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…
Continue reading →Day: February 7, 2013
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.
Continue reading →AQL Process (Acceptable Quality Level) Issues And Resolution
When determining an approach for assessing incoming part quality, the analyst needs to address the question of process stability. If a process is not stable, the test methods and confidence…
Continue reading →Enhanced Predictive Analytics Techniques using 30,000-Foot-Level Reporting
Enhanced predictive analytics techniques are available through 30,000-foot-level reporting, which is a portion of the Integrated Enterprise Excellence (IEE) business management system. (more…)
Continue reading →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…
Continue reading →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.
Continue reading →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…
Continue reading →Enhanced xbar and r chart with Process Capability Statement
Time-series data that have multiple subgroup samples can be monitored over time for stability and then, when a process is stable, provide a prediction statement.
Continue reading →Enhanced Approach for How to Show Process Improvement
With a high-level process-output tracking at the 30,000-foot-level, there will be an infrequent subgrouping/sampling plan such that the typical variability from input variables that could affect the response will occur…
Continue reading →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…
Continue reading →