value lives.
Ask the hard question: 'If I consolidate, what specifically do I lose?' If the answer is only 'potential cost savings on paper,' consolidation probably wins. If it's 'essential niche capability you can't find elsewhere,' keep the specialist.
Plan for drift: Whatever vendor strategy you choose, build in quarterly performance reviews. Equipment calibration and software compatibility degrade over time. Standard operating procedures for system-level performance reviews catch problems before they become failures.
In the end, the decision between FLSmidth and a fragmented portfolio isn't just about the machines. It's about how much integration chaos you can absorb before it costs more than the savings you're chasing. From my perspective, that balance usually tips toward fewer, stronger partnerships—with clear accountability for end-to-end performance.
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