Operator clock-in software
Operators start and stop setup, run and teardown on each operation, and the times feed the job record and the next estimate.
A staff operations app puts the job traveler, the operation clock-in and the inspection checkpoint in front of every operator on the shop floor. SIZ Group builds staff operations apps for machine shops, and every project begins with a free scoping call.
Buyers who source machined parts compare shops on three things: whether the quote is realistic, whether the parts arrive on the promised date and whether the paperwork is complete. A shop that can show its own operation times and on-time history has a stronger answer to all three. That evidence only exists if the floor records what really happened, not what the planner remembers at the end of the week.
The staff app is the source of that evidence. When an operator clocks into a setup, a run and a deburr step on the same job, those times become the basis for the next estimate. When an inspector records a checkpoint before the parts leave the cell, the shop can prove it caught a problem early rather than hiding it.
The first release should match what operators already do at the machine. Each operator needs the job traveler on a tablet mounted near the Okuma or the Doosan, the operation list in order and a single button to clock into setup, running and teardown. The planner needs to see which operation is active on every machine without walking the floor.
Inspection comes next, because it is where most rework is caught. A checkpoint attaches to a specific operation, records the measured value and marks the part pass or hold. Later phases can add tool life tracking, machine maintenance logs and shift-level labor reports, but those depend on clean punches and checkpoints from day one.
We need the routing for typical part families, the list of machines and cells with their names as the operators call them, and the inspection plan for the parts you run most often. A sample of a filled job traveler, with its handwritten notes, helps us design the screens around what people actually write.
The app also needs a plan for the hardware. Shop tablets should be rugged and wiped down, mounted where coolant mist does not reach them, and charged between shifts. Operators should have one login that works on the shared device, and the access rules should say who can edit a punch after the fact.
Operators start and stop setup, run and teardown on each operation, and the times feed the job record and the next estimate.
The routing, drawing revision and notes appear on a tablet at the machine, with the current operation highlighted.
Inspectors record measured values against the operation they belong to, and a drifting reading alerts the planner before the batch is done.
A hold or scrap event opens a record with the reason from a short list, the parts affected and the person who owns the fix.
The most frequent mistake is asking operators to type long notes on a small screen during a run. A dropdown of common reasons, such as tool change, burr found or material short, gets better data than a paragraph nobody reads. We would test each screen at the machine before it is approved.
The second mistake is treating the app as a time clock only. Punches are useful, but the value comes from linking each punch to a job, an operation and a checkpoint. A shop that uses the app just to track hours will miss the quote evidence and the inspection trail it bought the app to create.
Rollout works best one cell at a time. We would start with a single machine group that runs a steady part family, so the operators and the planner learn the screens on work they already know. Once that cell's punches and checkpoints match the paper record, the next cell follows.
The office has its own job. The planner, the estimator and the quality lead need to read the same records the operators write, so the dashboards must update as punches arrive. A short walk-round each morning, with the tablets on the stands, catches most problems before they become complaints.
The business numbers to watch are the ones the app was built to move. Track on-time shipments by job, the share of jobs that pass the first inspection and the gap between quoted and actual run time for each part family. Those measures show whether the floor data is helping the shop win and keep work.
We would agree a baseline from the last few months of paper and spreadsheet records before launch. A comparison against that baseline is more honest than any industry average, and it tells the shop whether the rollout is paying back in the places that matter.
They will if the screens are big, the buttons are clear and the device is mounted out of the coolant mist. We test each screen at the machine with the operators who will use it, and we keep the number of taps for a clock-in to a minimum.
You keep the cycle times you trust and let the app record them more consistently. We compare the first few weeks of punches with your current records, so any difference is explained before the new numbers are used for quotes.
They can, through an export or a connection to the payroll package you already use. We agree the rules for overtime, breaks and edits in the scoping call, so the timesheets match what the shop pays for.
The planner sees the late operation on the board as soon as the expected finish passes, and the shift lead gets a message. The planner can move the job, add a note for the customer and record the reason, so the delay is visible and explained.
Tell us how your machines, shifts and inspections run today, and we will confirm scope and price in writing before any build begins.