Production and Cost Analytics
Analysis of output, raw material consumption, scrap, energy use and downtime by batch, line and shift. Finding the causes of cost changes, assessing production losses and comparing capacity scenarios.
The task
Link the economics of production to actual operations. Determine what drives cost changes, where losses arise and which changes could affect output and profit.
Production process data
Data on output, raw materials, quality, rework, energy consumption and downtime is brought to a common structure. Batches, operations and time intervals are linked across accounting and production sources.
Cost allocation and result comparison rules are defined together with economists and process engineers. When comparing lines and shifts, the product mix, load and production conditions are taken into account.
Root cause analysis
The influence of material consumption, yield, operation duration and downtime on cost is examined.
Factor analysis breaks a change in an indicator down into its components. Statistical models help find dependencies and formulate hypotheses for testing on the shop floor.
Scenario calculations
The calculation model is used to compare production plan and equipment utilization options. The user can assess how a change in volume, output mix or individual costs affects the economics.
In the analytical interface, users can drill down from the final metric to the operations and batches on which the calculation is based.