From the course: Cert Prep: Certified Six Sigma Green Belt
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Statistical process control (SPC) basics
From the course: Cert Prep: Certified Six Sigma Green Belt
Statistical process control (SPC) basics
Developed by Dr. Walter Schuhardt over 100 years ago, Statistical Process Control, or SPC, charts enable operators and process owners to control the process by indicating when to intervene and take action, and when to leave the process alone, so as not to overreact to random variation. Okay, before we go further, you need to go back and take note. the exam may ask you who invented SPC charts and what SPC charts enable you to do. So, in less than a minute into this video, you've already got two exam questions studied. Now, the focus of SPC is on process variation and process variation has two categories, random and non-random. Random variation is due to chance or common causes. Such variation is systemic, chronic, or common to the process. With only common causes, the pattern of variation is what we can consider to be within the limits of a routine process. For example, variation might be due to poor workstation design, poor methods, poor training, or supervision. If only common causes…
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Contents
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Statistical process control (SPC) basics7m 6s
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Rational subgrouping in SPC4m 24s
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Control charts in SPC6m 35s
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Sustaining improvements in Lean Six Sigma4m 26s
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Plan, do, check, act (PDCA)5m 26s
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Total productive maintenance (TPM)5m 56s
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Visual factory tools for sustaining process control3m 31s
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