Planning for Reliability Data Collection

Part of the Springer Series in Statistics book series (SSS)

This chapter considers planning for reliability data collection. Data collection planning determines how to optimally collect data, given a limited amount of resources (typically, money, time, and the number of units to test). This chapter discusses various planning criteria and presents a simulation-based framework to evaluate these criteria. Depending on the situation, planning can involve single and multiple planning variables. For multiple planning variable situations, we show how to use a genetic algorithm to find a near-optimal plan. This chapter illustrates data collection planning for a number of problems involving binomial, lifetime, accelerated life test, degradation, and system reliability data.


Posterior Distribution Prior Distribution System Reliability Planning Criterion Planning Variable 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Science+Business Media, LLC 2008

Personalised recommendations