An enhanced individuals control chart methodology is available that can provide a process stability and predictive process capability statement in one chart is available through the Integrated Enterprise Excellence (IEE) business management system 30,000-foot-level reports.
Enhanced Individuals Control Chart with Process Capability Statement
Traditional individuals control charts only assesses whether a process is in-control or not. With traditional methodologies, process capability statements relative to how processes are performing in relationship to specifications need to be a separate analysis. These process-performance statements using a traditional approach are typically made using process capability indices that can be difficult to understand. A 30,000-foot-level chart approach provides in one chart a process stability and a capability assessment from a high-level point of view in words that are easy to understand.
Traditional business scorecards such as a table of numbers and red-yellow-green scorecards can lead to much organizational firefighting. What is needed is a Key Performance Indicators (KPIs) reporting methodology that gets organizations out of the firefighting mode.
Reporting metrics in a 30,000-foot-level format resolves this issue.
The following figure shows how an actual 30,000-foot-level reporting from a red-yellow-green scorecard indicated several improvements were made when a color transitioned from red to green; however, a 30,000-foot-level report-out below this r-y-g report indicates no improvements were made and there is a common-cause non-conformance rate of about 32.6%. If this rate of non-conformance is not satisfactory, this measurement improvement need pulls for the creation of a process improvement project.
An Integrated Enterprise Excellence (IEE) business management system with 30,000-foot-level report-outs throughout the organization provides a methodology that addresses the common-place scorecard and improvement methodology issues described in a one-minute video:
The PDF paper link below provides more information about using a 30,000-foot-level methodology for tracking a single-process output responses over time to determine process stability and then, if the process is stable, provide a prediction statement.