Journal of Material Sciences & Engineering

Pedro Pablo Angeles Chero

Publications

• Research Article
  Statistical Process Control Applied in the Chemical and Food Industry
  Author(s): Pedro Pablo Angeles CheroPedro Pablo Angeles Chero
  
  Statistical process control (SPC) is a tool to improve the quality and productivity of processes. The objective of this research was to apply statistical control charts in chemical and food industrial processes and highlight their advantages in the control of processes. For the study, the control data of the processes of 4 industrial plants was used: rectified ethyl alcohol distillation plant, asparagus processing plant, soluble coffee production plant and light liquid fuel production plant. The deductive methodology was applied, based on the type of data: variable or attribute, constant or variable sampling, evaluation of the defective fraction, number of defects, variability of processes. With this, the statistical control chart suitable for the process was selected. The results showed that in the food industry the np and p charts can be used to evaluate the defective fraction and f.. Read More»
  

  Abstract PDF