Premium
IMPLEMENTATION of an AUTOMATED REAL‐TIME STATISTICAL PROCESS CONTROLLER
Author(s) -
TAN J.,
CHANG Z.,
HSIEH F.
Publication year - 1996
Publication title -
journal of food process engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.507
H-Index - 45
eISSN - 1745-4530
pISSN - 0145-8876
DOI - 10.1111/j.1745-4530.1996.tb00380.x
Subject(s) - statistical process control , computer science , process (computing) , controller (irrigation) , measure (data warehouse) , control chart , product (mathematics) , process control , shewhart individuals control chart , data mining , mathematics , ewma chart , agronomy , biology , operating system , geometry
Through a simple application, this research demonstrates the potential and procedure of applying computer vision and control techniques in developing automated real‐time statistical process controllers (SPC). A computer vision system was developed to sample and measure quality variables (area, length, and width) of an extruded food product. Shewhart control charts were used to monitor the state of statistical control. Corrective actions were determined by using a PI control algorithm to minimize the product size variation caused by material inconsistency in moisture content. the system was implemented and tested. Considerable improvement was achieved in product size uniformity.