|
|
|
Critical Control Variable Identification OverviewThe first step in process optimization is to determine which process variables represent Quality Variables for your plant and its customers. The subsequent determination of all control variables, which are critical to the optimization of selected Quality Variables, is essential to any process improvement strategy. The PPI program utilizes historical data to determine those control variables which have had the greatest impact on the selected process Quality Variables in the past. This Critical Control Variable (CCV) Identification is achieved by means of extensive analysis of cleaned and integrated historical plant process data. Developed by Stochos, Inc., the CCV Identification Program performs data analysis. It has been utilized by a large number of diverse manufacturing processes producing spectacular results when incorporated into process improvement strategies. One case study involved analyzing historical data from over 450 different process variables to identify CCV’s for 4 different Quality Variables in one manufacturing facility. PPI incorporates the CCV Identification Program to identify CCV’s which will optimize the selected Quality Variables. Once PPI is fully implemented, CCV Identification is constantly running in the background to compile, analyze and compare the current on-line data feed with its historical database. This means the CCV selection is dynamic and works with on-line data collection to detect any shift in the process and control variables. PPI continuously determines if new control variables have become critical to the process. This takes place in real-time, not later after the damage is done. The Process Improvement Cycle would immediately shift to include the newly-identified critical control variables. The CCV Identification Program is also designed to complete a “step-wise” analysis. The selection of the desired Quality Variables usually occurs as outputs of the final stage of the manufacturing process. “Intermediate” variables in the various steps of the process could have a direct impact on the final Quality Variables. The CCV Identification Program will determine the CCV’s for both the final Quality Variables, and the intermediate process (Quality) variables. Then PPI can run multiple Process Improvement Cycles to optimize a series of Quality variables, both final and intermediate. |
|
Send mail to webmaster@stochos.com
with questions or comments about this web site. |