In recent years, the coefficient of variation (CV) chart is receiving increasing attention in
quality control. A number of studies demonstrated that adaptive charts could detect process …

This study illustrates a factory's production efficiency by demonstrating its energy efficiency
in the dairy milk industry. Determining the thermal energy to save energy enhances the prof …

This study models milk product processing and sustainable of the shelf-life extension in a
dairy factory using artificial intelligence. The Cappadocia dairy factory was used to study …

The number of event occurrences, called counts are prevalent in many fields such as
manufacturing industry and public health. Control charts have been widely employed to …

This paper aims at exploring the applications of advanced Statistical Process Control (SPC)
tool like Cumulative Sum (CUSUM) with V-mask for monitoring of advanced materials of …

In statistical process monitoring, control charts typically depend on a set of tuning
parameters besides its control limit (s). Proper selection of these tuning parameters is crucial …

Аннотация Рассмотрен один из последовательных параметрических методов
обнаружения «разладки» дискретного случайного процесса, т. е. спонтанного …

This paper considers the bivariate copula-based first-order Markov models to describe
nonlinear dependence in autocorrelated data. Then the cumulative sum (CUSUM) charts …

In this study, different ranked-based sampling (RBS) schemes are used to design a sensitive
control chart to monitor the small or moderate shifts in the process mean and named …

Compared to the grid search approach to optimal design of control charts, the gradient-
based approach is more computationally efficient as the gradient information indicates the …