{"id":2413,"date":"2026-07-08T09:19:32","date_gmt":"2026-07-08T09:19:32","guid":{"rendered":"https:\/\/www.motus-tech.com\/2026\/07\/08\/the-fastest-machine-is-not-always-the-most-productive-machine\/"},"modified":"2026-07-08T09:19:32","modified_gmt":"2026-07-08T09:19:32","slug":"the-fastest-machine-is-not-always-the-most-productive-machine","status":"publish","type":"post","link":"https:\/\/www.ab-progeo.com\/en\/2026\/07\/08\/the-fastest-machine-is-not-always-the-most-productive-machine\/","title":{"rendered":"The fastest machine is not always the most productive machine"},"content":{"rendered":"

“When a project does not reach the expected cycle time, the first reaction is often to seek more speed. In practice, however, the solution is almost always something else.”<\/em><\/p>\n

The race for performance<\/strong><\/p>\n

In the world of automation, it is natural to associate high performance with ever-increasing speeds.<\/p>\n

If a machine produces too slowly, instinct leads to increasing acceleration, speed, and axis dynamics. On paper, the reasoning seems correct: less time spent on each movement means more parts produced throughout the day. <\/p>\n

The reality, however, is often more complex.<\/p>\n

Those who design automated systems know well that cycle time is the result of a balance between dozens of factors. Focusing exclusively on movement risks shifting the problem rather than solving it. <\/p>\n

The bottleneck is rarely where we imagine<\/strong><\/p>\n

Every machine is composed of a sequence of operations.<\/p>\n

Handling, processing, waiting, checks, tool changes, signal acquisition, communication between devices.<\/p>\n

If just one of these phases takes longer than the others, the entire system will be forced to wait for it.<\/p>\n

Increasing the speed of an axis by 20% can have almost zero impact if the real limit is represented by a vision system, a component gripping phase, or simply the response times of a piece of equipment.<\/p>\n

Before intervening, it is therefore fundamental to understand where the bottleneck actually lies.<\/p>\n

More speed also means more energy<\/strong><\/p>\n

Every increase in performance brings consequences that are not always considered.<\/p>\n

Higher accelerations generate greater forces, increase stress on the structure, and require more accurate vibration control.<\/p>\n

The movement profile also becomes more delicate.<\/p>\n

Dynamics that are too aggressive can compromise process stability, especially when delicate components are handled or when precision must remain constant over time.<\/p>\n

The goal is not to move as quickly as possible, but to obtain a repeatable, controlled movement that is consistent with the production process.<\/p>\n

Productivity comes from balance<\/strong><\/p>\n

The most efficient machines are not necessarily those with the fastest axes.<\/p>\n

They are the ones in which every element works harmoniously.<\/p>\n

Handling that is perfectly synchronized with the rest of the cycle allows for the elimination of downtime, the reduction of waiting times, and the best use of every production phase.<\/p>\n

In many cases, it is precisely this overall optimization that generates the most significant improvements.<\/p>\n

Even a few tenths of a second make a difference<\/strong><\/p>\n

Imagine a machine that completes a cycle in five seconds.<\/p>\n

Reducing the cycle time by just two-tenths of a second may seem like a marginal result.<\/p>\n

Over thousands of daily cycles, however, that small difference can turn into hundreds of extra parts produced every week.<\/p>\n

The point is that these improvements rarely derive from a single component.<\/p>\n

They arise from the analysis of the entire process.<\/p>\n

The design matters more than the component<\/strong><\/p>\n

When a machine does not reach the expected performance, it is natural to look for the cause in the most obvious component.<\/p>\n

In most cases, however, the behavior of the system depends on the interaction between all its parts.<\/p>\n

Structural rigidity, mass distribution, kinematics, movement synchronization, control software, and machine logic all contribute to the same result.<\/p>\n

For this reason, talking about performance means talking about design, even before components.<\/p>\n

The goal is not to go faster<\/strong><\/p>\n

Every machine is created to perform a specific task.<\/p>\n

The correct question is not what the maximum achievable speed is, but what the optimal speed is to guarantee productivity, reliability, and process quality.<\/p>\n

In some cases, increasing the dynamics represents the best solution.<\/p>\n

In others, a more balanced design allows for superior results while maintaining apparently less extreme performance.<\/p>\n

Conclusions<\/strong><\/p>\n

In industrial automation, productivity does not depend on a single number reported on a technical data sheet.<\/p>\n

It is the result of the balance between movement, control, mechanics, and process.<\/p>\n

For this reason, when a machine seems too slow, the first question to ask should not be “How can I make it go faster?”<\/em>, but rather “Where is it actually losing time?”<\/em><\/p>\n

Very often, it is precisely from that answer that the most important improvement is born.<\/p>\n","protected":false},"excerpt":{"rendered":"

“When a project does not reach the expected cycle time, the first reaction is often to seek more speed. In practice, however, the solution is almost always something else.” The race for performance In the world of automation, it is natural to associate high performance with ever-increasing speeds. 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