Statistical Methods for Reliability: Building Trust in R&D Performance
Reliability matters — in products, processes, and performance. Statistical methods for reliability studies equip R&D teams with the tools to evaluate durability, failure rates, and risk over time. From life data analysis and accelerated testing to hazard modeling and confidence intervals, these techniques provide the scientific backbone for making critical design, quality, and safety decisions. Whether you’re in medtech, biotech, or advanced engineering, reliability statistics help ensure your innovations are built to last — and built to inspire confidence.
Introduction
Reliability studies are a type of research or experimental design focused on assessing and improving the reliability of systems, products, or processes. In these studies, the goal is to determine how consistently and dependably a system or product performs over time and under varying conditions. Reliability refers to the ability of a product, system, or component to function as intended without failure, across its expected lifespan or under specified conditions.
In industrial applications, reliability is crucial and testing is expensive. Collected data must be exploited in the best way possible. Reliability data possess specific features that call for dedicated statistical methods. Learn about statistical tools for reliability analysis.
Course Outline
Session 1: Modelling Time-to-Failure Data (Life Data)
- Reliability & life: common questions
- Life data: specific features
- Need for survival/life data methodology
- Modeling survival curves from data approaches:
- Non-parametric
- Parametric
Session 2: Predicting Survival Time
& Advanced methods
- Regression for life data
- Cox regression
Course Duration
The recommended course duration is 2 online sessions.
Target Audience
This module is intended for engineers who want to improve the way to design and analyse reliability studies with the increased knowledge of the most recent tools in this field. It is also intended for people who need to evaluate the scope and validity of reliability studies.
This module introduces the important ideas in statistics and data analysis applied to the field of shelf-life and stability studies. It assumes that participants have no previous knowledge of statistics or that they have not used such notions in a long time.
Course Outline
The recommended duration for this course is 2 online session(s).