When developing a new product, most of the attention naturally goes to the design, components, tooling, supplier, and quality plan. Production equipment selection, even though it influences what will actually make the product, often receives much less attention.
We’re going to explore why that can be a mistake.
A good product design can still create serious problems in mass production if the equipment cannot hold the required tolerances, achieve the necessary cycle time, or produce consistently at the expected volume. In that sense, production equipment is another design constraint and should be considered early as part of product development and industrialization, rather than left entirely to the factory once development is nearly complete.
Choosing Production Equipment: Start With the Process
Production capacity is a consideration when selecting manufacturing equipment, but planning only around the launch quantity can be risky. If a machine is already close to maximum capacity during the first production runs, a successful product can quickly create its own bottleneck as demand ramps up. There are also several other factors that determine a supplier’s real production capacity beyond just the number of machines on the factory floor. Therefore, you should give some thought to likely future volumes and how additional capacity could be added if sales increase.
Capacity alone is not enough, though. A machine also needs sufficient process capability. The important question is not simply whether it can make the part, but whether it can repeatedly hold the required tolerance and process window at the necessary cycle time. These requirements will typically feed into the product’s wider process control plan, alongside the controls and checks needed during production.
This is why the factory’s engineers need to be involved in production equipment selection. If the decision is driven mainly by purchase price, there is a risk that the factory buys something that is technically capable of operating but not capable enough to produce the required result consistently.
Flexible Equipment or Dedicated Automation?
Factories often prefer flexible equipment that can be used across different projects. A programmable dispensing machine, for example, may be used for several products by changing the program and fixtures, which allows the investment to be shared across different customers.
But some manufacturing processes need dedicated equipment. High volumes, unusual materials, tight tolerances, complex assembly steps, or demanding inspection requirements can make a general-purpose machine unsuitable.
The right decision depends on what the process actually requires. More automation is not automatically better, and there are genuine risks associated with excessive automation when expensive machinery adds complexity without solving a real manufacturing problem. Trying to force a specialized process onto equipment that was never designed for it can create quality and capacity problems, too.
Where Production Equipment Selection Goes Wrong
One common mistake is specifying machinery only for the expected launch volume. A machine may look perfectly adequate when production begins, only to become the limiting factor when demand increases.
Changeover time is another issue that is often underestimated. Flexible machinery may still require new fixtures, calibration, alignment, trial runs, and verification before another product can be produced. If this time is ignored in the capacity calculation, the factory may believe it has considerably more available production time than it really does.
Factories can also go too far in either direction. Under-specifying a machine to reduce capital expenditure can leave the process incapable of meeting future requirements, while buying sophisticated equipment that the product does not need simply increases cost without necessarily improving the result.
Maintenance and support also need to be considered from the beginning. In one example discussed during the podcast, a pick-and-place robot being used in China suffered a failure about six months after installation. The replacement part had to come from Italy and carried a lead time of around six weeks.
A technically excellent machine is not much use if a relatively simple failure can stop production for weeks. Spare-parts availability, local technical support, and the factory’s ability to service the equipment should therefore form part of the original equipment specification. A good preventive maintenance plan is also preferable to waiting for important equipment to break down and then reacting.
Agilian Case Study 1: When a General-Purpose Dispensing Machine Wasn’t Good Enough
One project required a precise amount of resin to be dispensed into a small cavity.
The first approach was manual application with a syringe. It worked in principle, but the operation was slow and inconsistent. The team experienced bubbles, curing problems, excessive softness, overflow, and significant variation between parts.
They then tried an automated dispensing machine already available in the factory. This seemed like the logical next step, but the resin was unusually viscous, and the machine could not dispense it consistently. Some cavities were underfilled, and others overfilled.
The team eventually worked with several specialist equipment suppliers, tested the actual application, and purchased a dedicated dispensing system suited to the material and process. That solved the problem.
The progression was therefore:
Manual process → general-purpose automation → dedicated equipment
The interesting point is that automation itself was not the solution. The first automated machine was still wrong for the process. Only when the equipment was properly matched to the resin and application did the process become reliable.
