MAN Huddle: Simplifying statistical process control with I-prime charts - 07/08/2025 скачать в хорошем качестве

MAN Huddle: Simplifying statistical process control with I-prime charts - 07/08/2025

MAN Huddle - 07/08/2025 Topic: Simplifying statistical process control with I-prime charts With In this Huddle, you will be introduced to the I-prime (I') chart – a new and improved SPC tool that retains the simplicity of the I chart while addressing its limitations. It handles both measurement and count data, adapts to varying subgroup sizes, and holds the potential to replace other common SPC charts. Target audience: The webinar is intended for analysts and practitioners involved in healthcare quality control and improvement. Prior experience with SPC methodology and programming in R will be beneficial but not essential. If this isn't you, you are still very welcome to come along and learn a bit more about SPC charts and about what can be achieved from programming in R. Aims: After the session you will: • understand the theory behind I' charts, • know when – and when not – to use I' charts as alternatives to traditional SPC charts, and • be able to construct I' charts using R. Preparations and materials: No preparation is required to participate in the webinar. However, if you would like to refresh your understanding of basic SPC theory and practice, we recommend browsing Part 1 of our work-in-progress book: • Anhøj & Mohammed (2025): Mastering Statistical Process Control Charts in Healthcare. A book under development. https://anhoej.github.io/spc4hc/ If you want a head start on the theory behind I' charts, we recommend reading Taylor's original paper: • Taylor (2018): Normalized Individuals Control Chart. The original article introducing I' charts. https://variation.com/normalized-indi... Also, you may wish to install and familiarise yourself with pbcharts, an R package currently in development: • Anhøj (2025): Process Behaviour Charts. Yet another R package for making SPC charts: devtools::install_github("anhoej/pbcharts") https://github.com/anhoej/pbcharts