Six Sigma
Six Sigma - Related Videos
11:37
Sigma's Non-specific Protease Activity Assay - Casein as a Substrate
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Cited by 414 •
2008
Proteases break peptide bonds. In the lab, it is often necessary to measure and/or compare the activity of proteases. Sigma's non-specific protease activity assay may be used as a standardized procedure to determine the activity of proteases.
12:39
Rapid Genotyping of Mouse Tissue Using Sigma's Extract-N-Amp Tissue PCR Kit
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Cited by 4 •
2008
The complete genotyping of a mouse tail sample, including tissue digestion and PCR readout, is done in one and a half hours using Sigma's SYBR Green Extract-N-Amp Tissue PCR kit.
09:00
Use of the Protease Fluorescent Detection Kit to Determine Protease Activity
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Cited by 15 •
2009
The Protease Fluorescent Detection Kit is designed for the measurement of protease activity using fluorometry. It is also suitable for detection of trace amounts of protease contamination. The method is based on the proteolytic hydroysis of a proprietary formulation of a FITC-labeled casein substrate.
09:11
Genome Editing with CompoZr Custom Zinc Finger Nucleases (ZFNs)
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Cited by 28 •
2012
The CompoZr Custom Zinc-Finger Nuclease (ZFN) Service enables precise genome editing in any organism or cell line at any locus defined by the user. This article describes the process for the design, manufacture, validation and implementation of the CompoZr Custom ZFN Service.
09:12
MISSION LentiPlex Pooled shRNA Library Screening in Mammalian Cells
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Cited by 11 •
2011
Here we use a human LentiPlex pooled library and traditional sequencing methods to identify gene targets promoting cell survival. We demonstrate how to set up and deconvolute a LentiPlex screen and validate the results.
FAQs
Six Sigma examines variation because inconsistent process behavior can produce unreliable results even when defects are not yet frequent. Statistical measurement allows teams to describe performance, investigate sources of variation, and target improvements with evidence rather than assumption. This emphasis connects operational changes to consistency, efficiency, and more predictable outcomes for customers.
Control charts support the control stage by displaying process performance in a form that teams can monitor over time. Their value is not simply documenting results; they help connect observed changes with the question of whether improvements remain controlled. In this way, teams can sustain gains and identify when further analysis of process variation is needed.
Capability analysis and hypothesis testing serve different analytical purposes within Six Sigma. Capability analysis helps quantify how well a process performs, while hypothesis testing provides a structured way to evaluate evidence about possible sources of variation. Used together during analysis, they help teams move from describing performance to assessing likely causes before selecting improvements.
Teams first define the problem and measure current process performance before selecting an improvement. This sequence creates a documented basis for analyzing variation and judging whether later changes produce better results. It also prevents improvement efforts from relying only on assumptions, because the team can compare the post-change process with the measured condition established earlier.
Six Sigma is useful wherever reliable performance matters and process results can be examined quantitatively. The approach applies to healthcare and business operations as well as manufacturing. In these settings, teams can use structured statistical reasoning to reduce variation, improve efficiency, and support more consistent customer or service outcomes while adapting the problem definition to the local process.
Statistical findings become actionable when they identify root causes and guide changes that make a process more predictable. Six Sigma links measured evidence, analysis, improvement, and control rather than treating statistical results as an endpoint. The resulting focus on consistency and efficiency can support improved customer outcomes, while ongoing monitoring shows whether those gains persist.