Performance measurement for offline inspections under variable interactions and inspection errors in low-volume production

Abstract The assessment of the performance inspection strategies is a crucial element in design phase product quality inspections manufacturing companies. aspects that designers need to consider include: (1) typology inspection, (2) variables involved, (3) potential interaction between and (4) presence errors. In particular, low-volume critical due lack historical data inadequacy traditional statistical approaches. By considering these issues, this paper proposes novel approach support prediction offline performance. development probabilistic model based on analysis possible variable interactions errors definition some measures may successfully help early stages process planning. supported by practical application Additive Manufacturing field.