Material loss usually hides in plain sight. Odoo core lets you scrap a quantity from a manufacturing order or work center, but it does not force a reason code, it does not distinguish a true scrap from a reworkable defect, and it gives your production and quality teams no consolidated view of where wastage actually comes from. The Scrap & Rework Tracking Report closes that gap. It is a net-new Odoo module that ECOSIRE designs, builds, installs and supports for you on Odoo 17, 18 or 19 — not an instant apps.odoo.com download. Because we build it to order, we tailor your reason taxonomy, your cost rules, your report layouts and your access model to how your shop floor really runs.

At the data layer we extend Odoo's manufacturing stack cleanly. We add a dedicated scrap-event model (a new models.Model) linked to the standard stock.scrap, mrp.production and mrp.workcenter records, plus a many2one to a configurable scrap/rework reason model so every loss is reason-coded at the moment it happens — at any step of the routing, not just at MO close. Reworkable defects are tracked as their own rework orders with their own labour and material cost capture, so you can finally answer "how much did fixing it actually cost us?" separately from "how much did we throw away?" Monetary and quantity fields are computed with @api.depends so scrap value, rework value and scrap rate recalculate automatically as quantities, product costs and BoM data change — no stale numbers, no manual spreadsheets.

On top of that data we deliver the analytics your team needs to act. Scrap rate is available sliced by product, by manufacturing order, by work center and by reason. A Pareto view ranks your top loss drivers so you attack the 20% of causes behind 80% of the loss, and trend charts show whether corrective actions are working month over month. Everything is filterable by date range and product, and exportable as a polished QWeb PDF report or an Excel/CSV file for finance, audits or supplier claims. Security is enforced the Odoo way — ir.model.access.csv rules plus record rules so operators can log scrap while only quality managers see cost figures and company-wide reports. Optional automated actions can flag any MO whose scrap rate crosses a threshold, and the whole dataset is reachable over XML-RPC/JSON-RPC for BI tools or your data warehouse.

ECOSIRE handles the full lifecycle: discovery of your reason taxonomy and cost logic, development against your Odoo version and edition (Community or Enterprise), installation on your server or Odoo.sh, UAT with your team, hand-over of documented source, and a post-go-live support window. Typical delivery is one working week from confirmed scope and access.