How do you set realistic and meaningful process improvement goals for non-normal data?
Process capability is a measure of how well a process can meet customer specifications or expectations. It is often used to set improvement goals and monitor progress in business process improvement (BPI) projects. But what if your process data is not normally distributed, meaning it does not follow the familiar bell-shaped curve? How do you calculate and interpret process capability for non-normal data? In this article, we will explain the basics of process capability, the challenges of non-normal data, and some methods and tools to deal with them.
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Mohammed AbdinData Analytics Engineer at Meta -AR Glasses (Display & Optics) | Data Enthusiast | Ex. Tesla 4680 Battery Cell…
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Matt RebeiroStrategic Advisor | Startup | Tech | Ops | Product | GTM Consultant | Marketing | SaaS | AI Process Automation…
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Rahul Narain SaxenaSAP Solution Architect | Consulting Expert I Influencer | Mentor | Career Guide | SAP SD