What is the difference between SPC and SQC? - iSixSigma
Feb 23, 2004 · Some prefer SQC because the idea of “quality” is larger and more encompassing than that of “process.” Others counter this by pointing out that the term “process” is …
Integrating SPC and SQC to Overcome Weaknesses in Each
Feb 26, 2010 · SQC and SPC are two powerful tools, which have different goals and requirements for successful application. By using a methodology that combines the strengths of both …
A Guide to Control Charts - iSixSigma
Jan 28, 2025 · How do you know which control charts to use for an improvement project? Our guide can help you identify which works best for your needs.
statistical process control Archives - isixsigma.com
Jan 30, 2025 · Statistical quality control (SQC) and statistical process control (SPC) are two powerful tools, which have different goals and requirements for successful application. By …
Streamlining Six Sigma Projects with the 7 QC Tools
Jan 22, 2025 · One of the easiest ways to streamline Six Sigma projects is using the 7 QC tools. These tools can help determine problems before they arise.
How to Calculate and Utilize Upper Control Limit - iSixSigma
Jan 30, 2025 · Mastering the upper control limit is unlocking the potential for your SPC. Learn how to leverage this effective tool during your analysis.
Assignable Cause: Adapting to the Unexpected - isixsigma.com
Feb 8, 2025 · What is assignable cause? Production can have unexpected circumstances, learn how this cause can benefit or impact your processes.
Critical To Quality: The Key to Meeting Customer Expectations
Jan 23, 2025 · Critical to Quality are the key attributes of a product or service that your customers have defined as being important.
Why Upper Specification Limits Matter in Process Improvement
Feb 6, 2025 · What is the upper specification limit? Find out how it relates to your data analysis, and how it benefits your process improvement.
Warning Limits: Catch Outliers in Your Production - iSixSigma
Oct 19, 2024 · What are warning limits? Find out how these limits can clue you into potential problems in your production line.