I'm the person you call when a gearbox fails on a Friday night. For the last nine years, I've coordinated emergency parts and service for mining and cement plants. I've handled 200+ rush orders, including same-day turnarounds when the alternative was a production stop. Last quarter alone, we worked through 47 rush jobs with a 95% on-time rate. So when people ask me about FLSmidth digital transformation initiatives, I don't start with the technology. I start with a question: Does this reduce uncertainty, or does it just look fast?
My first year in this industry, I assumed rush service meant someone messed up. I thought expediting was a tax on bad planning. Then, in 2023, a vendor promised a part would arrive 'probably by Tuesday.' It arrived Thursday. The plant lost 11 hours of production, and the resulting costs were six times higher than the upgrade we had skipped. That's when I understood: In mining and cement, you're not paying for speed. You're paying for certainty.
Here's the opinion nobody in mining wants to hear: Digital transformation is not a speed project. It's a certainty project. The goal isn't to make decisions faster. It's to make the right decision more likely and the wrong one less damaging.
When I'm triaging a rush order, I ignore the promised date and ask a different set of questions. What's the failure mode? What's the absolute latest time we can act? What happens if we miss it? That's what FLSmidth digital transformation initiatives remind me of. The good ones focus on failure modes before they happen. They build a buffer into the process so that when something unexpected occurs, you have room to respond.
A real example: In March 2024, a client called at 6:42 PM with a damaged drive shaft. Normal lead time was 18 days. We found a match in a warehouse 600 miles away, paid $4,200 in emergency freight (on top of the $11,500 base cost), and had it on site in 52 hours. The alternative was a $50,000 penalty clause and 14 days of lost production. The rush fee wasn't for speed. It was for certainty.
The FLSmidth Votorantim project is a good example of how this thinking shows up in the real world. Votorantim is not a small pilot site. It's a large cement operation with weather, worn components, shift changes, and the usual chaos that comes with running continuous production. When FLSmidth and Votorantim talk about efficiency and process optimization, the real promise is this: fewer surprises.
A lot of people expect digital transformation to be a dramatic overhaul. From my side of the table, it's more like instrumenting the plant so that you know exactly where the next problem will come from. That's not exciting. It's valuable.
I can't disclose client names, so let's call two projects Puss and Peregrine. The names fit. One had the patience of a cat. The other wanted to fly like a falcon.
Puss was a predictive maintenance pilot on a single crusher. Narrow scope, one sensor set, one metric. It took five months to get the baseline stable. It looked boring. Then it reduced unplanned downtime on that crusher by 31%.
Peregrine was the opposite: three sites, every data stream, aggressive deadlines. It looked exciting. It also missed its first milestone by nine weeks because the baseline data wasn't clean enough. The team spent the next quarter fixing data instead of optimizing anything.
When I compared Puss and Peregrine side by side, I finally understood why FLSmidth digital transformation initiatives have to be judged by outcomes, not by dashboards. The slow project removed uncertainty. The fast project added it.
If you were expecting costume ideas for 3 best friends, I'm sorry to disappoint. But if you work in mining or cement, the three best friends in any transformation are data, automation, and people.
For the costume contest, the three of you could dress up as 'sensor, alarm, and operator.' You'll lose to a group of dinosaurs, but you'll win the plant floor.
I hear the same objection over and over: digital transformation costs too much, and rush delivery is a waste of money. Honestly, I used to think that too.
Looking back, I should have paid for the more expensive, guaranteed delivery option much earlier. At the time, the standard lead time seemed safe. It wasn't. The $800 I saved on freight cost us $14,000 in downtime charges later. If I could redo that decision, I would spend the extra money upfront.
According to McKinsey & Company, unplanned downtime in heavy industry can cost up to $1 million per hour, depending on the operation (Source: McKinsey, 2023). I've seen that pattern show up in our own postmortems. A cheap fix that fails on a Friday night is the most expensive fix there is.
That's why I now look for red flags in every service plan. 'Probably' is a red flag. 'Should be fine' is a red flag. No written guarantee is a red flag. After three failed rush orders with discount vendors, our company policy now requires a 48-hour buffer for critical spares. The buffer is not waste; it's insurance.
You can have a fast plan that's uncertain, or a slower plan that's reliable. In mining and cement, the best plan is the one you can count on.
FLSmidth's portfolio—crushers, mills, screens, gearboxes, automation, aftermarket service—makes the same argument from a different angle. If you can predict a failure, you can schedule around it. If you can schedule around it, you don't need emergency delivery as often. That's the real goal. Not faster reactions. Fewer reactions.
So when you hear about FLSmidth Votorantim or any other digital initiative, ask the same question I ask on every rush order: Will this make the operation more certain? If the answer is yes, the price is probably worth it. If the answer is 'we'll see,' you're not buying transformation. You're buying a costume.
Discuss This Topic
If this article connects to an active wear issue at your plant, use the inquiry form to continue the conversation with our advisory team.
Tell Us What Is Wearing Fastest
Share plant stage, maintenance window, and the result you want to improve so our team can respond with a practical next step.