DPU, DPO, and DPMO are metrics that express how your product or process is performing, based on the number of defects. Choosing the appropriate quality metric helps you assess performance against customer expectations. You can also develop project baselines and improvement goals, as well as communicate the level of conformance to your customers.

Use this Six Sigma Calculator to calculate the DPMO, DPO, DPU, Sigma Level and the process Yield, based on the number of units, number of defect opportunities per unit, and the number of defects

2024年5月1日 · Defects per unit (DPU) is an important metric for evaluating and optimizing manufacturing processes. DPU measures the average number of flaws found in a sample of made goods. This provides a real-world look at the quality and consistency of production.

2021年10月31日 · This paper proposes a novel DPU-chart based on the use of defect prediction models for assembled products. In contrast to traditional monitoring charts, DPU-charts do not require preliminary experimental data in the phase of construction of the chart (phase I).

2025年2月14日 · Defects per unit, commonly known as DPU, is a measurement representing the average number of defects that occur with each product unit. The calculation is the number of defects among a group of products divided by the number of products in the group.

Use the Cumulative DPU plot to help you determine whether you have collected enough samples to have a stable estimate of the DPU. Examine the defects per unit for the time-ordered samples to see how the estimate changes as you collect more samples.

Defects Per Unit or DPU identifies how many individual defects are on a single unit or item. It identifies how many different defects there are.

Use our online Defects per unit calculator to do DPU calculation six sigma based on observed defects and total units. Defect Per Unit (DPU) refers to the average number of defects in a given sample product. It is different from the traditional measurement of yield. It is a ratio of the number of defects over the number of units tested.

2022年3月1日 · This paper presents a novel approach to statistically monitor defects-per-unit (DPU) of assembled products based on the use of defect prediction models.