Some of the most candid conversations I have are with plastics and packaging leaders. They aren’t asking whether downtime is expensive, because they already know. They’re asking how to make that case to finance. This piece is my answer to that question.
Key Points
- In plastics and packaging, unplanned downtime doesn't just raise maintenance costs. It delays shipments, consumes margin and puts customer relationships at risk.
- Industrial plants report a median of $125,000 per hour of unplanned downtime, and more than two thirds face an unplanned outage at least once a month (ABB, 2023).
- Reliability investments often stall because they're pitched as maintenance spending. They get approved when they're framed as protecting revenue, margin and capacity.
- A strong business case rests on three numbers: what downtime costs you today, how much of it is preventable and what it costs to prevent it.
- Waiting carries its own risk. Skilled maintenance labor is getting harder to find, and customers have less patience for missed deliveries.
Downtime Is a Revenue Problem
In most plastics and packaging companies, reliability sits in the maintenance budget. It gets discussed in terms of work orders, spare parts and technician hours. And when budgets tighten, it's one of the first places leaders look to cut.
That framing costs companies more than they realize.
When an extruder or a central chiller fails, the damage doesn't stay on the maintenance floor. Product doesn't ship. Margin disappears into scrap and overtime. A customer who planned their own production around your delivery has to scramble. In packaging especially, you're part of someone else's supply chain, and every missed shipment tests that relationship.
That's a revenue problem. It affects what you can sell, what you keep and whether customers come back.
The plants that treat reliability as a revenue strategy make different decisions. They fund it differently, measure it differently and talk about it differently in the boardroom. Here's how to make that shift, starting with where the money actually goes.
Where the Money Actually Goes
Ask most plants what a breakdown costs, and you'll get the repair bill. The full cost is spread across several budgets, which is why it's so easy to underestimate.
| Cost | Where it shows up | Typically tied to failure? |
|---|---|---|
| Repair parts and labor | Maintenance budget | Yes |
| Lost production | Output and revenue reports | Sometimes |
| Scrapped and purged material | Scrap and yield reports | Rarely |
| Overtime | Labor costs | Rarely |
| Expedited parts and freight | Purchasing and logistics | Rarely |
| Late or short shipments | Customer service and sales | Almost never |
| Customer confidence | Renewals and share of wallet | Almost never |
The costs at the bottom of that table are the ones executives care about most. They're also the ones least likely to appear in a downtime report. When a breakdown is measured only by its repair bill, reliability will always look like a small line item. When it's measured by everything it touches, it looks like what it is: one of the largest controllable risks to revenue and margin in the plant.
For scale, industrial plants report a median of $125,000 per hour of unplanned downtime (ABB, 2023). At that rate, a single lost shift is roughly a $1 million event. Your number will differ, but the point holds: the true cost is far larger than any one budget shows.
Why the Budget Conversation Stalls
Most operations leaders already know their plant needs to move beyond run-to-failure. Yet in ABB's survey, 21% of industrial businesses still rely on it, and another 45% use time-based schedules (ABB, 2023). Reliability projects stall for a few predictable reasons.
They're pitched in the wrong language. A proposal built around sensors, vibration and alerts asks the CFO to evaluate technology. A proposal built around protected revenue, margin and capacity asks them to evaluate a business decision. The second one gets a much better hearing.
The cost of doing nothing is invisible. Because downtime costs are scattered across budgets, the status quo looks free. A new investment looks like new spending. Until someone adds up the true cost of last year's failures, the comparison is lopsided.
The ask is too big. A plant-wide rollout across every asset is a hard first approval. A focused pilot on the handful of machines that put the most revenue at risk is far easier to say yes to, and it produces the proof for the next phase.
Each of these is fixable. It starts with building the case the way a CFO would.
Building a Business Case Your CFO Will Approve
A strong case answers three questions: What does downtime cost us today? How much of it can we prevent? What does it cost to prevent it?
1. Add up the true cost of last year's failures. Start with your critical lines. Pull unplanned downtime hours, then multiply by lost margin per hour. Add scrap, overtime and expedited freight tied to those events. Include late shipments and any customer penalties or credits.
