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.