Odoo's core Manufacturing app records how long a work order stays "in progress" — but it can't tell you which operator did the work, how much of that time was genuinely productive versus idle, why the idle time happened, or what the direct labor actually cost. When two or three operators share one operation, or when a worker pauses for a material shortage or a machine jam, the native productivity log flattens everything into a single elapsed duration. Plant managers are then left costing direct labor from timesheets, spreadsheets, and guesswork.

Operator Time & Labor Productivity Tracking is a build-to-order Odoo module that ECOSIRE designs, builds, installs, and supports specifically for your shop floor. It extends mrp.workorder and the shift-floor tablet/kiosk view so every operator can start, pause, and stop their own labor against a work order — capturing productive time, idle time, and a mandatory reason for every stoppage. Those durations roll up through the ORM into the manufacturing order's real labor cost, and feed a set of productivity, efficiency, and idle-analysis dashboards that give plant managers a defensible, per-operator view of where their labor hours and labor dollars actually go.

Because this is a purpose-built module and not a generic app-store download, we model it around your operations: your work-center hierarchy, your shift patterns, your idle-reason taxonomy, your labor rates (flat, per-work-center, or per-employee-grade), and your reporting cadence. The result is delivered as clean, upgradeable Odoo code — new models with @api.depends computed fields, ir.model.access.csv and record rules for operator-vs-manager visibility, XML/OWL kiosk views, QWeb labor-cost reports, and JSON-RPC/XML-RPC endpoints if you need to feed the data to Power BI or an MES.

How it works under the hood. A dedicated operator.time.log model captures a start timestamp, stop timestamp, operator (hr.employee / res.users), work order, and an activity type (productive vs. idle) with an idle-reason Many2one. Computed fields (@api.depends on the timestamps and rate) derive productive hours, idle hours, and labor cost per log line; these aggregate up to the work order and then to mrp.production so the MO's total cost reflects true direct labor — not a nominal work-center average. Because multiple operator.time.log records can point at the same work order, genuine multi-operator operations (two people on one assembly, an operator plus a helper) are costed correctly instead of double-counting or under-counting a single "in progress" timer.

Operators interact through a stripped-down OWL kiosk screen — badge or select yourself, tap Start, tap Pause and pick a reason (material wait, machine down, quality hold, break, changeover, meeting), tap Resume, tap Done. Managers get server-side reporting: operator efficiency (productive vs. paid hours), utilization by work center and shift, a Pareto of idle reasons, and labor cost per MO / per product / per operator. Automated actions can flag a work order whose idle ratio crosses a threshold, or nudge a supervisor when an operator forgets to clock out.

Every deployment targets Odoo 17, 18, and 19 (Community or Enterprise — we confirm which edition your Manufacturing app runs on and build against it), ships with an install/config guide and operator training, and comes with a support-and-fixes window after go-live. You buy the outcome — a working, documented, supported labor-productivity capability inside your own Odoo — not a zip file you have to integrate yourself.