Agilian Case Study 2: When Manual Inspection Wasn’t Reliable Enough
Another project involved a sensitive transparent component that needed to remain free from visible imperfections throughout assembly.
The component had to be checked several times as additional parts were added. Performing those inspections manually would have required operators to examine large numbers of similar transparent parts repeatedly, making fatigue and missed defects a serious concern.
In this case, dedicated automation was planned early in development. The resulting system used pick-and-place robotics, a carousel assembly process, automated visual inspection, and automatic rejection of defective components.
A camera first checked whether a part was acceptable before further assembly. Additional components were then added, after which another inspection confirmed that the part had not been damaged and that the assembly was complete. Components that failed either inspection were automatically moved to a reject area.
Developing this equipment took roughly six to ten months, which is exactly why the need for it had to be identified early. If the team had waited until mass production to discover that manual inspection was not reliable enough, the equipment development itself could have delayed the launch substantially.
When Does Manufacturing Automation Make Sense?
Those two real examples we worked on illustrate a useful principle: automation works best when it solves a specific manufacturing problem.
That might be excessive manual variation, insufficient production capacity, an inspection task that people cannot perform reliably for long periods, or a process that requires tighter control than an operator can reasonably provide. In some situations, relatively simple mistake-proofing using jigs, fixtures, detection systems, or targeted automation can remove the source of operator errors without requiring a fully automated line.
But automating a poor process does not make it good. The dispensing case is a clear example: moving from a syringe to a machine still produced inconsistent results because the first machine could not properly control the material.
Before deciding that new machinery is the answer, it’s useful to understand the existing process capability and sources of variation. Statistical tools can help determine whether the process is stable, where variation is coming from, and whether the solution may involve adjusting fixtures, improving the process, or replacing the machine.
Automation also changes rather than eliminates dependency. A factory may become less dependent on operators, but more dependent on maintenance technicians, calibration, spare parts, software, and machine uptime. Those dependencies need to be understood before the investment is made.
Look at Total Cost of Ownership
Purchase price shouldn’t be the main number used to compare production equipment.
The total cost of ownership also includes fixtures, maintenance, spare parts, servicing, calibration, training, downtime, and the consequences of poor process performance.
A cheaper machine can easily become the more expensive option if it causes scrap, rework, production interruptions, or capacity problems. Likewise, investing more in dedicated equipment can be justified if it delivers a stable process and supports the required volume throughout the life of the product.
Four Practical Rules for Production Equipment Selection
For most new product programs, four principles are worth keeping in mind:
- Bring engineers into the decision. Equipment needs to be specified around process capability and production requirements, not only purchase price.
- Plan beyond the launch volume. Understand what happens if production increases and whether the equipment has enough capacity or a practical route to expansion.
- Consider maintenance and total cost of ownership. Spare parts, servicing, changeovers, downtime, and training can matter more over time than the initial machine price.
- Understand the process before automating it. Automation should remove variation or solve a real production constraint, not simply replace a manual operation because automation appears more advanced.
For companies manufacturing with a third-party supplier, a process management audit can also be helpful for assessing whether the factory’s production processes, equipment setup, maintenance practices, and technical controls are really suitable for the product.
The Practical Bottom Line
Production equipment selection is often treated as something the factory will work out once the product has been designed. For straightforward products and processes, that may be fine. For more demanding projects, it can be a costly assumption.
The equipment has to match the process, provide enough capacity, maintain the required process window, and remain serviceable as the program develops.
Sometimes manual production is perfectly adequate. Sometimes flexible automation gives the right balance of capability and cost. In other cases, dedicated machinery needs to be developed alongside the product itself.
The important thing is to make that decision deliberately. Don’t leave it until mass production is running, only to find that an equipment limitation starts causing delays or inconsistent output. At that point, the available solutions are usually more expensive and much harder to implement.
P.S.
We discuss this topic on the Sofeast Podcast, so click here to listen if you’d like to explore the topic further.
