Grouping of Inspection Characteristics to Reduce Costs of Adaptive Inspection Planning in Variant Production

Heterogeneous customer requirements and competition force enterprises to manufacture variants. In variant production, 100% inspection with a complete inspection of product characteristics is standard. This thesis develops a procedure to apply sampling inspection and key characteristics in variant production using algorithms on measurement data. The procedure and algorithms reduce the effort for adaptive inspection planning for variants. Validation demonstrates the procedure’s applicability.