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<title><![CDATA[Ryan Blundell]]></title>
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<title><![CDATA[Statistical Process Control, The Alpha and Omega of Six Sigma—Part 1: The Origin Story by Rip Stauffer]]></title>
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<pubDate>Fri, 07 Jan 2011 04:17:28 EST</pubDate>
<description><![CDATA[This is the first in a four-part series on Statistical Process Control (SPC), which is the foundation for Six Sigma, providing the best known method for capturing the Voice of the Process and using data to manage a process. Organizations that practice Statistical Process Control as part of a comprehensive quality management system will identify required Six Sigma Projects and Kaizen events more readily, complete them more quickly and not only hold the gains but continue to improve after a Six Sigma project is completed. Identifying stability in a process enables capability studies, DPMO calculation and baselining; without stability, most of our other statistical tests on process data are suspect. In the series, we will explore the history of Statistical Process Control, some of its most common tools and concepts, and specific Six Sigma applications.]]></description>
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<title><![CDATA[The Troubled Healthcare Industry and Six Sigma by Anantha Kollengode]]></title>
<link>http://www.sixsigmaiq.com/columnarticle.cfm?externalid=436&amp;columnid=10&amp;utm_source=sixsigmaiq.com&amp;utm_medium=SMO&amp;utm_campaign=BUSINESSEXC&amp;utm_content=7_1_2011&amp;mac=ssiq_LINKEDIN_smo_2010&amp;utm_term=DEFAULT&amp;shownewswindow=1</link>
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<pubDate>Fri, 07 Jan 2011 04:17:06 EST</pubDate>
<description><![CDATA[The healthcare industry is currently facing challenges on many fronts. Escalating costs for rapidly advancing technology and pressure to deliver quality care to more people (baby boomers, uninsured, under insured) at lower costs have created the perfect storm. Not a single day passes without dire predictions about baby boomers and their healthcare.]]></description>
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<title><![CDATA[Statistical Process Control, The Alpha and Omega of Six Sigma—Part 1: The Origin Story by Rip Stauffer]]></title>
<link>http://www.sixsigmaiq.com/article.cfm?externalid=985&amp;utm_medium=SMO&amp;utm_campaign=BUSINESSEXC&amp;utm_content=7_1_2011&amp;mac=ssiq_LINKEDIN_smo_2010&amp;utm_term=&amp;utm_term=DEFAULT&amp;shownewswindow=1</link>
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<pubDate>Fri, 07 Jan 2011 04:12:00 EST</pubDate>
<description><![CDATA[This is the first in a four-part series on Statistical Process Control (SPC), which is the foundation for Six Sigma, providing the best known method for capturing the Voice of the Process and using data to manage a process. Organizations that practice Statistical Process Control as part of a comprehensive quality management system will identify required Six Sigma Projects and Kaizen events more readily, complete them more quickly and not only hold the gains but continue to improve after a Six Sigma project is completed. Identifying stability in a process enables capability studies, DPMO calculation and baselining; without stability, most of our other statistical tests on process data are suspect. In the series, we will explore the history of Statistical Process Control, some of its most common tools and concepts, and specific Six Sigma applications.]]></description>
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