Financial impact
Operational impact
The math
26 presses × 4,000 hrs × 5% recovered × 42% filled
2,184 hrs × $55/hr
Capex
$75,000
Payback
7 months
Difficulty
2 / 5
Time to implement
~13 weeks
Also uses active presses 26, value of a freed press hour $55/hr. Edit on the dashboard.
The floor runs blind on uptime. Production counts live on a clipboard and a whiteboard, presses sit idle between jobs with the light stack showing green, and nobody can state last week's uptime without digging. A press that goes down on nights can sit for an hour before anyone notices. In shops like this, the presses actually run about 71% of their scheduled time against a top quartile near 97%, though that top quartile is mostly long-run, high-volume molders and a high-mix shop like this realistically tops out lower. On paper that leaves roughly a quarter of the day as lost capacity that nobody can see, which means nobody fixes it.
Deep dive
Expand for detail
Load-bearing, card breaks if wrong
There is demand, insourcing, or a shift to consolidate that can absorb the freed hours.
A recovered press hour becomes profit only when it is filled with sold work, used to bring outsourced parts back in-house, or used to run the same output in fewer scheduled hours and cut labor. If none of those is real, the capacity stays on the dashboard and never reaches the P&L. The whole $120K rests on this, and it is the most fragile assumption on the card. What it looks like on the floor if this is wrong: uptime climbs quarter over quarter while revenue and EBITDA sit flat. The check is to have the owner or sales lead name, in writing, where the first 2,000 hours go before the sensors are bought.
The owner sustains the daily cadence past month three.
The value is not in the hardware; it is in the ten-minute daily huddle where a named person owns the top two losses and closes them. These programs die quietly when the novelty fades and the huddle slips. What it looks like on the floor if this is wrong: the dashboards are still on the wall but nobody has looked at last week's losses, and the "Other" bucket has swallowed the reason codes.
Supportive, card weakens but survives
Operators will tag downtime honestly with a fast dropdown.
The analytics are only as good as the reason codes. If tagging a stop takes too long or the list is confusing, operators default to "Other" and the data goes dark. What it looks like on the floor if this is wrong: more than 30% of downtime is tagged "Other," so you can see that a press is down but not why. The fix is a short dropdown where a tap takes under ten seconds, plus a little coaching.
The clip-on sensors read the old hydraulic presses correctly.
Current sensors clamp onto the power feed and infer run, idle, and down from the draw, which works on decades-old Van Dorns and new all-electrics alike, but the states still have to be verified against reality on the oldest machines. What it looks like on the floor if this is wrong: the dashboard shows a press running while it is actually idling with the pump loaded, so the numbers lose the floor's trust. A short calibration pass on the pilot presses settles it.
Risk
Every lever here creates press hours; none of them adds cash on its own. If there is no plan to sell, insource, or consolidate, the freed hours stay theoretical and the $120K never reaches the P&L.
Early Warning
Uptime climbs quarter over quarter while revenue and EBITDA stay flat.
Mitigation
Tie the rollout to a written sales-and-absorption plan owned by the owner or sales lead, and pivot to cost capture if the hours are not selling.
Stake
Most of the $120K, which is why the card is marked conditional.
Risk
The sensors go on, the dashboards light up, and then the daily huddle quietly stops. Visibility without a decision loop changes nothing on the floor.
Early Warning
Dashboards are open but no one can name last week's top loss, and the "Other" reason code dominates.
Mitigation
Owner-led weekly review with a named owner on the top two losses; treat the huddle as non-negotiable.
Stake
Essentially the entire $120K.
Risk
If operators cannot tag a stop quickly, they tag it "Other," and you can see that a press is down but never why, so the losses cannot be attacked.
Early Warning
More than 30% of downtime is tagged "Other."
Mitigation
A short ten-second dropdown and operator coaching, reviewed until the "Other" share drops below about 15%.
Stake
Roughly half the analytical value.
Risk
The program works for a quarter on novelty, then the huddle slips, targets go unowned, and uptime drifts back toward where it started.
Early Warning
Huddle attendance drops and the top-loss owners stop closing actions.
Mitigation
Bake the huddle and a weekly owner review into the standard routine, and hold a named champion accountable for it.
Stake
The gains erode back toward the starting uptime.
A press dialed in by the operator's hand and experience, not by measured data, and tracked on a clipboard hides its own downtime. The light stack is green, the operator is present, and yet the machine is idling between jobs, waiting on a mold, or stopped for a fault nobody logged. A clip-on current sensor clamps onto the power feed and reads what the press actually draws, so run, idle, and down become facts instead of guesses. Across shops like this, the presses run about 71% of scheduled time against a top quartile near 97%, though that top quartile is mostly long-run, high-volume molders and a high-mix shop with frequent changeovers realistically tops out lower. Even the gap to a realistic ceiling is capacity you already own, recoverable with no new press. The sensor is the live readout that finally makes it visible.
A recovered hour is not money until one of these happens:
The paths above split cleanly. The cost-savings paths (overtime, shift consolidation, insourcing) land fast and with high certainty. The new-sales path lands only as fast as the pipeline fills. There is no clean published figure for how much recovered capacity converts to profit in year one at a high-mix custom molder, so the honest planning number is that roughly 40 to 60% of the theoretical gain becomes real EBITDA the first year, with cost savings first and new sales trailing. That is why the value here is discounted to about 42% filled and flagged conditional, while the maintenance and cycle cards, which cut real cost, are firmer.
The hardware is the easy part. The value is the daily ten-minute huddle where a named person owns the top two losses and closes them, week after week. Pair the operational rollout with one management action above all: an explicit, written plan for who sells or absorbs the recovered hours. Without that plan the capacity stays theoretical, and the smart move if it stays theoretical for two quarters is to stop buying hardware and turn the same data toward cutting overtime and consolidating shifts instead.
What we did not have in the corpus and would request from the client on day one. The aggregated gaps across all 15 cards become the engagement-letter ask sheet.
Owner
Plant manager
To baseline what the presses really run today versus scheduled, so the five-point recovery is measured against the plant's own numbers rather than an industry median.
Owner
Production
To pin down the starting point honestly. Runtime, utilization, and full OEE use different denominators, and picking one and holding it steady is what makes the trend trustworthy.
Owner
Owner / sales lead
This is the commercial gate. It decides how much of the recovered capacity can actually be filled in year one, which is the single biggest swing in the $120K.
Owner
HR / plant manager
To size the cost-capture Plan B: if sales cannot fill the hours, how much overtime and second-shift labor the freed uptime lets you take out instead.