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E24: The 8 Nelson Rules for Detecting Out of Control Conditions in a Statistical Process Control (SPC) Chart - Lean Portland Happy Hour - July 2023

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Contenu fourni par Lean Portland. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Lean Portland ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

When using Statistical Process Control (SPC) charts to monitor your process, you are comparing your current data to historical data to determine if the process is similar or different. The basis for this decision lies in the Western Electric Rules (now called Nelson Rules) for detecting out of control conditions.

For example, if you detect 6 consecutive data points going upwards from the previous data point, that is considered a trend, and the process should be stopped to investigate if there is a problem or not.

Brion Hurley, Lean Six Sigma Master Black Belt with Business Performance Improvement, will discuss these rules in depth, and explain how they can help you more quickly identify problems in your process. Q&A will follow the presentation.

Watch the video of this presentation: https://www.youtube.com/watch?v=KmcN25qf49Y

Learn more about our upcoming Lean for Social Good Unconference on December 5, 2023!

https://www.eventbrite.com/e/lean-portland-virtual-unconference-tickets-701112705977?

ABOUT US:

Lean Portland is a socially-driven community built organization for both new and experienced continuous improvement professionals. We've been gathering for happy hour since 2012 and every First Tuesday since 2015! As of April 2020, Happy Hour is happening online. Until we can safely meet again in person, we hope to see you here soon!

Learn more about Lean Portland at https://leanportland.com/

To check out upcoming Lean Portland events, visit https://www.eventbrite.com/o/lean-portland-16044200704

  continue reading

24 episodes

Artwork
iconPartager
 
Manage episode 378678225 series 2420538
Contenu fourni par Lean Portland. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Lean Portland ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

When using Statistical Process Control (SPC) charts to monitor your process, you are comparing your current data to historical data to determine if the process is similar or different. The basis for this decision lies in the Western Electric Rules (now called Nelson Rules) for detecting out of control conditions.

For example, if you detect 6 consecutive data points going upwards from the previous data point, that is considered a trend, and the process should be stopped to investigate if there is a problem or not.

Brion Hurley, Lean Six Sigma Master Black Belt with Business Performance Improvement, will discuss these rules in depth, and explain how they can help you more quickly identify problems in your process. Q&A will follow the presentation.

Watch the video of this presentation: https://www.youtube.com/watch?v=KmcN25qf49Y

Learn more about our upcoming Lean for Social Good Unconference on December 5, 2023!

https://www.eventbrite.com/e/lean-portland-virtual-unconference-tickets-701112705977?

ABOUT US:

Lean Portland is a socially-driven community built organization for both new and experienced continuous improvement professionals. We've been gathering for happy hour since 2012 and every First Tuesday since 2015! As of April 2020, Happy Hour is happening online. Until we can safely meet again in person, we hope to see you here soon!

Learn more about Lean Portland at https://leanportland.com/

To check out upcoming Lean Portland events, visit https://www.eventbrite.com/o/lean-portland-16044200704

  continue reading

24 episodes

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