This relationship can be represented either by a reflective model (i.e., a set of measures reflecting the capability of a process) or a formative model (i.e., a set of measures that collectively determines the overall capability of a process).
Noxs (NADPH oxidases) are well-known sources of superoxide, which contribute to the antimicrobial capabilities of macrophages, a process involving the prototypical member of the family referred to as Nox2.
In process improvement efforts, the process capability index or process capability ratio is a statistical measure of process capability: the ability of a process to produce output within specification limits.
Traditional tolerance analysis of optical systems does not consider the capabilities of a real manufacturing process and variations caused by the tolerances of optical and mechanical components that occur in the assembly process.
This study investigates the capability of a comprehensive process simulation model to predict the transient response of a triple-pressure heat recovery steam generator (HRSG) with reheater to the start-up and shutdown procedures of a heavy-duty gas turbine.
There are several statistics such as Cp, Cpk, Cpm, Cpmk, and so on, which are used to estimate the capability of a manufacturing process where in most cases, the normal distribution and a large sample size is assumed for population of data [3, 4].
This paper aims at evaluating the capability of a detritiation process to match the ITER requirements.For that purpose potential detritiation methods have been analysed in terms of detritiation performance leading to the choice of a reference process based on thermal treatment.
Due to the importance of improving the capability and quality of a process for adjusting size of the product particles the optimal precipitation reaction parameters were evaluated using the parameter design of the Taguchi method.
This research focuses on a language for specifying the necessary, sufficient and efficient capabilities of a system, particularly the processes by which a system responds to external stimuli and sustains internal integrity.
Such framework is facilitated by a holistic modeling approach that combines the capabilities of Object Process Methodology (OPM), Colored Petri Net (CPN) and feature model.
