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Method Overview: Icon for Displaying Analysis and Reliability Methods

Methods

Tried and tested methods - sound results

Reliability is achieved through the use of clear, structured methods. Each issue requires its own approach: from analyzing possible sources of error to assessing risks and predicting service life. Our methods create transparency, deliver reliable results and give you a secure basis for decision-making.

Our methods ideally complement our consulting: while the consulting provides the framework and strategy, the methods provide the tools to solve problems in a measurable and sustainable way. You can find out more about how we work on the About us page.

Our methods at a glance

Accelerated Life Testing

Accelerated tests to precisely determine service life and failure probabilities.

Field data analysis

Evaluation of real operational data to identify weaknesses and trends.

FTA

Representation and evaluation of complex failure causes in logical structures.

Lifetime models

Modeling of aging and degradation to predict remaining useful life.

RAMS, LCC

Comprehensive assessment of the reliability, availability and life-cycle costs of technical systems.

Root Cause Analysis

Systematic identification of the causes of faults to ensure long-term problem-solving.

Test planning

Structured development of test strategies to effectively verify product lifespan and reliability.

Reliability growth

Systematic improvement of product reliability through analysis and optimisation during the development process.

DoE - Design of Experiments

Efficient experimental design for analysing influencing factors and optimising systems.

FMEA, FMECA

A systematic analysis of potential types of error and their consequences.

HAZOP

Identification of hazards and vulnerabilities in process engineering procedures.

Preventive failure rate analysis

Calculation of failure rates for electronic systems based on standardised reliability data.

Robust Design

Development of robust products to minimise variations and external factors.

Statistical toleration

Analysis of manufacturing variations to reduce waste and improve product reliability.

Weibull analysis

Statistical analysis of failure behaviour to predict service life and product reliability.

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Reliability for your industry

Find out how our methods are used across various industries – from the automotive sector to energy and medical technology.

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