This chapter delves into the RCA manufacturing tool, examining its development and significance and the benefits it offers when properly implemented. In addition, it explores the critical success factors for adoption and recommendations for implementation. Moreover, a bibliometric review was conducted to analyze the RCA-based problem-solving approach in the industry, identifying the authors, institutions, and countries that have contributed the most scientific papers and those that have been most cited. Lastly, an applied case study is presented, demonstrating the step-by-step implementation of an RCA based on the 8D’s methodology to resolve a quality issue detected by a customer in a corrugated cardboard box. Using One-Way ANOVA, the cause of the problem was initially validated. The effect was then quantified, enabling the customer to identify the critical quality variable that needs to be maintained. It is important to note that RCAs do not necessarily require substantial investment to eliminate the root cause of a problem. Instead, the use of statistical tools and methodologies, whether classical or based on artificial intelligence and big data, can provide a cost-effective solution.