Smart Factory Automation
A connected manufacturing floor on Odoo: MRP planning, work-centre tablets, IoT machine signals feeding OEE dashboards, in-line quality checks and predictive maintenance for an automotive parts manufacturer.
- Client
- AutoBuild Motors
- Category
- Manufacturing
- Platform
- Odoo 17 MRP, Quality, Maintenance + IoT
- Duration
- 16 weeks
- Team
- 6 specialists
0%
OEE improvement
0%
less unplanned downtime
0%
less scrap and rework
Machine signals feed OEE and its components, and highlight issues before they stop the line.
Overall equipment effectiveness
78.4%
Shift A · live
Press #3
Running
82%
CNC-07
Running
76%
Weld W-2
Idle
64%
Paint booth
Running
79%
Assembly A
Down
41%
QC station
Running
88%
Illustrative view with representative data.
AutoBuild Motors planned production on spreadsheets and recorded output on paper travellers. Machine downtime and scrap were only measured weekly, and quality issues were found at final inspection, after expensive rework had already happened.
They wanted real-time visibility of every work centre and a closed loop between planning, execution, quality and maintenance.
Machines couldn't talk to the ERP
Legacy PLCs used different protocols and had no direct network integration.
Edge gateways read PLC signals (cycle counts, run/stop states, alarms) and publish them to Odoo through a lightweight IoT service, buffering data when the network drops.
Paper-based shop floor
Operators filled forms by hand and data reached the office a day later.
Work-centre tablets show work orders, instructions and quality checks; operators start, pause and finish operations with one tap or barcode scan.
Reactive maintenance
Breakdowns stopped lines without warning.
Vibration and cycle-time anomalies from machine data predict failures and automatically create preventive maintenance requests before breakdowns.
- Multi-level BoMs, routings and MRP scheduling
- Work-centre tablets with digital instructions
- IoT machine data for OEE (availability, performance, quality)
- In-line quality control points and alerts
- Predictive and preventive maintenance
- Real-time production and scrap dashboards
How the system flows
- 1Demand planned
- 2Work orders released
- 3Machines report output
- 4Quality checked
- 5OEE calculated
- 6Maintenance predicted
Key operating metrics before the project and after go-live.
OEE
+28%Unplanned downtime
-38%Scrap rate
-29%
Property ManagementAlkamda Investment
Property Management
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less admin effort
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on-time rent invoices
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portfolio visibility
Reporting & DashboardMultiple clients
Odoo Dashboard
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less reporting time
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faster KPI loading
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self-service dashboards
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