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increased productivity

Cycle time optimization

Build flow that works for everyone

The Pain

In most factories, cycle time variation isn’t caused by “slow” or “fast” operators; it’s a reflection of the system they work within. Layout quirks, tool accessibility, workstation ergonomics, part availability, and unclear sequencing all create small but compounding delays.

Research shows that even small increases in process variability raise average cycle time and Work-In-Process (WIP), which directly lowers throughput and predictability. This effect is consistent across discrete manufacturing environments. When production is running near capacity, this variability has an outsized effect, cutting throughput and forcing costly schedule adjustments.

Why it Matters?

A few extra seconds of waiting or motion in multiple stations adds up to minutes per unit. Multiply that across hundreds or thousands of units per shift, and you’re looking at a significant drop in daily output. This variability also makes scheduling less reliable, complicating commitments to customers.

How Deltia solves it

Deltia captures cycle time for every workstation in real time, breaking down where time is spent:

  • Accumulated output over time to see if production is trending to plan

  • Output per station to spot performance gaps

  • Average cycle time and activity mix to distinguish value-adding vs. non-value-adding time

  • Average staffing per station to see where team size influences pace

By highlighting stations and sequences where cycle time consistently drifts, Deltia shows teams exactly where systemic changes, like improving tool layout, adjusting part delivery timing, or adopting the most efficient motion sequence, will have the biggest impact. The aim is to make the best way the easiest way, for everyone.

On the shopfloor

At a power electronics manufacturer, Deltia revealed more than 10 distinct workflows for the same product across operators. By identifying the most efficient sequence and aligning the team around it, the line increased productivity by 12% without adding headcount or extending shifts.

Discover more use cases

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Consistent output

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Faster employee training

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Faster reaction to issues

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Reduction of SOP deviations

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Bottleneck elimination

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Cycle time optimization

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