Root Cause Analysis (RCA): Learn Effectively With Examples

This is a detailed course to provide you understanding of RCA tools with Examples

Ratings: 3.00 / 5.00




Description

Root Cause Analysis (RCA) is a systematic approach to identify the underlying cause(s) of a problem or incident.

RCA is widely used across various industries to identify the root cause(s) of a problem or an incident and to develop effective solutions to prevent the recurrence of the problem.

This online course on Root Cause Analysis is designed to provide a comprehensive understanding of RCA principles, techniques, and tools.

The course will cover the various steps involved in RCA, including problem identification, data collection and analysis, determining the root cause(s), and developing and implementing practical solutions.

The course will be divided into several tools covering the following topics:

  1. Introduction to Root Cause Analysis

  2. The RCA process and its steps

  3. Understanding the problem: problem definition, scope, and impact

  4. Data collection and analysis techniques

  5. Determining the root cause(s) using RCA tools and techniques

  6. Developing and implementing practical solutions

  7. Monitoring and evaluating the effectiveness of the solutions

The course will also cover case studies and practical examples to help participants understand how RCA can be applied in different situations.

By the end of the course, participants will have a good understanding of RCA principles and techniques. They will be able to apply these principles to identify and solve problems in their own organization.

The course is suitable for professionals from various industries, including manufacturing, healthcare, finance, IT, and others.

What You Will Learn!

  • What is Root Cause Analysis (RCA)?
  • Root Cause Analysis Tools with Practical Examples
  • 5 WHY Analysis (Why-Why Analysis) with practical examples
  • Fishbone Diagram (Ishikawa) with practical examples
  • Failure Modes and Effects Analysis (FMEA) with practical examples
  • Pareto Chart with practical examples
  • Scatter Diagram with practical examples
  • Correlation and Regression Analysis with examples

Who Should Attend!

  • Students
  • Working Professionals
  • Company Employees
  • Leadership
  • Professors
  • Freelancers
  • Business Owners
  • Freshers
  • Management People