2. Estimate what's preventable. Not every failure can be predicted, and the case is stronger when you don't pretend otherwise. Focus on mechanical failures in rotating equipment like gearboxes, motors, pumps, compressors and chillers, which usually give off warning signs weeks in advance. Use a conservative share.
3. Compare it to the cost of a focused program. Size the investment to a pilot on your highest-risk assets, not the whole plant.
Here's how that math might look for an illustrative mid-sized plastics plant. These are example figures, not a customer's results.
| Line item | Illustrative figure |
|---|---|
| Unplanned downtime on critical lines, past year | 120 hours |
| Lost margin per hour | $15,000 |
| Lost margin from downtime | $1,800,000 |
| Scrap, overtime and expedited freight | $300,000 |
| Total cost of unplanned downtime | $2,100,000 |
| Conservative preventable share (one third) | $700,000 per year |
Set against the cost of a focused program, that's a decision a CFO can evaluate on its merits. And it leaves out the costs that are hardest to price, like a customer who quietly moves volume to another supplier.
4. Define success in executive terms. Agree up front on the metrics you'll report: unplanned downtime hours, OEE, scrap rate, on-time delivery and maintenance cost. Then report them every quarter, the same way you would any other investment.
Why Now
Run-to-failure has always been expensive. What's changing is how much risk it carries.
The people who kept it working are leaving. U.S. manufacturing could need as many as 3.8 million new workers by 2033, and 1.9 million of those jobs could go unfilled (Manufacturing Institute, 2024). Many plants have quietly relied on veteran technicians who could hear a failing bearing from across the room. As they retire, that safety net goes with them.
Customers are less forgiving. Packaging buyers run lean, too. When your shipment is late, their line can stop. Reliability is becoming part of how customers choose and keep suppliers, which makes it a competitive issue, not just an operational one.
Margins have less room for waste. Every purged batch and scrapped run comes straight out of margin. For companies with waste-reduction or recycled-content commitments, scrap also works against promises made to customers and boards.
The longer a plant waits, the more of its reliability depends on luck and a shrinking group of experts. That's not a risk most leadership teams would accept anywhere else in the business.
Where Tractian Fits
At Tractian, we help manufacturers protect revenue by keeping their critical assets healthy. Our condition monitoring tracks the health of your machines around the clock and flags issues like bearing wear, misalignment, and lubrication problems weeks before they stop a line. That early warning turns risk into a plan: repairs get scheduled around production, orders ship on time, and capacity stays where your customers need it.
In an independent study, Verdantix modeled the impact of Tractian on a mid-sized manufacturer. It found a 401% three-year ROI, break-even in eight months, and roughly $1.4M saved per year, with savings starting in year one. That’s risk taken off the table and revenue that stays on the books. Because our sensors run on 4G/LTE, you don’t need plant Wi-Fi or an IT project to start, so a focused pilot on your highest-risk assets can begin quickly.
If you're building the case for your own plant, our guide to Predictive Maintenance for Plastics Manufacturing: Where to Start is a good next read. And if you'd like help putting real numbers to it, our team would be glad to build that business case with you.
Let's talk about what reliability could be worth for your business.
FAQ’s
How do you calculate the ROI of predictive maintenance?
Start with what unplanned downtime cost you last year: lost margin from downtime hours, plus scrap, overtime and expedited freight. Estimate the share of those failures that were preventable, using a conservative figure. Compare the avoided cost to the cost of the program.
Why is downtime a revenue issue and not just a maintenance issue?
A breakdown stops product from shipping, consumes margin through scrap and overtime and can damage customer relationships. Those effects show up in revenue, margin and retention, not just the maintenance budget.
What metrics should executives use to measure a reliability program?
Unplanned downtime hours, OEE, scrap rate, on-time delivery and total maintenance cost. Set a baseline before the program starts, then report progress quarterly.
How should a plastics company start without a large upfront investment?
Run a focused pilot on the handful of assets that put the most revenue at risk, such as extruder gearboxes, chillers and compressors. A pilot keeps the first approval small and produces real data for the next phase.
Why invest in predictive maintenance now?
Skilled maintenance labor is getting harder to find, customers expect reliable delivery and thin margins leave little room for scrap. Each year of waiting puts more of the plant's reliability on luck and a shrinking group of experts.