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.

Process Capability Index 2.0: Modern Process Capability for Predictive, Enterprise-Level Performance Management

Process Metrics /

Process capability has long been used to quantify how well a process can meet customer requirements and specification limits. For decades, engineers and quality professionals relied on traditional capability indices to assess whether variation was acceptable and whether corrective actions were needed. However, in today’s digitally connected, enterprise-scale operating environments, classical interpretations of capability often […]

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How is a Control Chart Used: Its Purpose and Shortcomings – A Better Approach

Process Metrics /

The question “How is a control chart used?” is a critical inquiry that I will rephrase to “How is a control chart used so it leads to the best behavior?” This article will highlight issues with traditional control charting and provide a free app that provides a more effective approach to address these issues. To

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Enhanced Control Chart that Includes Process Capability in One Chart

Performance Measurements, Process Metrics /

A enhanced control chart that includes a process capability statement (that is easy to understand) is provided in a 30,000-foot-level report-out.  Organizational 30,000-foot-level metrics can be integrated with their processes via a value chain in the Integrated Enterprise Excellence (IEE) Business Management System.

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Probability Plotting for Process Performance: How Distribution Analysis Enables Predictive Insights

Performance Measurements, Process Metrics /

A probability plot can be used to quantify process performance through a 30,000-foot-level report-out.  In one chart, a 30,000-foot-level report can include a process stability assessment through an individuals chart(s) and a probability plot to make a predictive statement for process performance. This statistical foundation supports the broader discipline of predictive performance metrics, where organizations

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Quantifying Process Improvement

Performance Measurements, Process Metrics /

Quantifying process improvement impact using a 30,000-foot-level chart is very beneficial for a Lean Six Sigma project or Kaizen event deployments.     Quantifying Process Improvement and 30,000-foot-level Predictability Statements   Note: Content of this webpage is from Chapters 12 and 13 of Integrated Enterprise Excellence Volume III – Improvement Project Execution: A Management and

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