示意预览Reason-coded scrap and rework tracking with Pareto analysis and PDF/Excel wastage reports for Odoo 17,
18 and 19 manufacturing.
什么是 Scrap & Rework Tracking Report？
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 $999.00 USD; request a quote for a scoped proposal.
核心功能
按需定制，全程代劳
无需自行搭建——由 ECOSIRE 构建、安装并提供支持的可用应用。
- 1
您下单
以一次性构建价格开始。我们在启动时与您共同确定范围。
- 2
我们构建与安装
ECOSIRE 在您的 Odoo 上构建、配置并安装。
- 3
上线 + 支持
约一个工作周内上线，并包含两周上线支持。我们交付的代码中的缺陷免费修复。
技术规格
- Odoo 兼容性
- Odoo 17, Odoo 18, Odoo 19
- 版本
- 企业版和社区版
- 许可证
- 许可证需要确认
- Python 要求
- Python 3.10+
- 数据库
- PostgreSQL 12+
关于此产品
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.
你得到什么
- Complete, documented Odoo module source (the addon directory with __manifest__.py, models, views, security and QWeb report templates) delivered to your repository
- Installation and configuration on your environment — self-hosted server or Odoo.sh — against your exact Odoo version (17/18/19) and edition
- Your tailored scrap/rework reason taxonomy and cost rules configured and loaded, agreed during discovery
- Security model set up: ir.model.access.csv access rights and record rules mapped to your operator, quality-manager and admin roles
- Branded QWeb PDF wastage report and Excel/CSV export templates matched to your reporting format
- Admin and end-user documentation plus a recorded or live training session for production and quality teams
- A UAT cycle on your data with a defined sign-off checklist before go-live
- Post-go-live support window for bug fixes and questions, with an option to extend into an ongoing maintenance plan
这是给谁的
Production Manager
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.
Quality / Continuous-Improvement Lead
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.
Plant Controller / Finance Manager
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.
Scrap & Rework Tracking Report 如何比较
| 标准 | 伊科西尔 | 定制建造 | 竞争对手 | Odoo 原生 |
|---|---|---|---|---|
| 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 | 不包括在内 |
| Rework orders and rework cost capture separate from scrap | First-class rework records with labour + material cost | Achievable but significant bespoke effort | 部分支持 | 不包括在内 |
| Pareto (80/20) analysis of top loss drivers | Built-in Pareto view ranking causes | Requires custom pivot/graph development | 部分支持 | 不包括在内 |
| Scrap rate by product, MO, work center and reason | All four dimensions from one analysis view | Only what you scope and build | 部分支持 | 部分支持 |
| Branded PDF + Excel/CSV wastage reports with date/product filters | QWeb PDF plus Excel/CSV export included | Must build QWeb and export logic yourself | 部分支持 | 不包括在内 |
| Security via ir.model.access.csv + record rules (operator vs manager) | Role-based access configured to your org | You define and test all rules | 部分支持 | 部分支持 |
| 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 | 不包括在内 | 包含 |
| Upgrade-safe extension of core MRP objects | Extends stock.scrap/mrp.production without forking core | Risk depends on developer discipline | 部分支持 | 包含 |
关于Scrap & Rework Tracking Report的常见问题
Is this an instant download from the Odoo App Store?
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.
How long does delivery take, and what is the lead time?
Typical delivery is one working week 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.
What support and updates do I get after go-live?
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.
Which Odoo versions and editions does it support?
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.
How is scrap cost calculated and kept accurate?
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.
Can operators log scrap without seeing sensitive cost figures?
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.
Can we get the data into Power BI or another BI tool?
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.
相关模块
Scrap & Rework Tracking Report
Reason-coded scrap and rework tracking with Pareto analysis and PDF/Excel wastage reports for Odoo 17, 18 and 19 manufacturing.
- Reason-coded scrap recording at any production step — a mandatory reason many2one on a dedicated scrap-event model links each loss to its manufacturing order, work center and product
- Configurable scrap/rework reason taxonomy (models.Model + admin-managed records) so you code losses to your own categories: tooling, operator error, material defect, setup, spec change and more
- Rework order tracking as first-class records — reworkable defects are separated from true scrap, routed for repair, and closed independently
- Rework cost capture that records the extra labour time and consumed materials so you see the true cost of fixing versus discarding