Decision-Making Under Uncertainty in Automotive Metrology

Abstract

This paper presents a structured risk assessment applied to industrial metrology processes in the automotive components sector. The study focuses on identifying and evaluating potential sources of uncertainty and disruption that may affect measurement accuracy, repeatability, and compliance. Using a qualitative model based on expert judgment and a standardized risk scoring system, ten common risks were assessed within the operational context of an accredited metrology laboratory. Most of the identified risks were categorized as tolerable and manageable under current procedures. However, the analysis highlights the added value of implementing context-specific mitigation strategies, even for low-probability or low-impact risks. These strategies include preventive maintenance, external audits, digital monitoring, and staff training, measures that enhance both measurement reliability and organizational resilience. The findings support a proactive, cost-effective approach to risk management that aligns with international quality standards and contributes to long-term operational continuity.