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Reliability and Statistical Process Control

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Abstract

When components fall outside specs the chance for quality and reliability issue increases. Let’s explore a couple of design and manufacturing cases where effectively using statistical process control will enhance your product’s reliability performance.

We often assume the components and processes we rely on to create a reliable product are stable. Is that true? What is the risk if they are not stable? As reliability professionals we work with our vendors and manufacturing teams to create reliable products. We often identify and provide the critical information on which components or processes are critical to reliable performance.

Understanding how SPC and reliability relate, plus the basics of SPC and capability analysis, allow us to implement the design intent and create a reliable product. Let’s explore how to determine if a vendor ‘gets it’ concerning SPC. Also, let’s discuss how to judge a SPC program, how to select critical to reliability elements, and how to implement SPC across your supply chain and manufacturing process.

In this event we will discuss key elements that identify critical to reliability element, plus how to prioritize which processes to monitor and control using SPC. Starting with a basic introduction to SPC and capability analysis, we will quickly move to how to effectively improve your projects reliability performance using process control techniques.

This Accendo Reliability webinar originally broadcast on 14 July 2015.

2 Responses to Reliability and Statistical Process Control

  1. Michael Smith July 16, 2015 at 7:54 am #

    Fred, I missed the webinar “Reliability and Statistical Process Control”. How can I view the recording?

    Best regards,

    Michael

    • Fred July 16, 2015 at 9:47 am #

      Hi Michael,

      Missed you at the event – and the recording will be available at http://www.fmsreliability.com/accendo in a day or two (been swamped this week). I’m working on posting the recording in-between engagements and phone calls.

      Do let me know know if you have any questions.

      Cheers,

      Fred

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