To identify the fundamental, underlying causes of a problem or incident, rather than just addressing its symptoms.
- Metodologías: Ingeniería, Diseño de producto, Gestión de proyectos
Root Cause Analysis (RCA)

Root Cause Analysis (RCA)
- 5 porqués, Mejora continua, Medidas correctoras, Análisis de fallos, Análisis del árbol de fallos (FTA), Técnicas de resolución de problemas, Mejora de procesos, Gestión de calidad, Análisis de las causas
Objetivo:
Cómo se utiliza:
- A systematic investigation process that uses various tools and techniques (e.g., 5 porqués, Fishbone Diagram, Fault Tree Analysis) to drill down through layers of symptoms to find the initiating cause(s) of an issue.
Ventajas
- Helps prevent problem recurrence by addressing the true source; Leads to more effective and lasting solutions; Improves understanding of processes and systems.
Contras
- Can be time-consuming and resource-intensive; Requires a skilled facilitator and team involvement; May be difficult to identify all root causes, especially for complex problems.
Categorías:
- Lean Sigma, Fabricación, Resolución de problemas, Calidad, Gestión de riesgos
Ideal para:
- Investigating significant problems, preventing recurrence of issues, and improving system reliability and safety.
Root Cause Analysis (RCA) finds its application across various industries including manufacturing, healthcare, software development, and safety engineering, often initiated in contexts where significant failures or recurring issues undermine efficiency or safety. In manufacturing, RCA is employed during the quality assurance phase to determine the fundamental causes of defects, utilizing tools like the Fishbone Diagram to categorize potential causes into various categories such as machinery, materials, and methods. In healthcare, RCA plays a pivotal role in investigating adverse events, enabling teams to identify process flaws that contribute to patient safety incidents, thus enhancing overall care quality. In software development, RCA can be applied during the debugging process, where teams use the 5 Whys technique to trace bugs back to their origin, fostering better code quality and less frequent failure occurrences. This methodology typically involves a cross-functional team of stakeholders, including engineers, quality assurance personnel, and sometimes even customers, who collaborate to analyze problems and derive solutions. By comprehensively understanding systems and processes through RCA, organizations can implement changes that not only rectify immediate issues but also enhance system reliability and reduce the chances of future failures, solidifying a culture of continuous improvement and operational excellence.
Pasos clave de esta metodología
- Identify the problem and define it clearly.
- Gather relevant data and evidence related to the problem.
- Formulate a problem statement to describe the issue's impact.
- Use tools like the Fishbone Diagram to categorize potential causes.
- Apply the 5 Whys technique to drill down to deeper causes.
- Prioritize the identified causes based on their significance.
- Determine the root cause(s) by verifying against evidence.
- Develop and implement corrective actions to address root causes.
- Establish monitoring mechanisms to track the effectiveness of solutions.
Consejos profesionales
- Incorporate quantitative methods alongside qualitative analysis to validate findings and strengthen the reliability of conclusions.
- Regularly review and update RCA documentation to incorporate new learnings, ensuring continuous improvement of methodologies.
- Utilize cross-functional teams to bring diverse perspectives, fostering comprehensive understanding and facilitating root cause identification.
Leer y comparar varias metodologías, recomendamos el
> Amplio repositorio de metodologías <
junto con otras más de 400 metodologías.
Sus comentarios sobre esta metodología o información adicional son bienvenidos en la dirección sección de comentarios ↓ , así como cualquier idea o enlace relacionado con la ingeniería.
Publicaciones relacionadas
Calculadora de METS a calorías
Metaanálisis
Asignación de mensajes
Diagramas de modelos mentales
Fuerzas de empuje y tracción máximas admisibles
Planificación de necesidades de material (MRP)