Building manufacturing reliability from the inside out

When people hear the word reliable, they think of trust. A friend who shows up when they say they will. A car that starts on a cold morning. Manufacturing doesn’t get that certainty, and in fact reliability is one of the least tangible things on a plant floor, and one of the worst defined. Say the word out loud near the line and people point to maintenance, the techs keeping the machines running and the lights on. Fair enough, asset uptime matters. But if uptime is all reliability means to you, you’re thinking about it too small.

Why don’t we have a better definition for reliability? Well, part of the answer is that it’s hard to measure. Throughput, cycle time, OEE and first pass yield are the numbers that show up cleanly on a dashboard. What doesn’t show up is a customer’s confidence that you’ll deliver on time, in full, on budget and to spec. There’s no column for that in a spreadsheet.

And that confidence is exactly what breaks when a line goes down, a quality failure occurs, or a delivery is missed. The production loss is the easy number to find, but it’s harder to put a number on everything after: the expedited freight to cover a missed shipment, the supplier who quietly moves you down their priority list, the customer who starts sourcing a backup. Those costs compound.

A business’s reliability isn’t decided in the boardroom. It’s built, or broken, on the shop floor, where problems hide. A problem nobody sees is a problem that keeps happening, and recurrence becomes variance: a missed date, an out-of-spec batch, an auditor’s finding.

Leaders are consistently more optimistic about their company’s reliability than the people closest to it. A commissioned study conducted by Forrester Consulting on behalf of Mitti found 72% of leaders believed operational reliability had improved over the past year. Only 33% of frontline supervisors agreed. That’s a big part of why the same problems keep resurfacing.

Nobody’s arguing whether improvement matters. Both sides agree on that: 78% of supervisors and 83% of leaders call worker-centric, daily improvement essential. Where they differ is whether it’s actually happening. Only 39% of supervisors say it’s the reality today. 72% of leaders think it already is.

Tools are supposed to close that gap. Mostly, they don’t. Just 20% of supervisors strongly agree their digital systems give them the visibility to act on a problem in time, against 45% of decision makers. And when an improvement initiative fails, the two groups don’t see it the same way: 25% of supervisors call the result a safety or quality outcome, compared to just 8% of decision makers. The people closest to the line are three times more likely to watch a failure turn into an actual defect or incident.

This is a visibility problem, not a communication one. Frontline teams see the risks and near misses every day but, without a way to get that in front of leadership, it never reaches the people making reliability promises to customers and auditors. Leave it unresolved and the gap only widens: leadership invests in the wrong fixes, frontline teams keep firefighting the same issues, and every reliability claim made externally rests on optimism instead of evidence.

Reliability depends on real-time visibility into what’s happening at the point of work. That means digitised checklists, inspections, corrective actions and training records, captured as data instead of buried in someone’s notebook. Getting there pays off in more than one way: fewer errors on the inside, a better end product on the outside, and live analytics that keep manufacturers audit-ready when a regulator or auditor comes calling.

William Hare, one of the UK’s leading steel contractors, is a good example. The 2,000-person company, which has worked on projects like 2 Finsbury Avenue and Hinkley Point Nuclear Power Station, spent 10 years moving off paper and onto Mitti’s connected digital system. The result: more than 180,000 inspections completed digitally, 1 million sheets of paper saved, and over 500 templates standardising the work.

It solved a problem paper never could: visibility. Issues that once sat buried in filing cabinets now surface immediately, so fixes happen faster and problems stop recurring. When auditors ask questions, the teams answer live from a dashboard, no prep required. That’s the foundation of William Hare’s “right first time” approach. Give the shop floor the tools to get it right, and reliability follows.

Getting off paper is the foundation, not the finish line. Most manufacturing sites now run digital systems for safety, quality, maintenance and operations, but 59% of supervisors still say their workflows are fragmented because those systems don’t talk to each other. Forrester’s recommendation is blunt: don’t replace paperwork with digital paperwork. Make digital tools drive action, not just documentation. A system that records a defect isn’t the same as one that gets it fixed before the next shift, and most manufacturers only have the first.

Reliability is a variance problem, and variance comes down to how long a problem stays open. One defect, found and fixed, barely moves the number. The same defect recurring across three shifts, because nobody closed the loop, is what breaks a delivery promise.

AI earns its keep here. Applied to inspection records, issue reports and training histories captured mid-shift by the people doing the work, it can tell a supervisor what’s changed across their site without anyone building a report, and chase the follow-ups that would otherwise sit in an inbox until someone remembers.

Forrester found the same pattern in the manufacturing data. Give supervisors both the authority to act and consistent follow-through on what they raise, and seven in 10 succeed in nearly all their improvement initiatives. Take either away, and that success rate drops to two in 10.

Reliability is built from within and that starts with facing the shop floor as it actually is, not as leadership hopes it is, because there are almost certainly more risks and problems down there than anyone at the top wants to admit. Collect the evidence, then act on it while it still matters.

That’s the same trust a friend earns by showing up, or a car earns by starting on a cold morning: proof, repeated often enough that you stop expecting anything less. And it compounds the same way the costs of losing it do, just in the other direction.

There’s still no simple way to earn or measure reliability in manufacturing. But building it from within is the best place to start.

For more information, visit https://mitti.com/manufacturing