Matt Barber
A useful place to start is one question: what would a 1% improvement in OEE mean for your business?
Work it out for your bottleneck. More output from equipment you already own, and perhaps a capital project you no longer need. For most manufacturers it's a significant number. The 1% OEE calculator does the sums for you.
Well-implemented programmes often go well beyond 1%. In Deloitte's 2025 Smart Manufacturing Survey, large manufacturers reported average improvements of 10% to 20% in production output and 10% to 15% in unlocked capacity from smart manufacturing initiatives (Deloitte, 2025).
Where the savings come from
| Area | How MES/MOM helps | How to value it |
|---|---|---|
| Downtime | Automatic stop detection with accurate reasons | Extra output on the bottleneck, less overtime |
| Scrap and rework | In-process checks and SPC | Material and machine time saved |
| Admin time | Data captured once, reports built automatically | Hours returned to value-adding work |
| Inventory and WIP | Stock and WIP you can trust in real time | Working capital released from buffers |
| Recalls | Full traceability, so only affected lots are quarantined | Smaller recalls, faster answers |
| ERP data | Actual consumption and scrap posted to ERP | More accurate costing and planning |
| Energy | Energy linked to machines and orders | Idle running and waste removed |
Less downtime, more output. Downtime is usually the biggest loss in OEE. Automatic stop detection and accurate reasons show exactly where capacity goes. Short stops are often the biggest surprise, because they rarely make it onto paper. More in What is OEE?
Less scrap and rework. Real-time quality checks and SPC catch drift before it becomes defects, and error-proofing stops the wrong material being used. Every scrapped part also wastes the machine time and energy that went into it. See SPC on the shopfloor.
Less time on admin. Hours go on paperwork and chasing information. Digital capture gives that time back.
Lower inventory and WIP. When real-time stock data can be trusted, the buffers held to cover for not trusting it can come down. That frees working capital.
Faster, narrower recalls. With full traceability, you can identify exactly which products are affected and quarantine only those, instead of everything made in a week. See Your traceability probably isn't as good as you think.
Better ERP data. MES/MOM posts actual consumption and scrap back to ERP, rather than backflushed estimates, which improves costing and reduces surprises at month end. More in How MES takes complexity out of your ERP.
Lower energy cost. Linking energy to machines and orders exposes idle running and waste. See MES functionality: energy.
Benefits that are harder to put a number on
- Happier customers, from better quality and more reliable delivery
- Faster onboarding, because the system guides new starters
- Fewer arguments, because everyone works from the same data
- Less firefighting, so people can work on improvement instead
- A foundation for AI, which depends on the contextualised data MES/MOM creates
Include these in a business case, but lead with the hard numbers. Finance teams fund what they can measure.
The benefits grow over time
Think about your first smartphone. You probably bought it to make calls. Today, making calls is one of the least important things you use it for.
MES/MOM often follows a similar pattern. Manufacturers usually invest for one or two reasons, such as efficiency or compliance. Those who adopt it fully tend to find more value each year, as they use more of the data and extend into new areas. And much like a mobile phone, once you're used to everything MES/MOM does, it's hard to imagine going back to not having one.
Turn it into a business case
- Quantify current costs: downtime, scrap, overtime, late deliveries and inventory.
- Estimate realistic improvements for each, based on your own data.
- Count the costs honestly, including your own people's time and ongoing support.
- Make it one decision for the whole programme, and phase the delivery.
How to build an MES business case leadership will sign walks through it in detail. What the research says about smart factory ROI pulls together the wider evidence.
My view
I've seen companies pay for their MES in months rather than years, on tangible benefits alone. But that only happens when they've measured their own losses first. The 1% question is where I'd start every time, because it turns a technology conversation into a business one.
So, what would a 1% improvement in OEE be worth to you?
