Time & Motion Analysis for Manufacturing
A production line only improves as fast as it can be measured. VidForgeX TMA turns video of any workstation into the measurements industrial engineering runs on — cycle time distributions, value-added versus non-value-added time, idle events with causes visible on tape, and standard work verification — without stationing an engineer at the line with a stopwatch.
What a video study measures on a production line
Manufacturing already speaks the language this analysis produces. The output of a VidForgeX TMA study maps directly onto the measurements a lean or IE program uses:
| Measurement | What the analysis produces | What it feeds |
|---|---|---|
| Cycle time | Per-cycle measurements with mean, spread, and outliers per station | Line balancing against takt time |
| VA / NVA split | Value-added, necessary-but-non-value-added, and waste time as percentages and minutes | Kaizen prioritization |
| Idle events | Timestamped waiting periods — starved, blocked, or away — visible on the recording | Root-cause investigation with the evidence attached |
| Walking / material handling | Travel and handling time separated from station work | Layout and presentation-of-parts decisions |
| Sequence deviations | Departures from a defined standard work sequence, flagged with timestamps | Standard work verification and training |
Line balancing with real distributions, not single readings
A classic stopwatch study yields a handful of cycles per station — enough for an average, rarely enough for a distribution. Balancing a line on averages hides the problem stations: one that averages 52 seconds against a 55-second takt looks fine, but if every fifth cycle runs 70 seconds, it starves everything downstream. Because video analysis measures every cycle in the footage, the balance chart can be built on the spread, not the midpoint — and the outlier cycles come with their footage timestamped, so the reason a cycle ran long is reviewable rather than guessed.
Changeover analysis
Changeovers are a natural fit for video study because they are long, infrequent, and involve several people — exactly the conditions under which live observation is least reliable. Record the changeover, and the analysis separates internal from external activities, measures each element, and gives an SMED exercise its baseline in one pass. Repeat recordings after each improvement round measure whether the change held.
Where the evidence matters as much as the number
A stopwatch study tells you a station idled for six minutes. The recording shows the operator waiting at an empty parts rack — a materials problem, not an operator problem. Every measurement in a VidForgeX TMA report is anchored to timestamps in the source video, so a disputed number is settled by watching the thirty seconds in question rather than re-running the study. Reports export as PDF or Excel, and the underlying analysis can be queried in plain language — "which cycles exceeded takt and what was happening" — through AI chat.