Smart Factory
Production Data and Costing: Designing the Smart Factory
A design perspective for replacing inconsistent manual production data and complex costing with standardized execution data and automated cost calculation.
Signs that change is needed
- Production data is managed manually or in inconsistent repositories.
- Equipment and IoT data are not effectively connected to operational systems.
- Cost-accounting procedures are excessively complex.
How Odoo addresses the problem
- MRP, work orders, quality and inventory are standardized to collect consistent shop-floor data.
- Equipment and IoT integration creates a foundation for automated production reporting.
- Standard, actual and work-order costs are calculated automatically and variances are analyzed.
Data design that connects to cost
- Connect demand forecasting with material requirements planning.
- Record material consumption and output by work order.
- Standardize the causes of defects, rework and scrap.
- Analyze standard-to-actual cost variances.
A phased maturity path
First establish reliable work-order and inventory data. Then expand AI into quality prediction and demand-to-production optimization.
