In a gummy supplement plant, the depositor doses the cooked gel mass into molds, and it sets the pace for the line it feeds. A maintenance technician and a process engineer look at the same machine through different lenses, and their two views together decide how much uptime the line actually gets.
The maintenance technician's view: component-level health
For the technician, the depositor is a machine with a personality. They know its sounds, its vibrations, and the small inconsistencies that never show up on a dashboard. Their focus is component-level health: the wear pattern on a dosing piston, the play in a bearing that hasn't tripped a sensor yet, or the way a change in air pressure shifts deposit weight cavity by cavity. They live in the world of what could fail next rather than what is failing now. Tacit knowledge here revolves around reading the environment: how humidity changes the way the gummies release from the molds, how a certain motor hum correlates with an impending seal failure, or how one mold set always needs a shim after a long production run.
The process engineer's view: setpoints and throughput
A process engineer sees the depositor as one node in a larger system, measured against key performance indicators: fill weight accuracy, reject rates, overall equipment effectiveness (OEE), and changeover speed. They tune parameters from the control room, reading trends and ladder logic. Their world is setpoints, tolerances, and statistical process control. When a deviation occurs, the engineer asks how to adjust the recipe or the sequence to get back into spec. They rely on precision data to drive efficiency and consistency, and they see the machine mainly through output quality and throughput.
Tacit knowledge that bridges the gap
The uptime gains come when the two perspectives merge. The technician's sensory awareness feeds the engineer's analytical models and prevents unplanned downtime that schedules can't predict. Tacit knowledge moves reliability in four specific places:
- Vibration signatures. A technician can feel a bearing degrade before an accelerometer alarms. By turning that feeling into a trendable data point with a handheld vibration meter, the engineer can adjust preventive maintenance schedules and catch the failure before it halts production.
- Material interaction. Gummy formulations differ sharply: sticky extracts, pectin batches that set fast, moisture-sensitive probiotics. The technician learns how each one wears the depositor's tooling. They might know that a slightly slower deposit stroke keeps fill weight consistent even though the spec sheet allows a faster setting, avoiding a recurring defect the engineer could never trace through the data alone.
- Changeover artifacts. During format changes, the small adjustments (a half-turn of a knob, a custom guide) rarely get written down. The technician's muscle memory holds these tricks. Capturing them in digital checklists or short reference videos prevents the infant-mortality failures that follow every changeover.
- Cleaning cycle. A technician knows that some gummy residues need a longer dry time after washdown, because leftover moisture thins the first deposits and shifts fill weight. Sharing that with the process team can keep an entire morning's run from being rejected for fill weight variation, a failure neither a sensor nor a maintenance log would flag.
Tacit knowledge is also a single point of failure
Knowledge that lives only in one technician's head disappears when that person retires or leaves, and the timeline is not abstract. Nick Haase, co-founder of MaintainX, told ASSEMBLY magazine that 40 to 50 percent of the maintenance reliability workforce will reach retirement age within five years. On a gummy line, that means the person who knows which mold set sticks and which pump runs warm may be closer to the door than the org chart suggests.
The fix is to capture the knowledge before it walks out. Pair a junior technician with the senior one during changeovers, washdowns, and rebuilds, and have the senior talk through each adjustment as it happens. Record the shims, the dry times, and the air pressure notes in the work order or CMMS, where the next person can find them. The same gemba conversations that feed the engineer's models are also the cheapest insurance against losing that knowledge on a retirement date.
At KorNutra, we've found that creating moments for these two groups to walk the floor together, in what we call gemba conversations, lets the technician's tacit knowledge flow into the engineer's optimization models. The depositor's true reliability story is written in both the data streams and the hands-on intuition that comes from daily care. Optimizing uptime means honoring the science of the process and the maintenance craft together.