OPTIMIZING THE SCAR PROCESS THROUGH NONCONVENTIONAL METHODS: APPLYING VIBRODIAGNOSTICS AND GENETIC ALGORITHMS FOR QUALITY IMPROVEMENT IN THE AUTOMOTIVE CHAIN

Abstract

This paper explores the application of unconventional methods to optimize the Supplier Corrective Action Request (SCAR) process. The study proposes an innovative framework that integrates vibrodiagnostics for the early detection of defects at the source and genetic algorithms for optimizing supplier process parameters. Through case study analysis, the paper demonstrates how these technologies can identify root causes of non-conformities that remain undetected by traditional methods, leading to more precise corrective actions and durable quality improvements. The results indicate a significant reduction in the recurrence rate of defects and an increase in the overall efficiency of the supply chain.