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.
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© 2008 Springer Science+Business Media, LLC
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(2008). Planning for Reliability Data Collection. In: Bayesian Reliability. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-77950-8_9
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DOI: https://doi.org/10.1007/978-0-387-77950-8_9
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-77948-5
Online ISBN: 978-0-387-77950-8
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