Version 1
: Received: 10 April 2024 / Approved: 10 April 2024 / Online: 10 April 2024 (15:52:41 CEST)
How to cite:
Sancho, J.; Martínez, J.; Pastor, J.; Cajal, C. Functional Process Control (FPC): A Methodology to Reduce Variability. Preprints2024, 2024040740. https://doi.org/10.20944/preprints202404.0740.v1
Sancho, J.; Martínez, J.; Pastor, J.; Cajal, C. Functional Process Control (FPC): A Methodology to Reduce Variability. Preprints 2024, 2024040740. https://doi.org/10.20944/preprints202404.0740.v1
Sancho, J.; Martínez, J.; Pastor, J.; Cajal, C. Functional Process Control (FPC): A Methodology to Reduce Variability. Preprints2024, 2024040740. https://doi.org/10.20944/preprints202404.0740.v1
APA Style
Sancho, J., Martínez, J., Pastor, J., & Cajal, C. (2024). Functional Process Control (FPC): A Methodology to Reduce Variability. Preprints. https://doi.org/10.20944/preprints202404.0740.v1
Chicago/Turabian Style
Sancho, J., Jorge Pastor and Carlos Cajal. 2024 "Functional Process Control (FPC): A Methodology to Reduce Variability" Preprints. https://doi.org/10.20944/preprints202404.0740.v1
Abstract
In the last century, statistical process control has been considered a successful methodology for monitoring the variability and stability of a process over time. The analysis of variability using functional data analysis has become widespread during the early years of the 21st century. The present study proposes the implementation of a hybrid methodology called functional process control based on the functional data analysis methodology and combines its advantages with those of statistical process control, in order to provide a tool for detecting functional deviations. The phases are: (1) stabilization of processes through the identification and elimination of special causes of functional variability; (2) improvement of the process to be controlled by minimizing the common causes of functional variability; and (3) monitoring of the processes to ensure the maintenance or addition of further improvements.
Computer Science and Mathematics, Applied Mathematics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
