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Service and construction require large resource, thus there is a need for a comprehensive method for optimal resource allocation. The purpose of this study is to develop and use scaled critical factor index (SCFI) for sustainable resource allocations in a service provision company and a lean...
Persistent link: https://www.econbiz.de/10011130047
A modified median chart with estimated control limits is proposed for monitoring the mean value of a normal process. The estimates for the nominal process parameters used to set up the control limits in Phase I are the average of the sample medians and the average of the sample ranges of m...
Persistent link: https://www.econbiz.de/10010722756
Few approaches for monitoring autocorrelated attribute data have been proposed in the literature. If the marginal process distribution is binomial, then the binomial AR(1) model as a realistic and well-interpretable process model may be adequate. Based on known and newly derived statistical...
Persistent link: https://www.econbiz.de/10004992274
Statistical process control (SPC) has evolved beyond its classical applications in manufacturing to monitoring economic and social phenomena. This extension requires consideration of autocorrelated and possibly non-stationary time series. Less attention has been paid to the possibility that the...
Persistent link: https://www.econbiz.de/10005040997
Statistical process control (SPC) has evolved beyond its classical applications in manufacturing to monitoring economic and social phenomena. This extension requires consideration of autocorrelated and possibly non-stationary time series. Less attention has been paid to the possibility that the...
Persistent link: https://www.econbiz.de/10005581106
Exponentially weighted moving average (EWMA) plans for non-homogeneous negative binomial counts are developed for detecting the onset of seasonal disease outbreaks in public health surveillance. These plans are robust to changes in the in-control mean and over-dispersion parameter of the...
Persistent link: https://www.econbiz.de/10009279036