Quantitative analysis of nonconforming products: A case study in the automotive industry

Abstract

This paper presents an analysis of nonconforming products within a case study conducted in an automotive industry company. Utilizing monthly data over one year, the study examines trends in nonconformance and associated costs. Descriptive statistics reveal significant monthly variations in nonconforming products, while correlation analysis indicates a strong relationship between the frequency of nonconforming products and the incurred costs. The findings suggest that addressing the most frequent types of nonconforming products could lead to substantial cost reductions. Key recommendations include implementing targeted preventive measures, such as enhancing employee training, adhering to operational procedures, and optimizing machinery and equipment settings. Establishing a robust quality control system is essential for minimizing nonconformance.