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The process capability index, or process capability ratio, is a statistical measure of process capability: the ability of an engineering process to produce an output within specification limits. [1] The concept of process capability only holds meaning for processes that are in a state of statistical control .
The process capability is a measurable property of a process to the specification, expressed as a process capability index (e.g., C pk or C pm) or as a process performance index (e.g., P pk or P pm). The output of this measurement is often illustrated by a histogram and calculations that predict how many parts will be produced out of ...
Once a process is put into a state of statistical control, process capability is described using process capability indices, which are formulaically identical to P pk (and P p). [disputed – discuss] The indices are named differently in order to call attention to whether the process under study is believed to be in control or not.
A process capability analysis may be performed on a stable process to predict the ability of the process to produce "conforming product" in the future. A stable process can be demonstrated by a process signature that is free of variances outside of the capability index. A process signature is the plotted points compared with the capability index.
Process capability is the ability of a process to produce output within specified limits. [1] To help determine whether a manufacturing or business process is in a state of statistical control, process engineers use control charts, which help to predict the future performance of the process based on the current process.
Capability Maturity Model Integration (CMMI) is a process level improvement training and appraisal program. Administered by the CMMI Institute , a subsidiary of ISACA , it was developed at Carnegie Mellon University (CMU).
The Capability Maturity Model was originally developed as a tool for objectively assessing the ability of government contractors' processes to implement a contracted software project. The model is based on the process maturity framework first described in IEEE Software [2] and, later, in the 1989 book Managing the Software Process by Watts ...
Other measures of process performance include: Process capability indices such as C pk [1] Natural tolerance limit or sigma level; PPM defective or defective parts per million; Process performance indices such as P pk; Quality costs or cost of poor quality (COPQ)