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MODULE

Measure Every Process. Document It Automatically.

Standard-work deviations flagged from the footage, each with the cycle it happened in and the evidence attached, so a CI team can see whether the method drifted once or drifts every shift.

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The IE Bottleneck

A traditional time study takes two to five days per workstation, and that number sets the ceiling on everything an industrial engineering team can do (IIE).

For a plant running fifty to two hundred workstations, the arithmetic is unforgiving: the studies you complete are a small fraction of the studies you planned, and the rest of the plant runs on cycle times carried forward from whenever anyone last checked. It is not a diligence problem.

Nobody has the days. The consequence shows up somewhere else entirely, in a line balance that assumes a cycle time nobody measured, an SOP written from memory because there was no time to build it from the work, and a planning system fed numbers that were true two years ago.

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Why This Matters

An undocumented process is not a paperwork gap, it is a process that cannot be improved, trained or planned against. You cannot balance a line on a cycle time you have not measured. You cannot train a new operator to a standard that only exists in the head of the person who has always done the job. You cannot prove a kaizen worked without a measured before. And when the planning system asks how long the work takes, somebody types in an estimate. Every one of those is downstream of the same constraint: the study takes days, so it does not happen. Change the cost of the study and the rest of it moves.

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How It Works

What Process Vision Does

Video-Based Time Studies

Submit a clip of a task, or export the footage the CCTV already covering that station recorded, and Manvis returns a value-added time study: value-added against non-value time, the eight wastes broken out, and every activity laid out on a process timeline. What took an industrial engineer two to five days per station takes hours. The data is statistically robust because it is not a sample: it rests on hundreds or thousands of analysed cycles rather than the ten to thirty a stopwatch study can realistically cover, which is what makes the variation visible rather than averaged away.

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Cycle Time Measurement Across Workstations

Cycle times measured the same way at every station, from footage, so they are comparable across a line and across a site. Bottlenecks come out of the data rather than out of a walk past at the wrong moment. Line balancing rests on every cycle in the footage instead of a sampled few, and when a cycle time changes the measurement can be re-run on the next recording rather than re-scheduled.

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Automated SOP Generation

From the same footage, Manvis writes the standard operating procedure in TWI format: major steps, key points, and the reason behind each one, with a visual reference per step taken from the recording. It translates into eleven languages for a multilingual floor. A standard built from the recorded work reflects real production conditions, where one written from memory tends to omit steps, underestimate times, and lose the details that only matter when they go wrong.

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SOP Deviation Checking

Once a standard exists, Process Vision checks adherence on every cycle in the footage. Where the work departs from the defined sequence or timing, the deviation is flagged with the cycle it occurred in and the evidence attached, rather than waiting for the next scheduled audit to notice. Deviations are classified by type, sequence changes, step omissions and timing variation, which is what lets a CI team tell a training gap from a standard that was never workable in the first place.

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Video-Based Time Studies

Submit a clip of a task, or export the footage the CCTV already covering that station recorded, and Manvis returns a value-added time study: value-added against non-value time, the eight wastes broken out, and every activity laid out on a process timeline. What took an industrial engineer two to five days per station takes hours. The data is statistically robust because it is not a sample: it rests on hundreds or thousands of analysed cycles rather than the ten to thirty a stopwatch study can realistically cover, which is what makes the variation visible rather than averaged away.

Decorative orange gradient ring graphic

Automated SOP Generation

From the same footage, Manvis writes the standard operating procedure in TWI format: major steps, key points, and the reason behind each one, with a visual reference per step taken from the recording. It translates into eleven languages for a multilingual floor. A standard built from the recorded work reflects real production conditions, where one written from memory tends to omit steps, underestimate times, and lose the details that only matter when they go wrong.

