Statistical Methods for Product Reliability Improvement

15 September 2013; 09:00 – 17:00

This full-day ENBIS-13 pre-conference course will be run by Nikolaus Haselgruber (CIS – Consulting in Industrial Statistics)

Product reliability is a key characteristic of any complex technical product, in particular if for the user the investment costs are considerable and any unforeseen downtime jeopardizes profit or causes customer annoyance.

The workshop is attended for engineers and managers who are responsible for reliability activities during the development process of technical products as well as academics interested in the topic.

The focus is on statistical methods for product reliability improvement. Important questions like those of adequate reliability targets, determination of sample sizes for reliability demonstration and lifetime analysis as well as reliability growth methods are discussed using practical examples. Part of the discussion is both about the advantages of statistical methods as well as their limitations in practice.

The course has two parts:

  • Part 1: Basics of reliability engineering (reliability definition, methods for repairable and non-repairable products, system reliability)
  • Part 2: Application examples (setting reliability targets, sampling for reliability demonstration, lifetime analysis, reliability growth testing)

The open source statistical programming language R is used for the demonstration of the examples. Each participant is invited to bring a laptop (ideally equipped with MS Excel and R) for learning-by-doing execution of illustrative examples.