SPC C-Chart Issues And Resolution
This article will build on the Shewhart1 and Deming2 special-cause and common-cause variability concepts as it relates to attribute count data that occur in subgroups.
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ARTICLES (WHITE PAPER)
Smarter Solutions, Inc. provides in these articles (white paper) how-to details that can have significant benefit to both organizational leadership and practitioners. Described (among other things) is the Integrated Enterprise Excellence (IEE) business management and improvement system which goes beyond Lean Six Sigma and the Balanced Scorecard. IEE provides a means to integrated predictive scorecards with the processes that created them. From IEE, organizations can determine where to focus improvement efforts so that the business as a whole benefits.
Lean Six Sigma DMAIC Process Improvement Roadmap
In Lean Six Sigma, the Define-Measure-Analyze-Improve-Control (DMAIC) roadmap is to be followed for the execution of process improvement projects; however there can be very great differences in how this roadmap is executed.
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Process Behavior Charts for Non-normal Data: A 30,000-foot-level Perspective
When non-normally distributed data are tracked over time at the 30,000-foot-level, process stability is to be assessed and a predictive statement provided, when appropriate. However, to make these assessments, a transformation that makes physical sense for this assessment may be needed. This article describes the use of an appropriate transformation from a physical point of view when deciding which actions or non-actions are most appropriate.
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How to Resolve SPC p chart Calculation Issues
P-charts are used in quality control to identify when special-cause or out-of-control conditions occur in timeseries data so that timely corrective actions can be taken to resolve problems. Sometimes data from a p-chart are used also to provide a process capability statement or non-conformance statement.
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Enhanced Individuals Control Chart with Process Capability Statement
This article describes a methodology for tracking a single-process output response over time to determine process stability and then, if the process is stable, provide a prediction statement.
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30,000-foot-level Charting: Infrequent Failures
How to report infrequent failures so the best behaviors occurs should be important to a business. A 30,000-foot-level charting approach for infrequent failures can provide many organizational benefits, as described in the PDF linked-to article below.
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Process Improvement Demonstration: Staged 30,000-Foot-Level Individuals Chart
30,000-foot-level charting consists of two steps. The first step is to determine if the process has a recent region of stability, where this stability region could be six days, six weeks, six months, or six years. If the process does have a recent region of stability, the second step is to describe how the process is performing.
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Enhanced Big Data Framework: Integrated Enterprise Excellence
Big data in information technology is a collection of very large, complicated data sets. With these datasets, it becomes difficult to process using traditional data processing applications.
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Business Performance Reporting Examples: 30,000-Foot-Level Report Enhancements
Predictive measurement statements can be created using the methodologies described in 30,000-foot-level Reports with Predictive Measurements. This article discusses how organizations can benefit from this enhanced measurement technique. With this understanding, businesses, non-profits, and governmental organizations can make improvements that positively impact the enterprise as a whole.
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Enhanced Attribute Data Control Chart with Process Capability Statement
Attribute, pass/fail proportion data, can be monitored over time for stability and then, when a process is stable, provide a prediction statement. When a process has a recent region of stability, it can also be said to be predictable. When this occurs, we can use historical data to make a statement about what we might expect in the future, assuming things stay the same; e.g., the center line of the chart if no transformations are needed to create the 30,000-foot-level chart, and the subgroup sizes are approximately the same.
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