Reason-coded scrap and rework tracking with Pareto analysis and PDF/Excel wastage reports for Odoo 17, 18 and 19 manufacturing. Built to order by ECOSIRE for Odoo 17, 18, 19 — indicative price from $99.00 USD; request a quote for a scoped proposal.
ایپ مینی فیسٹ
آپ کے ورک فلو کے مطابق تیار کردہ
Reason-coded scrap and rework tracking with Pareto analysis and PDF/Excel wastage reports for Odoo 17, 18 and 19 manufacturing.
خود سیٹ اپ کی ضرورت نہیں — ایک کام کرنے والی ایپ جو ECOSIRE بناتا، انسٹال اور سپورٹ کرتا ہے۔
ایک بار کی تعمیر کی قیمت سے آغاز کریں۔ آغاز پر ہم آپ کے ساتھ مل کر دائرہ کار طے کرتے ہیں۔
ECOSIRE اسے آپ کے Odoo پر بناتا، ترتیب دیتا اور انسٹال کرتا ہے۔
آپ تقریباً 2–4 ہفتوں میں لائیو ہو جاتے ہیں، لانچ کے بعد معاونت کی مدت کے ساتھ۔
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 2–4 weeks depending on scope.
Needs to know where material is being lost on the floor and whether corrective actions are working. Uses the Pareto and trend views to prioritise fixes by work center and product, and the scrap-rate KPIs to run daily and weekly stand-ups.
Owns the reason taxonomy and drives root-cause analysis. Relies on reason-coded scrap, rework cost capture and exportable reports to run 8D / Kaizen reviews and prove that CAPA actions reduced loss over time.
Cares about the financial value of scrap and rework for period close, cost-of-poor-quality reporting and supplier chargebacks. Uses the date/product-filtered PDF and Excel exports and restricted cost visibility enforced by record rules.
| Criterion | ECOSIRE | Custom Build | Competitor | Odoo Native |
|---|---|---|---|---|
| Mandatory reason code on every scrap event | Enforced on a dedicated model with a configurable taxonomy | Possible but must be designed and built from scratch | Varies — often a free-text note, rarely mandatory | |
| Rework orders and rework cost capture separate from scrap | First-class rework records with labour + material cost | Achievable but significant bespoke effort | Partial support | |
| Pareto (80/20) analysis of top loss drivers | Built-in Pareto view ranking causes | Requires custom pivot/graph development | Partial support | |
| Scrap rate by product, MO, work center and reason | All four dimensions from one analysis view | Only what you scope and build | Partial support | |
| Branded PDF + Excel/CSV wastage reports with date/product filters | QWeb PDF plus Excel/CSV export included | Must build QWeb and export logic yourself | Partial support | |
| Security via ir.model.access.csv + record rules (operator vs manager) | Role-based access configured to your org | You define and test all rules | Partial support | |
| Tailored to your version/edition, installed and supported | Built for Odoo 17/18/19, installed with UAT + support window | Depends entirely on your in-house/agency capacity | Not included | |
| Upgrade-safe extension of core MRP objects | Extends stock.scrap/mrp.production without forking core | Risk depends on developer discipline | Partial support |
No. This is a build-to-order module that ECOSIRE designs, builds, installs and supports specifically for your Odoo instance. There is no instant download. After purchase we scope your reason taxonomy and cost rules, develop against your exact version and edition, install it, run UAT with your team and hand over documented source.
Typical delivery is 2–4 weeks from kickoff, depending on scope — the size of your reason taxonomy, your cost-capture rules, custom report layouts and any BI/XML-RPC integration. After a short discovery call we confirm a fixed timeline and milestones, then deliver in stages ending with installation and UAT sign-off on your environment.
Every build includes a post-go-live support window for bug fixes and questions. Because you receive the full module source, you are never locked in. We also offer an optional ongoing maintenance plan that covers enhancements and version upgrades — for example carrying the module forward when you move from Odoo 17 or 18 to 19.
We build for Odoo 17, 18 and 19 on both Community and Enterprise. The module extends standard manufacturing objects (stock.scrap, mrp.production, mrp.workcenter, mrp.bom) rather than forking core, so it stays upgrade-safe. If you are on Enterprise we can also align the reports with your existing dashboards.
Scrap value, rework value and scrap rate are stored as computed fields using @api.depends on quantity, the product's standard or average cost and BoM data, so they recalculate automatically whenever quantities or costs change. Rework cost additionally captures the extra labour time and consumed materials, giving you a true cost of rework separate from discarded scrap.
Yes. Access is enforced with ir.model.access.csv rights plus record rules. A typical setup lets shop-floor operators create reason-coded scrap and rework records while cost values, plant-wide analytics and cross-company reports are restricted to quality managers and controllers. We map the exact roles to your organisation during discovery.
Yes. All scrap and rework records are reachable over Odoo's XML-RPC and JSON-RPC APIs, so Power BI, a data warehouse or a custom dashboard can read live data. You also get one-click Excel/CSV exports for ad-hoc analysis, and optional automated actions can push threshold alerts.
Reason-coded scrap and rework tracking with Pareto analysis and PDF/Excel wastage reports for Odoo 17, 18 and 19 manufacturing.