Attribute data from high quality processes can be monitored effectively by deciding on whether or not to stop at each time where r ≥ 1 failures have occurred. The smaller the degree of change in failure rate during Out-of-Control one wants to be optimally protected against, the larger r should be. Under homogeneity, the distribution involved is negative binomial. However, in health care monitor...

A control chart is an important tool in statistical process monitoring that useful to monitor and improve production quality. In this article, attribute using repetitive sampling under a truncated life test proposed for the mean of product where lifetime follows Rayleigh distribution. The parameters limit coefficients are determined so in-control average run length (ARL) very close target ARL. ...

O, ye who believe! If ye will aid, (the cause of) God, He will aid you, and plant your feet firmly. Verily, with every difficulty there is relief. Therefore, when thou art free (from thine immediate task), still labour hard. And to thy Lord turn (all) thy attention.

Totally unordered or discontinuous composition blows up chart size on most setups. This paper analyzes the effects of total unordering to type 2 grammars and simple attribute-value grammars (sAVGs). In both cases, charts turn exponential in size. It is shown that the k-ambiguity constraint turns charts polynomial, even for s-AVGs. Consequently, tractable parsing can be deviced.

1. Statistical principles, quality system standards, six sigma, service 2. Charts, graphs, sampled data as foundational statistical tools 3. Attribute charting systems 4. The P chart steps for constructing attribute data 5. Attributes, checklists and charting 6. SPC, X-bar and R, variable charting 7. Cp and Cpk definitions and capability 8. Quality characteristic foundations, changing relations...

An attractive way to control attribute data from high quality processes is to wait till r ≥ 1 failures have occurred. The choice of r in such negative binomial charts is dictated by how much the failure rate is supposed to change during Outof-Control. However, these results have been derived for the case of homogeneous data. Especially in health care monitoring, (groups of) patients will often ...

statistical process control (spc) charts play a major role in quality control systems, and their correct interpretation leads to discovering probable irregularities and errors of the production system. in this regard, various artificial neural networks have been developed to identify mainly singular patterns of spc charts, while having drawbacks in handling multiple concurrent patterns. in this...