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Root Cause Analysis for Identifying the Causes of Errors in Technical Systems

Root Cause Analysis

Finding causes - solving problems sustainably.

Root Cause Analysis (RCA) comprises methods for identifying the actual causes of faults or problems in products and processes.
The aim is not to treat symptoms, but to identify the true source of the problem and eliminate it permanently.

Root cause analysis is a central component of many quality management systems, such as Six Sigma or the 8D process.

When root cause analysis becomes necessary

Root cause analysis is primarily used when problems can no longer be solved by experience alone – for example, when known products fail under new operating conditions or unexpected errors occur.

Procedure and methodology

The basic idea of all RCA methods is to describe the problem (symptom) as precisely as possible, followed by a narrowing down of the potential sources of the problem and the subsequent systematic tracing of the error path.
A distinction is made between theoretical analyses and test-based methods.

Problem level

Theoretical root cause analysis

Known procedures are the:

Both approaches are valuable tools, but they reach their limits when dealing with complex problems, as they are often unable to identify combined causes.

System analysis according to Vester

Vester’s system analysis delivers very good results for complex systems. With the help of the so-called intensity relationship matrix, expert knowledge is structured and new correlations become visible – a decisive step for innovative solutions.

Test-based root cause analysis

Test plans for root cause analysis pursue the goal of eliminating problems experimentally. A distinction is made between two causes of problems:

An established procedure in this area is the component replacement method, which offers a methodically and statistically proven way of identifying and eliminating problems caused by components.

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In combination with other methods

Root cause analysis complements many other reliability engineering methods, in particular reliability testing and warranty management. In combination with design of experiments (DoE), root causes can also be validated experimentally and effectively eliminated – for a sustainable increase in quality.

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