Three questions to ask before automating precision assembly
Precision automation isn’t like buying standard equipment off a catalog, though. It requires alignment between your product, your business, and the technology. Before committing to automation, these three questions deserve honest answers.
Is your product design ready for co-optimization?
The question isn’t whether your design is frozen, it’s whether you’re open to refine and optimize it for manufacturability. Some of the most successful automation projects we’ve undertaken involved products where the core function was proven, but the engineering team recognized that certain product features could be modified to enable more reliable, efficient automated assembly.
This is fundamentally different from a product still in early development where core functionality is being validated. If you’re changing product design because clinical testing revealed performance issues, or relocating features because user studies suggested ergonomic improvements, those are functional changes driven by product requirements. Automation should wait for that process to stabilize.
But if your design has proven its function and you’re willing to ask “could we achieve the same performance with a snap fit instead of this screw?” or “could we add a chamfer here to improve part alignment?”. That’s the ideal starting point. The best outcomes happen when product design and automation engineering happen in parallel, with both teams collaborating to find solutions that preserve device performance while enabling robust manufacturing. For tier 3 devices, this obviously means managing changes through your quality system and understanding the validation implications, but those conversations are worth having early rather than after automation is already constrained by unchangeable design decisions.
What’s your volume trajectory?
This question isn’t just about current production but it’s about where you’re headed and how long you’ll stay there. Automation investments typically need three to five years to pay back, depending on complexity and market circumstances. If you’re producing 5,000 units monthly with no growth plans, manual assembly might remain the right choice. But if you’re at 5,000 today with projections reaching 50,000 within two years, the math changes entirely.
The sweet spot for automation often lies with products scaling from thousands to hundreds of thousands of units over a multi-year period. While volume growth and a multi-year product lifecycle help distribute capital costs across enough units to make economic sense, other factors are equally important when evaluating ROI. Consider the costs and availability of floorspace or cleanroom areas, the availability of qualified operators, sometimes across multiple shifts, and the speed or throughput of the machine relative to manual production.
Quality requirements play a crucial role as well: how reproducible is the machine compared with human operators, and can objective, automated measurements replace subjective assessments? Finally, understanding the trade-offs between CapEx (capital expenditure) and OpEx (operating expenditure) ensures that the investment aligns with both your financial strategy and your operational reality. It’s also worth considering what happens if projections don’t materialize: can the investment be absorbed if volumes plateau at half the forecast? Understanding your risk tolerance matters as much as your growth optimism.
Where are your tolerance bottlenecks?
Not every dimension on your print requires tight control, and not every operation needs automation. The strategic question is identifying which features drive your quality challenges and whether automation can meaningfully improve them. Sometimes the answer is obvious: a placement operation requiring ±0.02mm that humans can’t consistently achieve. Other times it’s subtler, like an assembly sequence where slight variations in the first step cascade into larger problems downstream.
“If your manual process already achieves adequate precision and yield on critical features, and your challenges lie elsewhere, perhaps in throughput or ergonomics rather than capability, then automation might solve the wrong problem.”
Before automating, it’s valuable to understand which specifications you’re barely meeting manually, which ones cause the most scrap, and which ones limit your ability to tighten overall tolerances. Automation should target these bottlenecks specifically. If your manual process already achieves adequate precision and yield on critical features, and your challenges lie elsewhere, perhaps in throughput or ergonomics rather than capability, then automation might solve the wrong problem. Focus your investment where precision and consistency matter most, and where current methods are reaching their limits.
These three questions create a framework for readiness. They help ensure that when you do automate, you’re doing it at the right time, for the right reasons, with realistic expectations about timelines and returns. The most successful automation projects we’ve seen share a common trait: the customer knew exactly why they needed automation and had done the groundwork to make sure their product, their business case, and their technical requirements were aligned.
Automation done well creates competitive advantages that compound over years. Automation done prematurely creates expensive lessons.
Do you need help with automation preparation? Bas is ready to take your project steps ahead.
|
 |
