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Odoo OEE & Work Center Performance Monitor — Specialized Solutions Module for Odoo

Les détails du produit sont affichés en anglais. Traductions à venir.

Prix: $249.00 USD
Versions Odoo: 17, 18, 19
Temps d'installation: 20160 minutes
Licence: Perpétuel unique
Langues: 11 langues

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Odoo OEE & Work Center Performance Monitor

Name: Odoo OEE & Work Center Performance Monitor
Brand: ECOSIRE
SKU: odoo-oee-workcenter-performance

Build-to-order Odoo module that auto-calculates OEE (Availability × Performance × Quality) per work center with live downtime tracking and loss analysis.

$249.00USD

Aucun paiement maintenant. Ceci envoie une demande de devis à notre équipe — nous vous recontacterons par e-mail avec les tarifs et les prochaines étapes.

Fonctionnalités clés

Automatic OEE calculation (Availability × Performance × Quality) per work center and per machine, stored as @api.depends compute fields so numbers refresh the moment a work order or downtime record changes

Six-big-losses categorization — breakdown, setup/adjustment, idling/micro-stops, reduced speed, defects/rework, and startup/yield — mapped onto extended mrp.workcenter.productivity.loss records

Structured downtime and blocked-reason capture from the work-order screen, with a reason tree operators pick from and mandatory notes for major stops

Shift- and calendar-aware availability that reads each work center's resource.calendar, subtracts only planned stops, and never counts scheduled breaks as loss

Configurable OEE targets per work center (and world-class benchmark lines) with automated alerts when rolling OEE falls below target

Pareto charts of downtime causes and loss minutes so teams attack the vital few reasons driving the most lost time

Trend dashboards by line, product, operator, and shift built with OWL and Odoo graph/pivot views for period-over-period comparison

Ideal-cycle-time master data per operation/product used to compute the Performance factor accurately instead of assuming nameplate speed

Quality factor sourced from scrap and rework quantities (and Odoo Quality checks on Enterprise) so defects and startup losses reduce OEE honestly

Automated actions via base.automation to escalate repeat breakdowns, notify the responsible engineer, or open a maintenance/activity when a threshold is breached

QWeb PDF reports for daily shift OEE and monthly management review, ready to print or email from the record

Full XML-RPC / JSON-RPC read access to OEE and loss data for Power BI, Grafana, or a plant-floor MES, plus scheduled ir.cron rollups for fast dashboards

Role-based security via ir.model.access.csv and record rules — operators log downtime, supervisors review, only managers edit targets and reason master data

Multi-company and multi-plant aware, respecting Odoo company rules and per-work-center configuration

À propos de ce produit

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.

Pourquoi choisir Odoo OEE & Work Center Performance Monitor

Six-big-losses categorization — breakdown, setup/adjustment, idling/micro-stops, reduced speed, defects/rework, and startup/yield — mapped onto extended mrp.workcenter.productivity.loss records

Structured downtime and blocked-reason capture from the work-order screen, with a reason tree operators pick from and mandatory notes for major stops

Shift- and calendar-aware availability that reads each work center's resource.calendar, subtracts only planned stops, and never counts scheduled breaks as loss

Configurable OEE targets per work center (and world-class benchmark lines) with automated alerts when rolling OEE falls below target

Pareto charts of downtime causes and loss minutes so teams attack the vital few reasons driving the most lost time

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.

Ce que vous obtenez

Complete, installable Odoo module (source code) packaged for your Odoo 17, 18, or 19 database — Community or Enterprise — with clean __manifest__.py, models, security, views, and QWeb reports
Configured loss taxonomy and OEE targets: your six-big-losses reason tree, ideal cycle times, and per-work-center target lines set up against your real routings
OWL dashboards and pivot/graph reports plus PDF shift and management OEE reports, tailored to your line/product/operator structure
Data-integration hooks: XML-RPC/JSON-RPC access documented, optional scheduled rollup jobs, and a mapping spec if you plan to feed an external BI/MES tool
Technical and user documentation — architecture notes, model/field reference, security matrix, and a step-by-step operator guide for logging downtime
Live training session(s) for plant managers, supervisors, and operators, recorded for onboarding future staff
Deployment to your staging then production environment with an upgrade/migration path and a rollback plan
A defined post-go-live support and warranty window covering bug fixes and minor adjustments after acceptance

Pour qui c'est

Plant / Production Manager

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.

Production / Manufacturing Engineer

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.

Maintenance / Reliability Lead

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.

Operations Director / COO

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.

Aperçu de l'installation

Télécharger depuis ECOSIRE
Achetez la licence sur ecosire.com et téléchargez le module ZIP Odoo OEE & Work Center Performance Monitor depuis le tableau de bord de votre compte.
Télécharger sur Odoo
Extrayez le ZIP dans votre dossier de modules complémentaires personnalisés Odoo sur le serveur (ou téléchargez-le via Applications > Installer à partir du fichier sur Odoo.sh / runbot).
Installer le module
Activez le mode développeur, ouvrez les applications, cliquez sur Mettre à jour la liste des applications, recherchez Odoo OEE & Work Center Performance Monitor et appuyez sur Installer.
Configurer les paramètres
Ouvrez le nouveau menu, collez votre clé de licence ECOSIRE, connectez toutes les informations d'identification externes (Shopify, Amazon, Stripe, etc.) et enregistrez.
Vérifier et mettre en ligne
Exécutez le test de connexion intégré, synchronisez vos 10 premiers enregistrements et planifiez le cron récurrent. Contactez le support si quelque chose échoue.

Comment Odoo OEE & Work Center Performance Monitor se compare

Critère	ÉCOSIRE	Construction personnalisée	Concurrent
True OEE = Availability × Performance × Quality, auto-calculated	Inclus	Prise en charge partielle	Prise en charge partielle
Fits your exact work-center layout, shifts & loss taxonomy	Inclus	Inclus	Non inclus
Six-big-losses categorization with Pareto analysis	Inclus	Prise en charge partielle	Prise en charge partielle
Shift/calendar-aware availability (planned vs unplanned stops)	Inclus	Prise en charge partielle	Non inclus
Configurable OEE targets with automated below-target alerts	Inclus	Prise en charge partielle	Non inclus
Delivered, installed & supported for Odoo 17/18/19 by the builder	Inclus	Prise en charge partielle	Non inclus
XML-RPC/JSON-RPC feed to Power BI / MES with scheduled rollups	Inclus	Prise en charge partielle	Prise en charge partielle
Role-based security (operators log, managers set targets)	Inclus	Prise en charge partielle	Prise en charge partielle
Full source code ownership & migration path across versions	Inclus	Inclus	Non inclus

Foire aux questions sur Odoo OEE & Work Center Performance Monitor

How long until the module is delivered and installed?

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.

How are support and updates handled after go-live?

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.

Does this work with Odoo Community, or only Enterprise?

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.

Where does the OEE data actually come from — do operators have to enter it twice?

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.

Can we feed the OEE numbers into Power BI or another external system?

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.

How is access controlled so operators can't change targets or fudge numbers?

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.

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