Statistical Process Control (SPC) Charts is a build-to-order Odoo module that ECOSIRE designs, develops, installs and supports for your team — not a stock apps.odoo.com download. It turns the measurements you already capture during in-process inspection into live, statistically-governed control charts so your quality engineers can see a process trending toward its limits and intervene before a single non-conforming part is produced.

Odoo's native Quality app (Enterprise) is built around pass/fail and measurement quality checks tied to work orders, operations, lots and products. What it does not give you is the statistical layer: it records a measurement but it won't compute control limits, apply out-of-control detection rules, or tell you whether your process is even capable of holding tolerance. This module adds exactly that layer, cleanly, on top of the data your operators are already entering.

Technically, the module ships as a proper Odoo addon with its own __manifest__.py declaring dependencies on quality/quality_control (and mrp where work-order context is needed). It introduces new models built on models.Model — a subgroup/sample model that references quality.check measurement records, and a chart-definition model that stores the characteristic, chart type, subgroup size and sampling rule. Control limits and capability indices are stored fields refreshed by computed methods decorated with @api.depends, so UCL/LCL, X-bar, R-bar, Cp and Cpk recalculate automatically as new subgroups arrive rather than being frozen at data-entry time. Access is governed the Odoo-correct way — ir.model.access.csv grants per group (Quality User vs Quality Manager) and ir.rule record rules keep multi-company and multi-plant data properly isolated. Charts render as interactive OWL client-side components inside the backend, with printable QWeb PDF report variants for audit binders and customer PPAP packs. Out-of-control conditions raise Odoo activities/notifications and can trigger base.automation automated actions (e.g. create a quality alert, notify the line lead, or block the next work order). Everything is reachable over XML-RPC / JSON-RPC, so gauges, PLCs or a MES layer can push readings straight into the SPC engine.

The module supports Odoo 17, 18 and 19, on Community or Enterprise (Enterprise recommended so it can consume the native Quality app's measurement checks; a lightweight standalone measurement-capture entry form is provided where Community is required). ECOSIRE scopes it to your actual characteristics, subgroup sizes, sampling frequency and control-rule set during a short discovery, builds it against your Odoo version, installs it on your instance, trains your quality team, and stands behind it with a defined support and update window. Typical delivery is one working week depending on the number of characteristics, chart types and integrations in scope.