Decorative orange gradient ring graphic

SOP Deviation Checking

Once a standard exists, Process Vision checks adherence on every cycle in the footage. Where the work departs from the defined sequence or timing, the deviation is flagged with the cycle it occurred in and the evidence attached, rather than waiting for the next scheduled audit to notice. Deviations are classified by type, sequence changes, step omissions and timing variation, which is what lets a CI team tell a training gap from a standard that was never workable in the first place.

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Cycle Time Measurement Across Workstations

Cycle times measured the same way at every station, from footage, so they are comparable across a line and across a site. Bottlenecks come out of the data rather than out of a walk past at the wrong moment. Line balancing rests on every cycle in the footage instead of a sampled few, and when a cycle time changes the measurement can be re-run on the next recording rather than re-scheduled.

Decorative orange gradient ring graphic

Video-Based Time Studies

Submit a clip of a task, or export the footage the CCTV already covering that station recorded, and Manvis returns a value-added time study: value-added against non-value time, the eight wastes broken out, and every activity laid out on a process timeline. What took an industrial engineer two to five days per station takes hours. The data is statistically robust because it is not a sample: it rests on hundreds or thousands of analysed cycles rather than the ten to thirty a stopwatch study can realistically cover, which is what makes the variation visible rather than averaged away.

Decorative orange gradient ring graphic

SOP Deviation Checking

Once a standard exists, Process Vision checks adherence on every cycle in the footage. Where the work departs from the defined sequence or timing, the deviation is flagged with the cycle it occurred in and the evidence attached, rather than waiting for the next scheduled audit to notice. Deviations are classified by type, sequence changes, step omissions and timing variation, which is what lets a CI team tell a training gap from a standard that was never workable in the first place.

Decorative orange gradient ring graphic

Automated SOP Generation

From the same footage, Manvis writes the standard operating procedure in TWI format: major steps, key points, and the reason behind each one, with a visual reference per step taken from the recording. It translates into eleven languages for a multilingual floor. A standard built from the recorded work reflects real production conditions, where one written from memory tends to omit steps, underestimate times, and lose the details that only matter when they go wrong.

Decorative orange gradient ring graphic

Cycle Time Measurement Across Workstations

Cycle times measured the same way at every station, from footage, so they are comparable across a line and across a site. Bottlenecks come out of the data rather than out of a walk past at the wrong moment. Line balancing rests on every cycle in the footage instead of a sampled few, and when a cycle time changes the measurement can be re-run on the next recording rather than re-scheduled.

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Measurable Outcome

Measurable Outcome

Recover IE Capacity

The days an engineer spent with a stopwatch come back, and they come back as the part of the job only an engineer can do: value stream mapping, process redesign, and running the kaizen. The measurement stops being the bottleneck and becomes the input.

Document the Undocumented

Processes that have run for years on tribal knowledge get a written standard, because writing it no longer costs a week. Coverage moves from the stations somebody had time for to every station you have footage for, which is usually most of them.

Coverage Instead of Spot Checks

Deviations surface with the cycle they occurred in, so adherence becomes a measure of every shift you have footage for rather than an audit-day score, and coaching can point at the moment itself instead of a recollection of it.

Accurate Planning Inputs

Measured cycle times flow from Process Vision into Asireon, so the production plan rests on what the work actually takes rather than an estimate somebody typed in once. When the method changes, the next study updates the number the planner is using.

Expected Outcomes:

Studies that took two to five days per station complete in hours, so the number of stations covered stops being set by engineering capacity.

Standards exist in writing for processes that had none.

Adherence is measurable on any shift you have footage for rather than on audit day.

Planning works from measured cycle times. And the CI team spends its time on the improvement rather than on the measurement that has to happen before it.

Manvis AI 5S audit workspace with a scorecard, video evidence and deviations from the standard
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Put Process Vision on Your Own Footage

Book a consultation. We will walk through how Process Vision applies to your time study backlog, your SOP gaps, and your compliance requirements — and how video-based analysis changes what your IE team can accomplish. Bring your most complex workstation. We will show you what a study looks like in hours, not days.