The transition to Cyber–Physical Production Systems (CPPS) requires reliable real-time identification of material flows, yet RFID performance in metal-rich industrial environments remains sensitive to hardware configuration and tag orientation. This study aims to support RFID-based material-flow management in automotive inbound logistics by identifying a suitable UHF RFID configuration for cable harness containers. A structured experimental configuration-screening procedure based on Design of Experiments (DoE) principles was applied to evaluate three controllable factors: antenna type, RFID transponder type, and transponder orientation. The number of cable harnesses in the container was treated as an uncontrollable factor reflecting operational variability. The experiment included 1500 screening measurements, followed by 4000 validation measurements for the two best-performing transponder configurations. The results indicated that a linearly polarized antenna, outward transponder orientation, and the AD 232 UHF transponder provided the most reliable configuration among the tested alternatives. In the validation sample, this configuration produced no missed reads across 40,000 reading opportunities, corresponding to an observed sample DPMO of zero and a 6+ σ indication. The findings show that systematic RFID configuration can improve material-flow data reliability and support leaner, more transparent CPPS operations, while long-term reliability should be confirmed through extended industrial monitoring.

This paper examines the associations between institutional quality, anti-money laundering (AML) risk, and national competitiveness across 23 European Union member states over the period 2012–2024. The empirical analysis uses the Basel AML Index as the dependent variable and applies pooled ordinary least squares, country fixed-effects, and country random-effects panel models to a common complete-case sample of 269 country-year observations. The random-effects model is retained as the primary specification, while the fixed-effects model is used as a complementary specification and pooled OLS as a benchmark. FHI has a negative and statistically significant coefficient in all three models. In the random-effects model, EFI, SDG, and FHI are negatively associated with the Basel AML Index, whereas GII and VAT GAP have positive and statistically significant coefficients. WCI is not statistically significant in any specification. The findings represent statistical associations rather than evidence of causal effects and highlight substantial heterogeneity among the analyzed EU member states.