Process Metrics

Process metrics need to lead to the most appropriate behaviors. Processes have variability and may or may not have specifications.

Performance measurements for processes need to provide direction to the most appropriate behaviors considering both process variability and any specification that may exist. The output of processes can have both common-cause variability and special-cause variability.

In process metric reporting, typical process variability is separated from unusual events or trends. Traditionally this separation is make using statistical process control (SPC) charts such as x-bar and R charts and p-charts. How a process is performing for an in-control process relative to specifications traditionally involves techniques such as process capability indices.

However, traditional control charting and process capability reporting have mathematical issues. An Integrated Enterprise Excellence (IEE) 30,000-foot-level reporting format addresses these issues. IEE 30,000-foot-level reporting provides both a process stability assessment and predictive statement for stable processes in one chart.

Transforming Individuals Control Chart Data and Process Capability Reporting in One Chart

Transforming individuals control chart data is an important consideration to avoid common cause variability appearing as special cause events.  The transformation of data (for situations that make physical sense) is easily accomplished in 30,000-foot-level tracking metric report-outs, which also can provide a predictive process capability statement — in one chart.

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Process Performance and KPI Tracking 2.0: Diabetes Measurement and Improvement Example

This process performance and KPI Tracking 2.0 example uses a colleague’s diabetes measurement data to illustrate an enhanced statistical-based process performance and Key Performance Indicator (KPI) tracking methodology that encourages and displays results from process enhancement efforts.

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KPI and Process Performance Metrics 2.0: No Specification or Goal Required

This KPI and process performance metrics example describes an enhanced measurement reporting technique that requires no goal or specification. The described method can provide more insight into what is happening in a process (and what to do differently to improve its response) than ever seen before with a traditional measurement report-out.

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Statistical Process Control Chart X-bar Chart Example

This Statistical Process Control Chart  x bar and r chart example describes an effective way to create a high-level performance tracking system that includes a process capability report-out in one report-out.  The described 30,000-foot-level reporting first assesses process stability from a high-level vantage point and then if the process is stable provides a capability statement, using terminology

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How to Report Performance Measures with Analyses, a Diabetes Illustration

ASQ Quality Progress January 2017 published article titled “Monitor and Manage: Diabetes measurement tracking at the 30,000-foot-level.” Described is an Integrated Enterprise Excellence (IEE) approach for diabetes measurement tracking and understanding improvement opportunities. Techniques apply to business key performance indicators (KPIs) as well; e.g., in an operational excellence business management system.

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