Build-to-order Odoo module that auto-calculates OEE (Availability × Performance × Quality) per work center with live downtime tracking and loss analysis. Built to order by ECOSIRE for Odoo 17, 18, 19 — indicative price from $249.00 USD; request a quote for a scoped proposal.
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Build-to-order Odoo module that auto-calculates OEE (Availability × Performance × Quality) per work center with live downtime tracking and loss analysis.
स्वयं सेटअप की ज़रूरत नहीं — ECOSIRE द्वारा निर्मित, इंस्टॉल और समर्थित एक कार्यशील ऐप।
एक बार के निर्माण मूल्य से शुरू करें। किकऑफ़ पर हम आपके साथ मिलकर दायरा तय करते हैं।
ECOSIRE इसे आपके Odoo पर बनाता, कॉन्फ़िगर और इंस्टॉल करता है।
आप लगभग 2–4 सप्ताह में लाइव हो जाते हैं, लॉन्च के बाद समर्थन अवधि के साथ।
Odoo's core Manufacturing app tells you what was produced — it doesn't tell you how efficiently your equipment ran. The OEE & Work Center Performance Monitor is a build-to-order module that ECOSIRE designs, develops, installs, and supports specifically for your plant. It computes Overall Equipment Effectiveness — the classic Availability × Performance × Quality formula — automatically for every work center and machine, straight from your existing mrp.workorder, mrp.workcenter, and mrp.workcenter.productivity records, so you get a true, defensible efficiency number instead of a spreadsheet guess.
Under the hood this is a proper Odoo addon: a clean __manifest__.py declaring dependencies on mrp (plus quality where Enterprise is available), new models.Model classes such as ecosire.oee.line and ecosire.downtime.reason with stored, indexed compute fields (availability, performance, quality, oee — each defined with @api.depends so Odoo recomputes them the instant an underlying value changes). Loss reasons extend the standard mrp.workcenter.productivity.loss records and map cleanly onto the six big losses. Access is locked down with ir.model.access.csv and record rules so operators can log downtime but only managers can edit OEE targets or reason master data. Reporting is delivered through list, pivot, graph, and OWL dashboard views, with QWeb PDF reports for shift and management review, and everything is reachable over XML-RPC / JSON-RPC for BI tools or a plant-floor MES.
Because it's built for you, availability is genuinely accurate: the module reads each work center's working calendar and shift pattern, subtracts only planned stops, and treats unplanned stops as real downtime — no more counting scheduled breaks as losses. Automated actions (Odoo base.automation) can flag a work center the moment its rolling OEE drops below your configured target, escalate a recurring breakdown, or push a discrepancy to the responsible engineer. The result is a live, drill-down picture of where your throughput is actually leaking — by line, product, shift, and operator — and a categorized loss backlog your team can attack with real Pareto data.
Delivered for Odoo 17, 18, and 19 (Community and Enterprise), tuned to your work-center layout and loss taxonomy, with source code, documentation, and a training + support window included. This is a bespoke engagement with a typical 2–4 week build-and-install lead time — not an instant download.
Owns line efficiency and throughput targets. Needs one trustworthy OEE number per work center and shift — sourced from Odoo, not a manual spreadsheet — with drill-down into the losses dragging output down and alerts when a line slips below target.
Runs continuous-improvement and Kaizen. Wants clean six-big-losses data and Pareto charts to prioritize the vital-few downtime causes, plus accurate ideal-cycle-time and speed-loss figures to justify capex and process changes.
Cares about breakdown and setup losses. Uses categorized downtime capture and automated escalations to spot recurring machine failures, tie them to maintenance activities, and prove the reliability impact on availability.
Tracks efficiency across multiple lines or plants. Needs period-over-period OEE trends and management PDF reports, and wants the metric feeding the wider BI stack over XML-RPC/JSON-RPC for board-level reporting.
| Criterion | ECOSIRE | Custom Build | Competitor | Odoo Native |
|---|---|---|---|---|
| True OEE = Availability × Performance × Quality, auto-calculated | Included | Partial support | Partial support | |
| Fits your exact work-center layout, shifts & loss taxonomy | Included | Included | Not included | |
| Six-big-losses categorization with Pareto analysis | Included | Partial support | Partial support | |
| Shift/calendar-aware availability (planned vs unplanned stops) | Included | Partial support | Not included | |
| Configurable OEE targets with automated below-target alerts | Included | Partial support | Not included | |
| Delivered, installed & supported for Odoo 17/18/19 by the builder | Included | Partial support | Not included | |
| XML-RPC/JSON-RPC feed to Power BI / MES with scheduled rollups | Included | Partial support | Partial support | |
| Role-based security (operators log, managers set targets) | Included | Partial support | Partial support | |
| Full source code ownership & migration path across versions | Included | Included | Not included |
This is a build-to-order engagement, not an instant download. Typical lead time is 2–4 weeks from a confirmed scope: we begin with a short discovery on your work-center layout, shift calendars, routings, and loss taxonomy, then build against your Odoo version, deliver to staging for your sign-off, and deploy to production. Timeline scales with the number of lines and any external BI/MES integration; we confirm dates in writing before starting.
Every engagement includes a defined post-go-live support and warranty window covering bug fixes and minor adjustments after acceptance. You receive the full module source code, so nothing is locked. When you upgrade Odoo (for example 18 to 19) we provide a migration path, and ongoing support or an annual maintenance retainer for enhancements and new-version compatibility is available on request.
Both. The module depends on the standard mrp (Manufacturing) app, which exists in Community and Enterprise, and is delivered for Odoo 17, 18, and 19. On Enterprise we can additionally source the Quality factor from Odoo Quality checks and integrate with Maintenance; on Community we derive quality from scrap/rework quantities. We tailor the build to your exact edition and version.
No double entry. The module reads your existing manufacturing transactions: work orders (mrp.workorder), work-center productivity/time logs (mrp.workcenter.productivity), scrap, and calendars. Operators only add value where Odoo doesn't already know something — for example picking a structured downtime reason when a stop occurs. Availability, performance, and quality are then computed automatically as @api.depends fields.
Yes. All OEE and loss models are exposed over Odoo's XML-RPC and JSON-RPC APIs, and we can add scheduled ir.cron rollup tables so dashboards stay fast. We document the field mappings and, if needed, help wire the feed into Power BI, Grafana, or a plant-floor MES as part of the deliverables.
Security is enforced with ir.model.access.csv and record rules. Operators can log downtime and reasons but cannot edit OEE targets, ideal cycle times, or loss master data — those are restricted to supervisor/manager groups. This keeps the metric auditable and consistent across shifts and plants.
Build-to-order Odoo module that auto-calculates OEE (Availability × Performance × Quality) per work center with live downtime tracking and loss analysis.